WO2016165606A1 - 数据收集方法、设备和系统 - Google Patents

数据收集方法、设备和系统 Download PDF

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Publication number
WO2016165606A1
WO2016165606A1 PCT/CN2016/079051 CN2016079051W WO2016165606A1 WO 2016165606 A1 WO2016165606 A1 WO 2016165606A1 CN 2016079051 W CN2016079051 W CN 2016079051W WO 2016165606 A1 WO2016165606 A1 WO 2016165606A1
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WO
WIPO (PCT)
Prior art keywords
user
motion
information
time
server
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PCT/CN2016/079051
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English (en)
French (fr)
Inventor
王超
郭晓
钟聆芳
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腾讯科技（深圳）有限公司
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Application filed by 腾讯科技（深圳）有限公司 filed Critical 腾讯科技（深圳）有限公司
Publication of WO2016165606A1 publication Critical patent/WO2016165606A1/zh
Priority to US15/485,675 priority Critical patent/US10523771B2/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
    • A63B24/0006—Computerised comparison for qualitative assessment of motion sequences or the course of a movement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3438—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment monitoring of user actions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/52—Network services specially adapted for the location of the user terminal
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/535—Tracking the activity of the user
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
    • A63B24/0006—Computerised comparison for qualitative assessment of motion sequences or the course of a movement
    • A63B2024/0009—Computerised real time comparison with previous movements or motion sequences of the user
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/30—Speed
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/40—Acceleration

Definitions

  • the present invention relates to the field of communications technologies, and in particular, to a data collection method, device, and system.
  • social networking technology users can find friends on the social network who have the same interests and interests.
  • the user should manually fill in his or her hobbies, so that the system can assign the user to the group corresponding to the hobby according to the hobbies input by the user, so that the user can find the group within the group. Friends with the same interests.
  • social software relies on the user to manually enter their hobbies, and the input steps are cumbersome, and the user may skip the input step directly.
  • Embodiments of the present invention provide a data collection method, device, and system, which can automatically acquire user preferences.
  • An embodiment of the present invention provides a data collection method, including:
  • the motion information collecting device acquires motion data of the user
  • the user's exercise preference information is transmitted to the server, so that the server determines other users corresponding to the sports preferences based on the user's exercise preference information.
  • the analyzing the motion data of the user and determining the motion preference of the user according to the motion data comprises: analyzing motion data of the user, and determining a motion type of the user according to the motion data;
  • the method further includes: the motion information collecting device acquires a motion position and/or a motion time of the user; the motion information collecting device further sends the motion position and/or the motion time to a server, so as to The server divides the user into groups of other users that correspond to the athletic location and/or exercise time based on the motion location and/or exercise time.
  • the motion information collecting device is provided with an acceleration sensor
  • the motion information collecting device acquires motion data of the user, including: the acceleration sensor detects a motion speed of the user;
  • the motion information collecting device analyzes motion data of the user and according to the number of motions Determining the type of motion of the user, comprising: when detecting that the motion speed of the user within the first preset duration is greater than the first preset value, the motion information collection device determines that the motion type of the user is running .
  • the motion information collection device is provided with a gyroscope
  • Acquiring the motion data of the user by the motion information collecting device comprising: detecting, by the gyroscope, a swing angle of the user;
  • the motion information collecting device analyzes the motion data of the user and determines the motion type of the user according to the motion data, including: when detecting that the user swings in the second preset time, the swing angle is greater than the second preset value.
  • the motion information collecting device determines that the type of motion of the user is a ball sport.
  • the motion information collecting device analyzes the motion data of the user and determines the motion type of the user according to the motion data, including: detecting the number of times the motion data of the user meets the preset condition within a preset time period. When it is detected that the number of times reaches the third preset value, the motion information collecting apparatus determines that the motion type of the user is a motion type corresponding to the preset condition.
  • the analyzing the motion data of the user and determining the motion preference of the user according to the motion data comprises: analyzing motion data of the user, and determining a source movement trajectory of the user according to the motion data,
  • the source movement track includes position information of a plurality of positions moved by the user and time information of the source movement track;
  • the method also includes receiving user information of the recommended user returned by the server.
  • the determining a source movement trajectory of the user includes: acquiring location information and time information of a starting point when the user starts moving; acquiring location information and time information of multiple locations during the user moving process; When the user movement ends, the position information and the time information of the end point are acquired; and the source movement trajectory including the position information and the time information of the start point, the plurality of positions, and the end point is generated.
  • the generating a source movement track including the location information of the start point, the plurality of locations, and the end point, and the time information including: determining, according to the location information and the time information of the multiple locations, whether the path of the user movement has a specific a path, if yes, performing a thinning operation on the plurality of locations in the plurality of locations to obtain a plurality of thinning locations; generating the starting point, the plurality of non-slimming locations, and multiple thinning Location information of the location and the end point and a source movement trajectory of the time information, the plurality of non-sparse locations being a plurality of locations of the plurality of locations not located in the particular path.
  • the specific path includes at least one of the following: a path of a traffic jam and a path keeping a straight line.
  • the recommended user includes: a user who moves at least one of the plurality of road sections through which the source movement track passes during the target time, and the target time is different from the time interval formed by the start point and the end point of the source movement track.
  • the plurality of road segments through which the source movement track passes are that the server performs road segment matching on a plurality of locations included in the source movement track, and obtains a plurality of road segments through which the source movement track passes, and the The server further calculates an order in which the source movement trajectory passes through each of the road segments according to time information of each of the positions.
  • the recommended user includes at least one of: a first user whose movement trajectory coincides with the source movement trajectory during the target time; a movement trajectory within the target time belongs to a part of the source movement trajectory a second user; a movement trajectory within the target time comprising a third user of the source movement trajectory; a movement trajectory during the target time and the source shift a fourth user having a part of the same path, wherein the part of the same path is a continuous path; a fifth user who has the same path as the part of the source movement track in the target time, wherein The starting point of the fifth user movement is the same as the starting point of the source moving track, and the part of the same path is a discontinuous path.
  • the embodiment of the invention further provides a data collection method, including:
  • Other users corresponding to the sports preferences are determined based on the user's sports preference information.
  • the motion preference information of the user that is sent by the motion information collection device includes: receiving motion type information of the user that is sent by the motion information collection device;
  • Determining other users corresponding to the sports preferences according to the user's sports preference information includes assigning the users to a group including other users corresponding to the sports type according to the user's exercise type information.
  • the method further comprises: receiving a movement position and/or a movement time of the user; and dividing the user according to the movement position and/or the movement time to include the movement position and/or the movement time In the group of other users.
  • the motion preference information of the user sent by the receiving motion information collection device includes: receiving a source movement track sent by the motion information collection device, where the source movement track includes location information of the plurality of positions moved by the user, and the source movement track. Time information;
  • Determining, according to the user's sports preference information, other users corresponding to the sports preferences includes: searching for a user moving in at least one of the plurality of locations within a target time according to the source movement trajectory, and using the user as Referring to the user, the difference between the target time and the time indicated by the time information is within a preset time threshold;
  • the method also includes transmitting user information of the recommended user.
  • the source movement trajectory includes: a starting point of the source movement trajectory, a plurality of positions, and The position information and the time information of the end point, the target time being different from the time interval formed by the start point and the end point of the source movement track within a preset time threshold.
  • the finding, according to the source movement trajectory, a user moving in at least one of the plurality of positions within a target time, and using the user as a recommended user includes: a plurality of locations included in the source movement track Performing link matching, obtaining a plurality of road segments through which the source movement track passes, and calculating an order of the source movement track passing through each of the road segments according to time information of each position; searching for the source in the target time A user who moves at least one of the plurality of road sections through which the trajectory passes, and uses the user as a recommended user.
  • the recommended user includes at least one of: a first user whose movement trajectory coincides with the source movement trajectory during the target time; a movement trajectory within the target time belongs to a part of the source movement trajectory a second user; a movement trajectory in the target time includes a third user of the source movement trajectory; a fourth user in which the movement trajectory in the target time has a same path as the source movement trajectory portion, wherein And the part of the same path is a continuous path; a fifth user who has a same path as the source movement track in the target time, wherein the fifth user moves the starting point and the source The starting point of the moving track is the same, and the part of the same path is a discontinuous path.
  • the user who searches for at least one of the plurality of road segments that the source movement track passes in the target time, and uses the user as the recommended user includes: determining whether the first user exists, if If yes, the first user is used as a recommended user; if the first user does not exist, it is determined whether the second user exists, and if yes, the second user is used as a recommended user; Determining, by the first user and the second user, whether the third user exists, and if present, using the third user as a recommended user; if the first user, the second user, and the a third user, determining whether the fourth user exists, and if present, using the fourth user as a recommended user; if the first user, the second user, the third user, and the a fourth user, determining whether the fifth user exists, If present, the fifth user is referred to as a recommended user.
  • An embodiment of the present invention further provides an activity information collection device, including:
  • An acquisition module configured to acquire motion data of the user
  • An analysis module configured to analyze motion data of the user, and determine a motion preference of the user according to the motion data
  • a sending module configured to send the user's sports preference information to the server, so that the server determines other users corresponding to the sports preference according to the user's sports preference information.
  • the analyzing module analyzes the motion data of the user, and determining the motion preference of the user according to the motion data, comprising: the analyzing module analyzing motion data of the user, and determining, according to the motion data, the The type of motion of the user;
  • the sending module sends the user's sports preference information to the server, so that the server determines, according to the user's sports preference information, other users corresponding to the sports preferences: the sending module moves the user
  • the type information is sent to the server, so that the server divides the user into a group including other users corresponding to the type of exercise according to the motion type information of the user.
  • the obtaining module is further configured to acquire a motion position and/or a motion time of the user;
  • the sending module is further configured to send the moving position and/or the moving time to the server, so that the server divides the user into the moving position and/or according to the moving position and/or the moving time.
  • the exercise time corresponds to the group of other users.
  • the motion information collecting device further includes an acceleration sensor
  • the acquiring module acquires motion data of the user, including: the acceleration sensor detects a motion speed of the user;
  • the analyzing module analyzes motion data of the user and determines a motion type of the user according to the motion data, including: detecting a motion speed of the user within a first preset duration When the degree is greater than the first preset value, the analysis module determines that the type of motion of the user is running.
  • the motion information collection device is provided with a gyroscope
  • the obtaining module acquires motion data of the user, including: the gyroscope detects a swing angle of the user;
  • the analyzing module analyzes the motion data of the user and determines the motion type of the user according to the motion data, including: when detecting that the swing angle of the user is greater than a second preset value within a second preset duration, The analysis module determines that the type of motion of the user is a ball sport.
  • the analyzing module analyzes the motion data of the user and determines the motion type of the user according to the motion data, including: detecting a number of times that the motion data of the user meets a preset condition within a preset time period; When detecting that the number of times reaches the third preset value, the analysis module determines that the motion type of the user is a motion type corresponding to the preset condition.
  • the analyzing module analyzes the motion data of the user, and determining the motion preference of the user according to the motion data, comprising: the analyzing module analyzing motion data of the user, and determining, according to the motion data, the a source movement trajectory of the user, where the source movement trajectory includes position information of a plurality of positions moved by the user and time information of the source movement trajectory;
  • the sending module sends the user's sports preference information to the server, so that the server determines, according to the user's sports preference information, other users corresponding to the sports preferences: the sending module uses the user's source
  • the movement trajectory information is sent to the server, so that the server determines a recommended user according to the source movement trajectory information of the user, the recommended user includes a user who moves at at least one of the plurality of positions within a target time, the target time The difference from the time indicated by the time information is within a preset time threshold;
  • the motion information collection device further includes: a receiving unit, configured to receive user information of the recommended user returned by the server.
  • the obtaining module includes:
  • a first acquiring unit configured to acquire location information of the starting point when the user starts moving And time information
  • a second acquiring unit configured to acquire location information and time information of multiple locations during the user movement
  • a third acquiring unit configured to acquire location information and time information of the end point when the user moves ends
  • the analysis module is configured to generate a source movement trajectory including position information and time information of the starting point, the plurality of positions, and the end point.
  • the analysis module includes:
  • a thinning unit configured to determine, according to the location information and the time information of the multiple locations, whether the path moved by the user has a specific path, and if yes, to multiple locations in the specific path among the multiple locations Performing a thinning operation to obtain a plurality of thinning positions;
  • a generating unit configured to generate source moving trajectory including position information and time information of the starting point, the plurality of non-slimming positions, the plurality of thinning positions, and the ending point, wherein the plurality of non-dilution positions are the plurality of positions Not located in multiple locations in the particular path.
  • the recommended user includes: a user who moves at least one of the plurality of road sections through which the source movement track passes during the target time, and the target time is different from the time interval formed by the start point and the end point of the source movement track.
  • the plurality of road segments through which the source movement track passes are that the server performs road segment matching on a plurality of locations included in the source movement track, and obtains a plurality of road segments through which the source movement track passes, and the The server further calculates an order in which the source movement trajectory passes through each of the road segments according to time information of each of the positions.
  • the embodiment of the invention further provides a server, including:
  • a receiving module configured to receive motion preference information of the user sent by the motion information collecting device
  • a processing module configured to determine other users corresponding to the sports preference according to the user's sports preference information.
  • the receiving module receives the user's sports preferences sent by the motion information collecting device.
  • the information includes: the receiving module receives the motion type information of the user sent by the motion information collecting device;
  • Determining, by the processing module, the other users corresponding to the sports preferences according to the user's sports preference information includes: the processing module assigning the user to include the motion type according to the motion type information of the user In the group of other users.
  • the receiving module is further configured to receive a motion position and/or a motion time of the user;
  • the processing module is further configured to assign the user to a group of other users corresponding to the motion location and/or exercise time based on the motion location and/or exercise time.
  • the receiving module receiving the motion preference information of the user sent by the motion information collecting device includes: the receiving module receiving the source moving track of the user sent by the motion information collecting device, where the source moving track includes the user moving Location information of a plurality of locations and time information of the source movement trajectory;
  • Determining, by the processing module, the other users corresponding to the sports preferences according to the user's sports preference information includes: the processing module searching, according to the source movement trajectory, at least one of the plurality of positions during the target time a user, and using the user as a recommended user, the difference between the target time and the time indicated by the time information is within a preset time threshold;
  • the server further includes: a sending module, configured to send user information of the recommended user.
  • the source movement trajectory includes: a start point of the source movement trajectory, position information of a plurality of positions and an end point, and time information, and the target time is different from a time interval formed by the start point and the end point of the source movement trajectory. Set the time threshold.
  • the processing module includes:
  • a matching unit configured to perform road segment matching on the plurality of locations included in the source movement track, obtain a plurality of road segments through which the source movement track passes, and calculate, according to time information of each position, the source movement track The order of the road segments;
  • a searching unit configured to find that the moving track of the source passes during the target time A user who moves at least one of the road segments and uses the user as a recommended user.
  • An embodiment of the present invention further provides a motion information collecting system, including the motion information collecting device as described above and the server as described above.
  • the motion information collecting device analyzes the collected motion data of the user, and determines the motion preference of the user according to the motion data, so as to send the sport preference information to the server, so that the server can perform motion according to the user. It is preferred to determine the user corresponding to the sports preference; thus, the user's preference can be automatically obtained, and the user's preference analyzed by the motion information collecting device according to the collected data can also conform to the user's real situation.
  • FIG. 1 is a flowchart of a method for data collection according to an embodiment of the present invention
  • FIG. 2 is a flowchart of a method for data collection according to an embodiment of the present invention.
  • FIG. 3 is a flowchart of a method for data collection according to an embodiment of the present invention.
  • FIG. 4 is a flowchart of a method for data collection according to an embodiment of the present invention.
  • FIG. 5 is a flowchart of a method for data collection according to an embodiment of the present invention.
  • FIG. 6 is a schematic diagram of various optional movement trajectories according to an embodiment of the present invention.
  • FIG. 7 is a flowchart of a method for data collection according to an embodiment of the present invention.
  • FIG. 8 is a flowchart of a method for data collection according to an embodiment of the present invention.
  • FIG. 9 is a flowchart of a method for data collection according to an embodiment of the present invention.
  • FIG. 10 is a flowchart of a method for data collection according to an embodiment of the present invention.
  • FIG. 11 is a flowchart of a method for data processing according to an embodiment of the present invention.
  • FIG. 12 is a flowchart of a method for data processing according to an embodiment of the present invention.
  • FIG. 13 is a flowchart of a method for data processing according to an embodiment of the present invention.
  • FIG. 14 is a schematic structural diagram of a motion information collection device according to an embodiment of the present invention.
  • FIG. 15 is a schematic structural diagram of a motion information collection device according to an embodiment of the present invention.
  • FIG. 16 is a schematic structural diagram of a motion information collection device according to an embodiment of the present invention.
  • FIG. 17 is a schematic structural diagram of a motion information collection device according to an embodiment of the present invention.
  • FIG. 18 is a schematic structural diagram of a motion information collection device according to an embodiment of the present invention.
  • FIG. 19 is a schematic structural diagram of a server according to an embodiment of the present invention.
  • FIG. 20 is a schematic structural diagram of a server according to an embodiment of the present invention.
  • FIG. 21 is a schematic structural diagram of a server according to an embodiment of the present invention.
  • FIG. 22 is a schematic structural diagram of a server according to an embodiment of the present invention.
  • FIG. 23 is a schematic structural diagram of a searching unit in a server according to an embodiment of the present invention.
  • FIG. 24 is a schematic structural diagram of a motion information collecting system according to an embodiment of the present invention.
  • 25 is a schematic diagram of an application environment of a method for data processing according to an embodiment of the present invention.
  • FIG. 26 is a schematic diagram of an application environment of a method for collecting data according to an embodiment of the present invention.
  • Embodiments of the present invention provide a data collection/processing method, a motion information collection device, a server, and a system, which are used to automatically acquire a user's sports preferences.
  • FIG. 1 illustrates a method of data collection in an embodiment of the present invention.
  • the method can be applied to a motion information collecting device.
  • the method includes steps 101-102.
  • the motion information collection device acquires motion data of the user.
  • FIG. 2 illustrates a method of data collection in an embodiment of the present invention.
  • the method can be applied to a motion information collecting device.
  • the motion information collecting device may be any device capable of collecting user motion information.
  • the motion information collection device may be a wearable device, such as a smart watch, a smart bracelet, a smart phone, etc., and is not limited herein.
  • the data collection method in the embodiment of the present invention includes steps 201-203.
  • the motion information collection device acquires motion data of the user.
  • the motion information collecting device is a wearable device.
  • the user can wear the motion information collecting device on the body such that the motion information collecting device moves simultaneously with the user's motion, so that the motion information collecting device can acquire the user's motion data by detecting the motion data of the user.
  • an acceleration sensor is provided in the motion information collecting device to detect its own speed.
  • the user wears the motion information collecting device during exercise, so that the motion information of the motion information collecting device is the same as the user's motion speed.
  • the motion information collecting device detects the motion data of the user by detecting the motion data of the own by the acceleration sensor.
  • a gyroscope is provided in the motion information collecting device to detect a change in its own tilt angle.
  • the user can wear the motion information collecting device on the hand or other parts while exercising, so that the tilt angle of the motion information collecting device and the inclination of the user's hand or other parts The angle of inclination is the same.
  • the motion information collecting device detects changes in the tilt angle of the user's hand or other parts by detecting changes in the tilt angle of the gyroscope.
  • the motion information collecting device may determine whether the user is in motion by acquiring the human body data of the user, and thereby acquire motion data of the user.
  • the motion information collection device can also obtain the motion data of the user by other means, and is not limited herein.
  • the motion information collecting device can analyze the acquired motion data to obtain the motion type of the user.
  • the user's sports preference refers to the type of exercise that the user likes. Since the motions of different types of motions are different, when it is detected that the motion data of the user meets certain conditions, it can be confirmed that the user is in a certain type of motion, and then the motion type of the user is classified into the motion type.
  • the motion information collecting device is provided with an acceleration sensor.
  • the acceleration sensor detects that the motion speed is greater than the first preset value in the first preset duration (for example, 30 minutes), the motion information is collected.
  • the device determines that the user is in running, thereby classifying the type of motion of the user into running.
  • the motion information collecting device is provided with a gyroscope, and the user wears the motion information collecting device on the hand, and when the gyroscope detects that the swing angle is greater than the second preset value within the second preset time period, the The motion information collection device determines that the user is in a ball sport, and then classifies the user's sport preferences into ball sports.
  • the gyroscope can also distinguish which type of ball motion the user is in, according to the difference of the swing angle change in the second preset time period, and then classify the user's motion type into the ball type motion.
  • the social information account of the user is registered in the motion information collection device, and the user's sports preference information is sent to the server through the social account of the user.
  • the user's athletic preference refers to the type of exercise that the user likes.
  • a variety of different motion types are recorded in the server, wherein different motion types correspond to different groups, and each group includes users whose sports preferences are the corresponding motion types of the group. In this way, users can find other users in their group who have the same preferences as themselves.
  • the motion information collecting device analyzes the collected motion data of the user, and determines the motion type of the user according to the motion data, so as to send the motion type information to the server, so that the server according to the user
  • the motion type information divides the user into a group corresponding to the type of exercise; thus, avoiding a series of cumbersome processes such as inputting a user's preference when logging in to a social account, automatically acquiring the user's preference, and collecting motion information.
  • the user's preferences based on the collected data are also able to match the user's real situation.
  • the motion information collection device determines the motion type of the user.
  • the type of motion of the user generally occurs multiple times, and occasionally one or two occurrences are not necessarily the user's sports preferences.
  • the motion information collecting device can determine the type of motion that the user likes by adding a judgment condition.
  • the motion information collecting device analyzing the motion data of the user and determining the motion type of the user according to the motion data further comprises: measuring motion data of the user at a preset time The number of times in the segment that meets the preset condition; when it is detected that the number reaches the third preset value, the motion information collecting device determines that the motion type of the user is the motion type corresponding to the preset condition.
  • the motion information collecting device detects that the motion data of the user meets the preset condition, it may be determined that the user is performing a certain type of motion, and the motion information collecting device accumulates the number of times the user performs the motion of the motion type. After accumulating, the motion information collection device detects that the user is The sum of the times within a preset time period (for example, within the current month). When it is detected that the number of times the user performs the motion of the first motion type within the preset time period reaches the third preset value, the user's preference is confirmed as the first motion type. This can better match the user's real preferences when classifying the user's sports preferences.
  • the motion information collecting device transmits the type information of the user to the server, so that the server groups the users according to the dimension information of the user.
  • the differentiation dimension of the server may be increased, that is, the parameters detected by the motion information collecting device are increased.
  • the motion information collection device acquires motion data of the user.
  • step 201 in the embodiment shown in FIG. 2.
  • step 202 in the embodiment shown in FIG. 2.
  • the motion information collection device further acquires a motion position and/or a motion time of the user.
  • the motion information collecting device can acquire the current position and/or the current time corresponding to the user's motion data, and then the current position is the user's sports favorite position, and the current time is the user's sports favorite time.
  • the global information system may be disposed in the motion information collection device, and the current location of the motion information collection device is obtained by the global positioning system.
  • the motion information collecting device sends the motion type information of the user, and the motion position and/or the motion time to a server, so that the server is configured according to the motion type information, the geographic location, and/or motion.
  • the time divides the user into groups of other users that include the type of exercise and the geographic location and/or exercise time.
  • one of the established groups is a morning run group. Then, if the motion information collecting device detects that the user performs a morning run between 6 am and 7 am, the user can be assigned to the morning running group.
  • one of the groups is a badminton team at a certain gym. Then, if the motion information collecting device detects that the user plays badminton in the gym, the user can be assigned to the badminton team of the gym.
  • the motion information collection device detects the motion type information of the user and the time and/or location of the favorite activity, which can facilitate the server to be more refined when grouping the user, and helps the user in the group. Find other users with more common preferences.
  • FIG. 4 illustrates a method of data collection in an embodiment of the present invention.
  • the method includes steps 401-403.
  • the motion information collection device acquires motion data of the user.
  • the motion information collection device analyzes the motion data of the user, and determines a source movement trajectory of the user according to the motion data, where the source movement trajectory includes location information of the multiple locations moved by the user, and the source Time information for moving the track.
  • the above motion information collecting device may be a device that performs the method, for example, a user terminal.
  • the user terminal may be any intelligent terminal having a network function and a positioning function, such as an in-vehicle device, a tablet computer, a mobile phone, an e-reader, a remote controller, a notebook computer, a wearable device, etc., having network functions and positioning.
  • Functional smart device the movement trajectory in the embodiment of the present invention includes, but is not limited to, a movement trajectory that the user carries the user terminal to walk, and a trajectory of the user terminal on the vehicle.
  • the plurality of locations may be locations where the user is at an equal time interval in the source movement trajectory, or a position where the user is at an equal interval in the source movement trajectory, or the user moves at any number of time points in the source movement trajectory.
  • the location information may refer to geographic location information, such as latitude and longitude and orientation information, and may further include positioning accuracy information.
  • the time information of the source movement track may include time information of the user in the plurality of positions in the source movement track, that is, time information of each position, so that the time information of the user at different positions can be known by the time information.
  • the time information of the source moving track may further include time interval information of the source moving track, that is, a time interval in which the user moves the source moving track.
  • the server When the server receives the source movement track, it is possible to find a user who moves in at least one of the plurality of positions within the target time and use the user as a recommended user.
  • the user information of the recommended user may include the user name, user ID, user avatar, user mailbox, and the like of the recommended user, and the information of the current user may be identified.
  • the user who moves at least one of the source movement trajectories in the target time can be recommended, and the difference between the target time and the time indicated by the time information is within a preset time threshold, that is, the recommended users are the same or similar.
  • a preset time threshold that is, the recommended users are the same or similar.
  • the above method can be applied to a user terminal.
  • the method may further add the recommended user according to the foregoing user information.
  • the recommended user may be one or more users.
  • the source movement track of the user movement is acquired, and the source movement track is sent to the server, so that the server can determine the recommended user according to the source movement track; thereby receiving the user of the recommended user returned by the server.
  • Information, and the recommended user includes a user moving in at least one of the plurality of locations during a target time, the difference between the target time and the time indicated by the time information being within a preset time threshold. Therefore, the embodiment can implement a user who recommends similar movement trajectories to the user.
  • FIG. 5 is a schematic flowchart of another data collection method according to an embodiment of the present invention. As shown in FIG. 5, the method includes the following steps:
  • the step 501 is further configured to receive an operation instruction input by the user, and according to the set starting point of the operation instruction, when the user moves from the starting point, acquire location information and time information of the starting point, so that the starting point of the moving track can be implemented. Set by the user.
  • the location information and the time information of the plurality of locations may be acquired at equal time intervals, for example, the location information and the time information of the current location are acquired every 1 second or 20 seconds.
  • the location information and the time information of the multiple locations may be acquired at equal intervals, for example, the location information and the time information of the current location are obtained every 10 meters or 50 meters.
  • location information and time information of a plurality of locations may be randomly acquired.
  • the end of the user movement may refer to the user moving to a pre-designated location, or may be that the user has not moved within a certain time.
  • step 504 can include:
  • Generating a source movement trajectory including position information and time information of the starting point, a plurality of non-dilution positions, a plurality of thinning positions, and an end point, wherein the plurality of non-dilution positions are not among the plurality of positions Multiple locations in a specific path.
  • the position information and the time information of the plurality of positions are known, it is possible to judge the case of any of the source movement trajectories. For example, if the location information of multiple locations in a certain path is similar, and the time information of the multiple locations is similar, then it can be determined that the user moves slowly on the path, thereby judging that the path is jammed.
  • the movement trajectory in the path can be obtained by a small number of positions, in which case multiple positions in the specific path can be thinned to obtain a plurality of thinning positions, and the thinning operation can be understood as more than Select a part of the locations.
  • the thinning may be performed according to a specific position interval, or may be balanced according to the specific number of positions, for example, 10 or 5 positions of the same interval are selected from 50 positions, and, for example, 50 positions are extracted. Choose any 10 or 5 positions.
  • the path can be obtained as a straight line without turning, and in this case, the path can also be obtained through a small number of positions. Moving the trajectory, in this case, it is also possible to perform a thinning operation on a plurality of positions in the specific path to obtain a plurality of thinning positions. That is, the specific path described above may include at least one of the following:
  • the thinning operation is performed on a plurality of positions located in the specific path, the number of positions in the source moving track can be reduced, thereby reducing the amount of calculation, and the section. About network traffic.
  • step 505 the source mobile track is compressed and packaged, and the packaged data packet is sent to the server, thereby saving network traffic.
  • Receive user information of the recommended user returned by the server where the recommended user includes a user that moves in at least one of the multiple locations during a target time, the target time and a time indicated by the time information. The difference is within the preset time threshold.
  • the above recommended users may include:
  • the plurality of road segments through which the source movement track passes are that the server performs road segment matching on the plurality of locations included in the source movement track, and obtains a plurality of road segments through which the source movement track passes, and the server further according to each of the positions
  • the time information calculates the order in which the source movement trajectory passes through each of the road segments.
  • the server may perform road segment matching on the plurality of locations included in the source movement track to obtain a plurality of road segments through which the source movement track passes, and the server further according to each The time information of the position calculates the order in which the source movement trajectory passes through each of the road segments.
  • the server further searches for a user who moves at least one of the plurality of road sections through which the source movement track passes during the target time from the movement trajectories of other users acquired in advance.
  • the searched user ie, the recommended user
  • the searched user may be at least one of a first user, a second user, a third user, a fourth user, and a fifth user, where the first user and the second user are as follows.
  • the third user, the fourth user, and the fifth user can be described as follows:
  • a movement trajectory within the target time belongs to a second part of the source movement trajectory user
  • a movement trajectory within the target time includes a third user of the source movement trajectory
  • a fourth user having a moving path in the target time and a portion of the same path as the source moving track, wherein the part of the same path is a continuous path;
  • a fifth user having a same moving path as the source moving track in the target time, wherein a starting point of the fifth user movement is the same as a starting point of the source moving track, and the portion The same path is a discontinuous path.
  • the first user may further be a first user that moves according to the first movement trajectory during the target time, where the start point and the end point of the first movement trajectory are respectively the same as the start point and the end point of the source movement trajectory
  • the first moving track includes a road segment that is the same as the road segment of the source moving track. Since the start point and the end point of the first moving track are respectively the same as the start point and the end point of the source moving track, and the path included in the first moving track is the same as the path of the source moving track, the first moving track can be obtained.
  • the order of the passages is also the same as the order in which the source movement trajectories pass through the sections.
  • the source movement trajectory and the first movement trajectory may be as shown in FIG.
  • the source movement trajectory 601 is identical to the first movement trajectory 602 in FIG. 6a. It can be known from the above description that the trajectory of the first user moving in the same or similar time as the time when the user moves the source movement trajectory is the same as the trajectory of the user movement.
  • the second user may be a second user that moves according to the second movement trajectory during the target time, and the starting point of the second movement trajectory is the same as the starting point of the source movement trajectory or the second An end point of the movement trajectory is the same as an end point of the source movement trajectory, and the second movement trajectory includes a road segment having the same M road segments as the source movement trajectory, and the second movement trajectory passes the
  • the order of the M segments is the same as the order in which the source movement trajectories pass through the M segments, and the M is an integer greater than 1.
  • the source movement trajectory and the second movement trajectory may be as shown in FIG. 6b. In FIG.
  • the source movement trajectory 601 is the same as the end point of the second movement trajectory 603, and the source movement trajectory 601 includes the second movement trajectory 603.
  • the second user may be a second user that moves according to the second movement trajectory during the target time, and the second movement trajectory includes a road segment that has the same M as the source movement trajectory.
  • the order of the second movement track passing through the M road segments is the same as the order in which the source movement track passes through the M road segments, and the M is an integer greater than 1.
  • the source movement trajectory and the third movement trajectory may be as shown in FIG. 6c, and the source movement trajectory 601 includes a second movement trajectory 604 in FIG. 6c.
  • the third user may be a third user that moves according to the third movement trajectory during the target time, and the source movement trajectory belongs to a partial path of the third movement trajectory.
  • the source movement trajectory and the third movement trajectory may be as shown in FIG. 6d, and the third movement trajectory 605 includes the source movement trajectory 601 in FIG. 6d.
  • the fourth user may be a fourth user that moves according to the fourth movement trajectory during the target time, and the fourth movement trajectory includes a road segment that has the same H segments as the source movement trajectory. a road segment, and the order of the fourth movement trajectory passing through the H road segments is the same as the order in which the source movement trajectory passes through the H road segments, and the H is an integer greater than 1.
  • the source movement trajectory and the fourth movement trajectory may be as shown in FIG. 6e, and the source movement trajectory 601 includes a portion of the fourth movement trajectory 606 in FIG. 6e. It can be known from the above description that the trajectory of the fourth user moving in the same or similar time as the time when the user moves the source movement trajectory is the same as the trajectory portion of the user movement.
  • the fifth user may be a fifth user that moves according to the fifth movement trajectory during the target time, where the start point and the end point of the fifth movement trajectory are the same as the start point and the end point of the source movement trajectory, respectively.
  • the road segment included in the fifth movement track and the road segment in the source movement track have the same T road segments, and the T is an integer equal to or larger than a product of the total number of the fourth movement track total segment and the preset ratio. .
  • the total number of segments of the fifth moving track is 20, preset The ratio is 80%, then the above T can be an integer equal to or greater than 16.
  • the source movement trajectory and the fifth movement trajectory may be as shown in FIG. 6f. In FIG.
  • the source movement trajectory 601 and the fifth movement trajectory 607 have a partial overlap, and the coincidence is discontinuous. It can be known from the above description that the trajectory of the fifth user moving in the same or similar time as the time when the user moves the source movement trajectory is the same as the trajectory portion of the user movement.
  • the above one road segment may be one road in practice, or the above one road segment may be part of the actual road section.
  • one road may be divided into a south section, a middle section and a north section.
  • the server may further prioritize the multiple users, for example, A user is divided into a first level, a second user is divided into a second level, a third user is divided into a third level, a fourth user is divided into a fourth level, and a fifth user is divided into a fifth level.
  • a user is divided into a first level
  • a second user is divided into a second level
  • a third user is divided into a third level
  • a fourth user is divided into a fourth level
  • a fifth user is divided into a fifth level.
  • the method for collecting data in the embodiment of the present invention is described in the user side.
  • the method for collecting data in the embodiment of the present invention is described at the server side.
  • the method 700 for data collection in the embodiment of the present invention includes steps 701-702.
  • FIG. 8 illustrates a method of data collection in an embodiment of the present invention.
  • the method includes steps 801-802.
  • FIG. 9 illustrates a method of data collection in an embodiment of the present invention. As shown in FIG. 9, the method includes steps 901-903.
  • the location information may refer to geographic location information, such as latitude and longitude and orientation information, and may further include positioning accuracy information.
  • the time information of the source movement track may include time information of the user in the plurality of positions in the source movement track, that is, time information of each position, so that the time information of the user at different positions can be known by the time information.
  • the time information of the source moving track may further include time interval information of the source moving track, that is, a time interval in which the user moves the source moving track.
  • the movement trajectory of other users may be acquired before performing step 902, so that step 902 may find the recommended user in the previously acquired movement trajectory.
  • the user information of the recommended user may include the user name, user ID, user avatar, user mailbox, and the like of the recommended user, and the information of the current user may be identified.
  • the above method can be applied to a server.
  • the source moving track sent by the motion information collecting device is received, and then the user moving in at least one of the plurality of positions in the target time is searched according to the source moving track, and the user is used as the recommended user. Finally, the user information of the recommended user is sent. Therefore, the embodiment can implement a user who recommends similar movement trajectories to the user.
  • FIG. 10 illustrates another method of data collection in an embodiment of the present invention. As shown in FIG. 10, the method includes steps 1001-1004.
  • the multiple locations may be multiple locations acquired by the user during the time interval, such as: obtaining the location information and time information of the current location every 1 second or 20 seconds.
  • the plurality of locations acquired at equal intervals may be obtained, for example, the location information and the time information of the current location are obtained every 10 meters or 50 meters. Or multiple locations that are randomly acquired during user movement.
  • the method may be: pre-acquiring the location of the road segment of the specific area, so that when the multiple locations are obtained, the road segment to which each location belongs may be determined. For example, for a province, the location of the road segment included in the province can be obtained. Of course, these locations can be the reference locations of the road segment, so that the movement trajectory moving in the province can be quickly found.
  • a unique ID may be used for identification, that is, one ID corresponds to one road segment, so that multiple road segments through which the source movement track passes may be represented by multiple IDs.
  • the time interval of each of the path trajectories in the source movement trajectory is calculated according to the time information of each position, so that the order of the source movement trajectories passing through the respective road segments can be known through the time interval of each road segment.
  • the movement trajectory similar to the source movement trajectory of the other user may be acquired in advance, so that the path of each user passing through and the time of each road segment can be obtained by a similar method in step 1002, so that step 1003 is performed. You can find the above recommended users.
  • the recommended user described above may include at least one of the following:
  • a movement trajectory within the target time includes a third user of the source movement trajectory
  • a fourth user having a moving path in the target time and a portion of the same path as the source moving track, wherein the part of the same path is a continuous path;
  • a fifth user having a same moving path as the source moving track in the target time, wherein a starting point of the fifth user movement is the same as a starting point of the source moving track, and the portion The same path is a discontinuous path.
  • step 1003 can include:
  • determining whether the third user is present The user, if present, uses the third user as a recommended user;
  • the first user, the second user, the third user, and the fourth user do not exist, determine whether the fifth user exists, and if yes, use the fifth user as the recommended user.
  • the priority search of the first user, the second user, the third user, and the fourth user may be performed to implement preferentially recommending users with high priority to the user.
  • the method for data collection in the embodiment of the present invention is described above.
  • the following describes the method for data processing in the embodiment of the present invention.
  • the method 1100 for data processing in the embodiment of the present invention includes steps 1101-1104.
  • the motion information collection device acquires motion data of the user.
  • the motion information collecting device analyzes motion data of the user, and determines a motion preference of the user according to the motion data.
  • the motion information collecting device sends the user's sports preference information to a server.
  • the server determines other users corresponding to the sports preference according to the user's sports preference information.
  • a method 1200 for data processing in an embodiment of the present invention includes steps. 1201-1204.
  • the motion information collection device acquires motion data of the user.
  • the motion information collection analyzes motion data of the user, and determines a motion type of the user according to the motion data.
  • the motion information collection sends the motion type information of the user to a server.
  • the server divides the user into a group including other users corresponding to the motion type according to the motion type information of the user.
  • FIG. 12 of the present invention can be understood by referring to the description of the corresponding embodiments of FIG. 2 and FIG. 8 , and details are not described herein.
  • a method 1300 for data processing in an embodiment of the present invention includes steps 1301-1305.
  • the motion information collection device acquires motion data of the user.
  • the motion information collection device analyzes motion data of the user, and determines a source movement trajectory of the user according to the motion data, where the source movement trajectory includes location information of multiple locations moved by the user and The time information of the source movement track.
  • the motion information collection device sends the source movement track information of the user to a server.
  • the server searches for a user that moves in at least one of the multiple locations in a target time according to the source movement trajectory, and uses the user as a recommended user of the user terminal, the target time and the target time.
  • the time difference indicated by the time information is within a preset time threshold.
  • the motion information collection device receives user information of the recommended user returned by the server.
  • step 1302 can include:
  • a source movement trajectory including position information and time information of the start point, the plurality of positions, and the end point is generated.
  • step 1304 can include:
  • the server performs road segment matching on the plurality of locations included in the source movement track, obtains a plurality of road segments through which the source movement track passes, and calculates, according to time information of each position, the source movement track to pass through each of the road segments. order;
  • the server searches for a user who moves at least one of the plurality of road sections through which the source movement track passes during the target time, and uses the user as a recommended user.
  • the motion information collection device acquires the source movement track of the user movement, and then sends the source movement track to the server, and the server searches for at least one of the plurality of positions in the target time according to the source movement track.
  • the user is the recommended user, so that the motion information collecting device can receive the user information of the recommended user returned by the server. Thereby, it is possible to recommend to the user a user whose movement trajectory is similar.
  • the data collection method and the data processing method in the embodiment of the present invention are described above.
  • the motion information collection device, the server, and the motion information collection system in the embodiments of the present invention are separately described below.
  • the motion information collecting apparatus 1400 in the embodiment of the present invention includes:
  • the obtaining module 1401 is configured to acquire motion data of the user
  • An analysis module 1402 configured to analyze motion data of the user, and determine a motion preference of the user according to the motion data
  • the sending module 1403 is configured to send the user's sports preference information to the server, so that the server determines other users corresponding to the sports preference according to the user's sports preference information.
  • the motion information collection device 1500 in the embodiment of the present invention includes:
  • the obtaining module 1501 is configured to acquire motion data of the user
  • An analysis module 1502 configured to analyze motion data of the user, and determine a motion type of the user according to the motion data
  • the sending module 1503 is configured to send the motion type information of the user to the server, so that the server divides the user into a group including other users corresponding to the motion type according to the motion type information of the user.
  • the motion information collecting device analyzes the collected motion data of the user, and determines the motion type of the user according to the motion data, so as to send the motion type information to the server, so that the server according to the user
  • the motion type information divides the user into a group including other users corresponding to the motion type; thus, avoiding a series of cumbersome processes such as inputting a user's preference when logging in to the social account, and automatically acquiring the user's preference.
  • the user's preference analyzed by the motion information collection device according to the collected data can also conform to the user's real situation.
  • the motion information collecting device in this embodiment may be any device capable of collecting user motion information.
  • the motion information collection device may be a wearable device, such as a smart watch, a smart bracelet, a smart phone, etc., and is not limited herein.
  • the acquiring module 1501 is further configured to acquire a motion position and/or a motion time of the user.
  • the sending module 1503 is further configured to send the moving position and/or the moving time to the server, so that the server divides the user into the moving position and/or according to the moving position and/or the moving time. Or the group of other users corresponding to the exercise time.
  • the acquiring module 1501 specifically includes an acceleration sensor for detecting a motion speed of the user.
  • the analyzing module 1502 is specifically configured to determine that the user is in running when detecting that the motion speed of the user within the first preset duration is greater than the first preset value.
  • the acquiring module 1501 specifically includes a gyroscope for detecting a swing angle of the user.
  • the analyzing module 1502 is specifically configured to determine that the user is in a ball type motion when detecting that the user swings within a second preset time period by a second preset value.
  • the motion information collection device further includes:
  • the detecting module 1604 is configured to detect the number of times that the motion data of the user meets the preset condition within a preset time period
  • the analysis module 1502 is specifically configured to: when detecting that the number of times reaches a third preset value, the motion information collection device determines that the motion type of the user is a motion type corresponding to the preset condition.
  • FIG. 17 shows another motion information collection device according to an embodiment of the present invention.
  • the method includes: an acquisition module 1701, an analysis module 1702, a sending module 1703, and a receiving module 1704, where:
  • the obtaining module 1701 is configured to acquire motion data of the user.
  • An analysis module 1702 configured to analyze motion data of the user, and determine a source movement trajectory of the user movement according to the motion data, where the source movement trajectory includes multiple movements of the user Location information of the location and time information of the source movement trajectory.
  • the sending module 1703 is configured to send the source movement track to the server, so that the server determines the recommended user according to the source movement track.
  • the receiving module 1704 is configured to receive user information of the recommended user returned by the server, where the recommended user includes a user that moves in at least one of the multiple locations during a target time, the target time and the time The difference in time represented by the information is within a preset time threshold.
  • the obtaining module 1701 may include:
  • the first obtaining unit 1711 is configured to acquire location information and time information of the starting point when the user starts moving;
  • a second obtaining unit 1712 configured to acquire location information and time information of multiple locations during the user movement
  • a third obtaining unit 1713 configured to acquire location information and time information of the end point when the user moves ends;
  • the analysis module 1702 is configured to generate a source movement trajectory including position information and time information of the starting point, the plurality of positions, and the end point.
  • the analyzing module 1702 can include:
  • a thinning unit configured to determine, according to the location information and the time information of the multiple locations, whether the path moved by the user has a specific path, and if yes, to multiple locations in the specific path among the multiple locations Performing a thinning operation to obtain a plurality of thinning positions;
  • a generating unit configured to generate source moving trajectory including position information and time information of the starting point, the plurality of non-slimming positions, the plurality of thinning positions, and the ending point, wherein the plurality of non-dilution positions are the plurality of positions Not located in multiple locations in the particular path.
  • the specific path above may include at least one of the following:
  • the thinning operation is performed on a plurality of locations located in the specific path. This reduces the number of locations in the source's movement trajectory, which reduces the amount of computation and saves network traffic.
  • the above recommended users may include:
  • the plurality of road segments through which the source movement track passes are that the server performs road segment matching on the plurality of locations included in the source movement track, and obtains a plurality of road segments through which the source movement track passes, and the server further according to each of the positions
  • the time information calculates the order in which the source movement trajectory passes through each of the road segments.
  • the above recommended users may include at least one of the following:
  • a movement trajectory within the target time includes a third user of the source movement trajectory
  • a fourth user having a moving path in the target time and a portion of the same path as the source moving track, wherein the part of the same path is a continuous path;
  • a fifth user having a same moving path as the source moving track in the target time, wherein a starting point of the fifth user movement is the same as a starting point of the source moving track, and the portion The same path is a discontinuous path.
  • the above device may be applied to a user terminal.
  • the device may further add the recommended user as a user according to the foregoing user information.
  • the recommended user may be one or more users.
  • the source movement track of the user movement is acquired, and the source movement track is sent to the server, so that the server can search for the recommended user according to the source movement track; thereby receiving the user of the recommended user returned by the server.
  • Information, and the recommended user is included in The user moving in at least one of the plurality of positions during the target time, the difference between the target time and the time indicated by the time information is within a preset time threshold. Therefore, the embodiment can implement a user who recommends similar movement trajectories to the user.
  • the server 1900 includes:
  • the receiving module 1901 is configured to receive motion preference information of the user sent by the motion information collection device.
  • the processing module 1902 is configured to determine other users corresponding to the sports preferences according to the user's sports preference information.
  • the server 2000 includes:
  • the receiving module 2001 is configured to receive motion type information of the user sent by the motion information collecting device.
  • the processing module 2002 is configured to divide the user into a group including other users corresponding to the motion type according to the motion type information of the user.
  • FIG. 21 shows another server according to an embodiment of the present invention.
  • the method includes: a receiving module 2101, a processing module 2102, and a sending unit 2103, where:
  • the receiving module 2101 is configured to receive a source movement track of the user, where the source movement track includes position information of the plurality of positions moved by the user and time information of the source movement track.
  • the processing module 2102 is configured to search, according to the source movement trajectory, a user that moves in at least one of the multiple positions in a target time, and use the user as a recommended user, the target time and the time information The difference in time is within the preset time threshold.
  • the sending module 2103 is configured to send user information of the recommended user.
  • the source moving track may include:
  • the starting point of the source moving track, the position information of the plurality of positions and the ending point, and the source moving track of the time information, the target time and the time interval formed by the start point and the end point of the source moving track are within a preset time threshold.
  • the processing module 2102 may include:
  • the matching unit 2121 is configured to perform path segment matching on the plurality of locations included in the source movement track, obtain a plurality of road segments through which the source movement track passes, and calculate, according to time information of each position, the source movement track. The order of each of the sections;
  • the searching unit 2122 is configured to find a user who moves at least one of the plurality of road sections through which the source movement track passes during the target time, and uses the user as a recommended user.
  • the recommended user may include at least one of the following:
  • a movement trajectory within the target time includes a third user of the source movement trajectory
  • a fourth user having a moving path in the target time and a portion of the same path as the source moving track, wherein the part of the same path is a continuous path;
  • a fifth user having a same moving path as the source moving track in the target time, wherein a starting point of the fifth user movement is the same as a starting point of the source moving track, and the portion The same path is a discontinuous path.
  • the searching unit 2122 may include:
  • a first determining subunit 21221 configured to determine whether the first user exists
  • the first recommendation subunit 21222 is configured to: when the first determining subunit 21221 determines that the first user exists, use the first user as a recommended user;
  • a second determining sub-unit 21223 configured to: when the first determining sub-unit 21221 determines that there is no Determining, at the first user, whether the second user exists;
  • a second recommendation subunit 21224 configured to: when the second determining subunit 21223 determines that the second user exists, use the second user as a recommended user;
  • the third determining sub-unit 21225 is configured to determine, when the second determining sub-unit 21223 does not exist the second user, whether the third user exists;
  • a third recommendation subunit 21226 configured to: when the third determining subunit 21225 determines that the third user exists, use the third user as a recommended user;
  • a fourth determining sub-unit 21227 configured to: when the third determining sub-unit 21225 determines that the third user does not exist, determine whether the fourth user exists;
  • a fourth recommendation subunit 21228 configured to: when the fourth judging subunit 21227 determines that the fourth user exists, use the fourth user as a recommended user;
  • a fifth determining sub-unit 21229 configured to: when the fourth determining sub-unit 21227 determines that the fourth user does not exist, determine whether the fifth user exists;
  • the fifth recommendation sub-unit 212210 is configured to, when the fifth determining sub-unit 21229 determines that the fifth user exists, use the fifth user as the recommended user.
  • the priority search of the first user, the second user, the third user, and the fourth user may be performed to implement preferentially recommending users with high priority to the user.
  • the above device can be applied to a server.
  • the embodiment can implement a user who recommends similar movement trajectories to the user.
  • the motion information collecting device and the server in the embodiment of the present invention are described above.
  • the motion information collecting system in the embodiment of the present invention will be described below.
  • the motion information collecting system 2400 in the embodiment of the present invention includes:
  • the motion information collection device 2401 For descriptions of the motion information collection device 2401, reference may be made to the description of the corresponding embodiment or the optional embodiment in FIG. 14-18.
  • the description of the server 2402 may refer to the description of the corresponding embodiment in FIG. 19-23. Narration.
  • FIG. 25 shows a schematic diagram of an application environment of the method for data processing of the present application.
  • the motion information collecting device 2510 and the server 2520 are located in a wireless or wired network 2530 through which the motion information collecting device 2510 and the server 2520 communicate with each other.
  • FIG. 26 shows a schematic diagram of an application environment of the method for data collection of the present application.
  • the motion information collecting device 2600 includes a memory 2601, a memory controller 2603, one or more (only one shown in the figure) processor 2602, a peripheral interface 2604, a positioning module 2605, an acceleration sensor 2606, and a gyroscope. Instrument 2607 and touch screen 2608. These components communicate with one another via one or more communication bus/signal lines.
  • FIG. 26 is merely illustrative, and the motion information collecting device 2600 may further include more or less components than those shown in FIG. 26 or have a different configuration from that shown in FIG.
  • the components shown in Figure 26 can be implemented in hardware, software, or a combination thereof.
  • the memory 2601 can be used to store a software program and a module, such as a method and a program instruction/module corresponding to the data collection in the motion information collection device in the embodiment of the present invention.
  • the processor 2602 executes various functional applications and data processing by executing software programs and modules stored in the memory 2601, that is, a method of implementing data collection in the above-described motion information collecting device.
  • Memory 2601 can include high speed random access memory, and can also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid state memory.
  • memory 2601 can further include memory remotely located relative to processor 2602, which can be coupled to motion information collection device 2600 via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof. Access to the memory 2601 by the processor 2602 and other possible components can be performed under the control of the memory controller 2603.
  • Peripheral interface 2604 couples various input/input devices to the CPU and memory 2601.
  • the processor 2602 runs various software, instructions within the memory 2601 to perform various functions of the motion information collection device 2600.
  • peripheral interface 2604, processor 2602, and memory controller 2601 can be implemented in a single chip. In other instances, they can be implemented by separate chips.
  • the positioning module 2605 is configured to acquire the current location of the motion information collecting device 2600.
  • Examples of positioning module 2605 include, but are not limited to, Global Positioning System (GPS), wireless local area network or mobile communication network based positioning technology.
  • the acceleration sensor 2606 is an instrument for measuring acceleration. When the athletic information collection device 2600 is worn on the user's body, the acceleration sensor 2606 can be used to measure the speed of the user.
  • the gyroscope 2607 is an instrument for measuring angular motion. When the athletic information collecting device 2600 is worn on the user's body, the gyroscope 2607 can be used to measure the tilt angle of the user.
  • the touch screen 2608 simultaneously provides an output and input interface between the motion information collection device 2600 and the user. Specifically, the touch screen 2608 displays video output to the user, and these videos The output may include text, graphics, video, and any combination thereof. Some output results correspond to some user interface objects.
  • the touch screen 2608 also receives user input, such as user gestures such as clicks, swipes, etc., so that the user interface objects respond to the user's input.
  • the technique of detecting user input can be based on resistive, capacitive or any other possible touch detection technique.
  • Specific examples of the touch screen 2608 display unit include, but are not limited to, a liquid crystal display or a light emitting polymer display.
  • the processor 2602 included in the motion information collecting device 2600 can execute program instructions stored in the memory 2601 to perform the following functions:
  • the user's exercise preference information is transmitted to the server, so that the server determines other users corresponding to the sports preferences based on the user's exercise preference information.
  • analyzing the motion data of the user, and determining, according to the motion data, the user's sports preferences include:
  • Sending the user's sports preference information to the server, so that the server determines, according to the user's sports preference information, other users corresponding to the sports preferences include:
  • the motion type information of the user is transmitted to a server, so that the server divides the user into a group including other users corresponding to the motion type according to the motion type information of the user.
  • analyzing the motion data of the user, and determining, according to the motion data, the user's sports preferences include:
  • the source movement trajectory including position information of the plurality of positions moved by the user and time information of the source movement trajectory;
  • the function further includes:
  • the disclosed system, apparatus, and method may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in various embodiments of the present invention may be integrated into one processing order In the meta element, each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • the technical solution of the present invention which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium.
  • a number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

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Abstract

一种数据收集方法、设备和系统，用于自动获取用户的运动爱好。数据收集方法包括：运动信息采集设备获取用户的运动数据（101）；分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好（102）；将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户（103）。能够自动获取用户的运动喜好。

Description

数据收集方法、设备和系统
本申请要求2015年4月16日提交中国专利局、申请号为2015101806999、发明名称为“数据收集/处理的方法、运动信息采集设备和系统”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本发明涉及通信技术领域，尤其涉及一种数据收集方法、设备和系统。
背景技术
随着社交网络技术的发展，用户可以在社交网络上找到与自己有相同兴趣爱好的朋友。目前的社交软件中，用户登录社交账号后要手动填写自己的兴趣爱好，以便系统根据用户输入的兴趣爱好来将用户分到与该兴趣爱好相对应的组中，使得用户可以在该组内找到具有相同兴趣爱好的朋友。然而，社交软件需要依赖用户手动输入其兴趣爱好，而且输入步骤繁琐，用户可能直接跳过该输入步骤。
此外，在日常生活中用户经常是需要在不同的地点进行移动，例如：从家里到公司，从家里到购物广场等。在上述移动场景中用户可能更想认识一些移动轨迹相似的用户，例如：可以通过这些用户了解路况、可以与这些用户结伴而行，可以与这些用户分享该移动轨迹上的事物等。然而，现有的向用户推荐用户的技术中却只能向用户推荐起点和终点相近的用户，而无法向用户推荐移动轨迹相似的用户。
发明内容
本发明实施例提供了一种数据收集方法、设备和系统，能够自动获取用户的喜好。
本发明实施例提供一种数据收集的方法，包括：
运动信息采集设备获取用户的运动数据；
分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好；
将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户。
其中，分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好包括：分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动类型；
将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：将所述用户的运动类型信息发送至服务器，以便所述服务器根据所述用户的运动类型信息将所述用户分到包括与所述运动类型对应的其他用户的组中。
其中，所述方法还包括：所述运动信息采集设备获取所述用户的运动位置和/或运动时间；所述运动信息采集设备还将所述运动位置和/或运动时间发送至服务器，以便所述服务器根据所述运动位置和/或运动时间将所述用户分到包括与所述运动位置和/或运动时间对应的其他用户的组中。
其中，所述运动信息采集设备内设置有加速度传感器；
所述运动信息采集设备获取用户的运动数据，包括：所述加速度传感器检测用户的运动速度；
所述运动信息采集设备分析所述用户的运动数据并根据所述运动数 据确定所述用户的运动类型，包括：当检测到所述用户在第一预置时长内的运动速度大于第一预置数值时，所述运动信息采集设备确定所述用户的运动类型为跑步。
其中，所述运动信息采集设备内设置有陀螺仪；
所述运动信息采集设备获取用户的运动数据，包括：所述陀螺仪检测用户的摆动角度；
所述运动信息采集设备分析所述用户的运动数据并根据所述运动数据确定所述用户的运动类型，包括：当检测到所述用户在第二预置时长内摆动角度大于第二预置数值时，所述运动信息采集设备确定所述用户的运动类型为球类运动。
其中，所述运动信息采集设备分析所述用户的运动数据并根据所述运动数据确定所述用户的运动类型，包括：检测所述用户的运动数据在预置时间段内符合预置条件的次数；当检测到所述次数达到第三预置数值时，所述运动信息采集设备确定所述用户的运动类型为与所述预置条件相对应的运动类型。
其中，分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好包括：分析所述用户的运动数据，并根据所述运动数据确定所述用户的源移动轨迹，所述源移动轨迹包括所述用户移动的多个位置的位置信息以及所述源移动轨迹的时间信息；
将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：将所述用户的源移动轨迹信息发送至服务器，以便所述服务器根据所述用户的源移动轨迹信息确定推荐用户，所述推荐用户包括在目标时间内在所述多个位置中至少一个位置移动的用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内；
所述方法还包括：接收所述服务器返回的所述推荐用户的用户信息。
其中，所述确定所述用户的源移动轨迹，包括：当所述用户开始移动时，获取起点的位置信息和时间信息；在所述用户移动过程中，获取多个位置的位置信息和时间信息；当所述用户移动结束时，获取终点的位置信息和时间信息；生成包括所述起点、多个位置和终点的位置信息和时间信息的源移动轨迹。
其中，所述生成包括所述起点、多个位置和终点的位置信息和时间信息的源移动轨迹，包括：根据所述多个位置的位置信息和时间信息判断所述用户移动的路径是否存在特定路径，若是，则对所述多个位置中位于所述特定路径中的多个位置进行抽稀操作得到多个抽稀位置；生成包括所述起点、多个非抽稀位置、多个抽稀位置和终点的位置信息和时间信息的源移动轨迹，所述多个非抽稀位置为所述多个位置中不位于所述特定路径中的多个位置。
其中，所述特定路径包括如下至少一项：堵车的路径和保持直行的路径。
其中，所述推荐用户包括：在目标时间内在所述源移动轨迹经过的多个路段中至少一个路段移动的用户，所述目标时间与所述源移动轨迹的起点和终点构成的时间区间相差在预设时间阈值内，所述源移动轨迹经过的多个路段是所述服务器对所述源移动轨迹包括的多个位置进行路段匹配，得到所述源移动轨迹经过的多个路段，且所述服务器还根据各所述位置的时间信息计算出所述源移动轨迹经过各所述路段的顺序。
其中，所述推荐用户包括如下至少一项：在所述目标时间内的移动轨迹与所述源移动轨迹重合的第一用户；在所述目标时间内的移动轨迹属于所述源移动轨迹的一部分的第二用户；在所述目标时间内的移动轨迹包含所述源移动轨迹的第三用户；在所述目标时间内的移动轨迹与所述源移 动轨迹存在部分相同路径的第四用户，其中，所述部分相同路径为连续的路径；在所述目标时间内的移动轨迹与所述源移动轨迹存在部分相同路径的第五用户，其中，所述第五用户移动的起始点与所述源移动轨迹的起始点相同，且所述部分相同路径为不连续的路径。
本发明实施例还提供了一种数据收集的方法，包括：
接收运动信息采集设备发送的用户的运动喜好信息；
根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户。
其中，接收运动信息采集设备发送的用户的运动喜好信息包括：接收运动信息采集设备发送的所述用户的运动类型信息；
根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：根据所述用户的运动类型信息将所述用户分到包括与所述运动类型对应的其他用户的组中。
其中，所述方法还包括：接收所述用户的运动位置和/或运动时间；根据所述运动位置和/或运动时间将所述用户分到包括与所述运动位置和/或运动时间对应的其他用户的组中。
其中，接收运动信息采集设备发送的用户的运动喜好信息包括：接收运动信息采集设备发送的源移动轨迹，所述源移动轨迹包括所述用户移动的多个位置的位置信息以及所述源移动轨迹的时间信息；
根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：根据所述源移动轨迹查找在目标时间内在所述多个位置中至少一个位置移动的用户，并将所述用户作为推荐用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内；
所述方法还包括：发送所述推荐用户的用户信息。
其中，所述源移动轨迹包括：所述源移动轨迹的起点、多个位置和 终点的位置信息和时间信息，所述目标时间与所述源移动轨迹的起点和终点构成的时间区间相差在预设时间阈值内。
其中，所述根据所述源移动轨迹查找在目标时间内在所述多个位置中至少一个位置移动的用户，并将所述用户作为推荐用户，包括：对所述源移动轨迹包括的多个位置进行路段匹配，得到所述源移动轨迹经过的多个路段，并根据各所述位置的时间信息计算出所述源移动轨迹经过各所述路段的顺序；查找在所述目标时间内在所述源移动轨迹经过的多个路段中至少一个路段移动的用户，并将所述用户作为推荐用户。
其中，所述推荐用户包括如下至少一项：在所述目标时间内的移动轨迹与所述源移动轨迹重合的第一用户；在所述目标时间内的移动轨迹属于所述源移动轨迹的一部分的第二用户；在所述目标时间内的移动轨迹包含所述源移动轨迹的第三用户；在所述目标时间内的移动轨迹与所述源移动轨迹存在部分相同路径的第四用户，其中，所述部分相同路径为连续的路径；在所述目标时间内的移动轨迹与所述源移动轨迹存在部分相同路径的第五用户，其中，所述第五用户移动的起始点与所述源移动轨迹的起始点相同，且所述部分相同路径为不连续的路径。
其中，所述查找在所述目标时间内在所述源移动轨迹经过的多个路段中至少一个路段移动的用户，并将所述用户作为推荐用户，包括：判断是否存在所述第一用户，若存在，则将所述第一用户作为推荐用户；若不存在所述第一用户，判断是否存在所述第二用户，若存在，则将所述第二用户作为推荐用户；若不存在所述第一用户和所述第二用户，判断是否存在所述第三用户，若存在，则将所述第三用户作为推荐用户；若不存在所述第一用户、所述第二用户和所述第三用户，判断是否存在所述第四用户，若存在，则将所述第四用户作为推荐用户；若不存在所述第一用户、所述第二用户、所述第三用户和所述第四用户，判断是否存在所述第五用户， 若存在，则将所述第五用户作为推荐用户。
本发明实施例还提供了一种运动信息采集设备，包括：
获取模块，用于获取用户的运动数据；
分析模块，用于分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好；
发送模块，用于将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户。
其中，所述分析模块分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好包括：所述分析模块分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动类型；
所述发送模块将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：所述发送模块将所述用户的运动类型信息发送至服务器，以便所述服务器根据所述用户的运动类型信息将所述用户分到包括与所述运动类型对应的其他用户的组中。
其中，所述获取模块还用于获取所述用户的运动位置和/或运动时间；
所述发送模块还用于将所述运动位置和/或运动时间发送至服务器，以便所述服务器根据所述运动位置和/或运动时间将所述用户分到包括与所述运动位置和/或运动时间对应的其他用户的组中。
其中，所述运动信息采集设备还包括有加速度传感器；
所述获取模块获取用户的运动数据，包括：所述加速度传感器检测用户的运动速度；
所述分析模块分析所述用户的运动数据并根据所述运动数据确定所述用户的运动类型，包括：当检测到所述用户在第一预置时长内的运动速 度大于第一预置数值时，所述分析模块确定所述用户的运动类型为跑步。
其中，所述运动信息采集设备内设置有陀螺仪；
所述获取模块获取用户的运动数据，包括：所述陀螺仪检测用户的摆动角度；
所述分析模块分析所述用户的运动数据并根据所述运动数据确定所述用户的运动类型，包括：当检测到所述用户在第二预置时长内摆动角度大于第二预置数值时，所述分析模块确定所述用户的运动类型为球类运动。
其中，所述分析模块分析所述用户的运动数据并根据所述运动数据确定所述用户的运动类型，包括：检测所述用户的运动数据在预置时间段内符合预置条件的次数；当检测到所述次数达到第三预置数值时，所述分析模块确定所述用户的运动类型为与所述预置条件相对应的运动类型。
其中，所述分析模块分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好包括：所述分析模块分析所述用户的运动数据，并根据所述运动数据确定所述用户的源移动轨迹，所述源移动轨迹包括所述用户移动的多个位置的位置信息以及所述源移动轨迹的时间信息；
所述发送模块将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：所述发送模块将所述用户的源移动轨迹信息发送至服务器，以便所述服务器根据所述用户的源移动轨迹信息确定推荐用户，所述推荐用户包括在目标时间内在所述多个位置中至少一个位置移动的用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内；
所述运动信息采集设备还包括：接收单元，用于接收所述服务器返回的所述推荐用户的用户信息。
其中，所述获取模块，包括：
第一获取单元，用于当所述用户开始移动时，获取起点的位置信息 和时间信息；
第二获取单元，用于在所述用户移动过程中，获取多个位置的位置信息和时间信息；
第三获取单元，用于当用户移动结束时，获取终点的位置信息和时间信息；
所述分析模块，用于生成包括所述起点、多个位置和终点的位置信息和时间信息的源移动轨迹。
其中，所述分析模块包括：
抽稀单元，用于根据所述多个位置的位置信息和时间信息判断所述用户移动的路径是否存在特定路径，若是，则对所述多个位置中位于所述特定路径中的多个位置进行抽稀操作得到多个抽稀位置；
生成单元，用于生成包括所述起点、多个非抽稀位置、多个抽稀位置和终点的位置信息和时间信息的源移动轨迹，所述多个非抽稀位置为所述多个位置中不位于所述特定路径中的多个位置。
其中，所述推荐用户包括：在目标时间内在所述源移动轨迹经过的多个路段中至少一个路段移动的用户，所述目标时间与所述源移动轨迹的起点和终点构成的时间区间相差在预设时间阈值内，所述源移动轨迹经过的多个路段是所述服务器对所述源移动轨迹包括的多个位置进行路段匹配，得到所述源移动轨迹经过的多个路段，且所述服务器还根据各所述位置的时间信息计算出所述源移动轨迹经过各所述路段的顺序。
本发明实施例还提供了一种服务器，包括：
接收模块，用于接收运动信息采集设备发送的用户的运动喜好信息，
处理模块，用于根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户。
其中，所述接收模块接收运动信息采集设备发送的用户的运动喜好 信息包括：所述接收模块接收运动信息采集设备发送的所述用户的运动类型信息；
所述处理模块根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：所述处理模块根据所述用户的运动类型信息将所述用户分到包括与所述运动类型对应的其他用户的组中。
其中，所述接收模块还用于接收所述用户的运动位置和/或运动时间；
所述处理模块还用于根据所述运动位置和/或运动时间将所述用户分到包括与所述运动位置和/或运动时间对应的其他用户的组中。
其中，所述接收模块接收运动信息采集设备发送的用户的运动喜好信息包括：所述接收模块接收运动信息采集设备发送的所述用户的源移动轨迹，所述源移动轨迹包括所述用户移动的多个位置的位置信息以及所述源移动轨迹的时间信息；
所述处理模块根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：所述处理模块根据所述源移动轨迹查找在目标时间内在所述多个位置中至少一个位置移动的用户，并将所述用户作为推荐用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内；
所述服务器还包括：发送模块，用于发送所述推荐用户的用户信息。
其中，所述源移动轨迹包括：所述源移动轨迹的起点、多个位置和终点的位置信息和时间信息，所述目标时间与所述源移动轨迹的起点和终点构成的时间区间相差在预设时间阈值内。
其中，所述处理模块包括：
匹配单元，用于对所述源移动轨迹包括的多个位置进行路段匹配，得到所述源移动轨迹经过的多个路段，并根据各所述位置的时间信息计算出所述源移动轨迹经过各所述路段的顺序；
查找单元，用于查找在所述目标时间内在所述源移动轨迹经过的多 个路段中至少一个路段移动的用户，并将所述用户作为推荐用户。
本发明实施例还提供了一种运动信息采集系统，包括如上所述的运动信息采集设备和如上所述的服务器。
本发明中，运动信息采集设备通过对收集到的用户的运动数据分析，并根据所述运动数据确定所述用户的运动喜好，以将该运动喜好信息发送至服务器，以便服务器根据该用户的运动喜好确定与所述运动喜好对应的用户；这样，能够自动获取到用户的喜好，而且运动信息采集设备根据收集到的数据所分析到的用户的喜好也能够贴合用户的真实情况。
附图说明
图1为本发明实施例的数据收集的方法的流程图；
图2为本发明实施例的数据收集的方法的流程图；
图3为本发明实施例的数据收集的方法的流程图；
图4为本发明实施例的数据收集的方法的流程图；
图5为本发明实施例的数据收集的方法的流程图；
图6为本发明实施例的多种可选的移动轨迹的示意图；
图7为本发明实施例的数据收集的方法的流程图；
图8为本发明实施例的数据收集的方法的流程图；
图9为本发明实施例的数据收集的方法的流程图；
图10为本发明实施例的数据收集的方法的流程图；
图11为本发明实施例的数据处理的方法的流程图；
图12为本发明实施例的数据处理的方法的流程图；
图13为本发明实施例的数据处理的方法的流程图；
图14为本发明实施例的运动信息采集设备的结构示意图；
图15为本发明实施例的运动信息采集设备的结构示意图；
图16为本发明实施例的运动信息采集设备的结构示意图；
图17为本发明实施例的运动信息采集设备的结构示意图；
图18为本发明实施例的运动信息采集设备的结构示意图；
图19为本发明实施例的服务器的结构示意图；
图20为本发明实施例的服务器的结构示意图；
图21为本发明实施例的服务器的结构示意图；
图22为本发明实施例的服务器的结构示意图；
图23为本发明实施例的服务器中的查找单元的结构示意图；
图24为本发明实施例的运动信息采集系统的结构示意图；
图25为本发明实施例的数据处理的方法的应用环境示意图；以及
图26为本发明实施例的数据收集的方法的应用环境示意图。
具体实施方式
本发明实施例提供一种数据收集/处理的方法、运动信息采集设备、服务器和系统，用于自动获取用户的运动喜好。
为了使本技术领域的人员更好地理解本发明方案，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分的实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都应当属于本发明保护的范围。
本发明的说明书和权利要求书及上述附图中的术语“包括”和“具有”以及它们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、系统、产品或设备固有的其它步骤或单元。
请参阅图1，其示出了本发明实施例中数据收集的方法。该方法可应用于运动信息采集设备。该方法包括步骤101-102。
101、运动信息采集设备获取用户的运动数据。
102、分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好。
103、将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户。
第一实施例
请参阅图2，其示出了本发明实施例中数据收集的方法。该方法可应用于运动信息采集设备。该运动信息采集设备可以是能够采集用户运动信息的任意设备。在本实施例中，运动信息采集设备可以是可穿戴设备，例如智能手表、智能手环、智能手机等等，在此不做限制。
如图2所述，本发明实施例中的数据采集的方法包括步骤201-203。
201、运动信息采集设备获取用户的运动数据。
本实施例中，运动信息采集设备是可穿戴设备。用户可将该运动信息采集设备穿戴在身上，使得该运动信息采集设备随着用户的运动同时运动，这样，运动信息采集设备可通过检测自身的运动数据来获取用户的运动数据。
例如，运动信息采集设备内设置有加速度传感器，可以检测到自身的速度。用户在运动时穿戴有该运动信息采集设备，这样运动信息采集设备的运动速度和用户的运动速度相同。运动信息采集设备通过加速度传感器检测自身的运动数据来获取用户的运动数据。
或者，运动信息采集设备内设置有陀螺仪，可以检测到自身的倾斜角度的变化。用户在运动时可以将运动信息采集设备穿戴在手上或者其他部位上，这样运动信息采集设备的倾斜角度和用户的手或者其他部位的倾 斜角度相同。运动信息采集设备通过陀螺仪检测自身的倾斜角度的变化来获取用户的手或者其他部位的倾斜角度的变化。
或者，该运动信息采集设备可以通过获取用户的人体数据来判断用户是否处于运动中，进而获取用户的运动数据。当然，运动信息采集设备还可以通过其他方式来获取用户的运动数据，在此不作限制。
202、分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动类型。
运动信息采集设备可以对获取到的运动数据进行分析，以获取到用户的运动类型。
在本实施例中，所述用户的运动喜好指所述用户喜欢的运动类型。由于不同类型的运动的动作不同，当检测到用户的运动数据符合一定条件时，即可确认该用户处于某种类型的运动中，进而将所述用户的运动类型分类到该运动类型中。
具体举例来说，运动信息采集设备内设置有加速度传感器，当加速度传感器检测到运动速度在第一预置时长(例如30分钟)内的运动速度大于第一预置数值时，所述运动信息采集设备确定所述用户处于跑步中，进而将所述用户的运动类型分类到跑步中。
或者，运动信息采集设备内设置有陀螺仪，用户将运动信息采集设备戴在手上，当陀螺仪检测到摆动角度在第二预置时长内的摆动角度大于第二预置数值时，所述运动信息采集设备确定所述用户处于球类运动中，进而将所述用户的运动喜好分类到球类运动中。当然，陀螺仪还可以根据在第二预置时长内摆动角度变化的不同来区分用户具体处于哪种球类运动中，进而将用户的运动类型分类到该种球类运动中。
203、将所述用户的运动类型信息发送至服务器，以便所述服务器根据所述用户的运动类型信息将所述用户分到包括与所述运动类型对应的其 他用户的组中。
本实施例中，运动信息采集设备内登录了用户的社交账号，并通过该用户的社交账号将用户的运动喜好信息发送至服务器。在一个实施例中，所述用户的运动喜好指所述用户喜欢的运动类型。服务器内记录着多种不同的运动类型，其中不同的运动类型对应着不同的组，每个组内包括运动喜好为该组对应的运动类型的用户。这样，用户可以在所在的组内找到其他有着与自己相同喜好的用户。
本实施例中，运动信息采集设备通过对收集到的用户的运动数据分析，并根据所述运动数据确定所述用户的运动类型，以将该运动类型信息发送至服务器，以便服务器根据该用户的运动类型信息将所述用户分到所述运动类型对应的组中；这样，避免了用户在登录社交账号时输入自身的喜好等一系列繁琐过程，能够自动获取到用户的喜好，而且运动信息采集设备根据收集到的数据所分析到的用户的喜好也能够贴合用户的真实情况。
本实施例中，在分析用户的运动数据时，所述运动信息采集设备确定所述用户的运动类型。实际情况中，用户的运动类型一般会多次发生，偶然一两次发生的不一定是用户的运动喜好。运动信息采集设备确可通过追加判断条件来确定用户喜好的运动类型。优选的，在本实施例的步骤102中，运动信息采集设备分析所述用户的运动数据并根据所述运动数据确定所述用户的运动类型还包括：测所述用户的运动数据在预置时间段内符合预置条件的次数；当检测到所述次数达到第三预置数值时，所述运动信息采集设备确定所述用户的运动类型为与所述预置条件对应的运动类型。
当运动信息采集设备检测到用户的运动数据符合预置条件时，可确定用户正在进行某种运动类型的运动，且运动信息采集设备对用户进行该运动类型的运动的次数进行累加。累加后，运动信息采集设备检测用户在 预置时间段(例如当月内)内次数累加总和。当检测到用户在预置时间段内进行第一运动类型的运动的次数达到第三预置数值时，即可确认用户的喜好为第一运动类型。这样能够对用户的运动喜好进行分类时能够更加贴合用户的真实喜好。
上面实施例中，运动信息采集设备将用户的类型信息发送到服务器，以便服务器根据用户的类型信息这一个维度来对用户进行分组。实际运用中，为方便服务器在分组时更加精细，可增加服务器的区分维度，也即增加运动信息采集设备所检测的参数。请参阅图3，本发明的另一个实施例中数据收集的方法包括步骤301-304。
301、运动信息采集设备获取用户的运动数据。
详细说明请参见图2所示实施例中步骤201的说明。
302、分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动类型。
详细说明请参见图2所示实施例中步骤202的说明。
303、所述运动信息采集设备还获取所述用户的运动位置和/或运动时间。
运动信息采集设备可获取用户的运动数据对应的当前位置和/或当前时间，那么该当前位置为用户的运动喜好的位置，该当前时间为用户的运动喜好的时间。
具体的，运动信息采集设备内可以设置有全球定位系统，通过该全球定位系统来获取运动信息采集设备的当前位置。
304、所述运动信息采集设备将所述用户的运动类型信息，以及所述运动位置和/或运动时间发送至服务器，以便所述服务器根据所述运动类型信息、所述地理位置和/或运动时间将所述用户分到包括与所述运动类型和所述地理位置和/或运动时间对应的其他用户的组中。
具体举例来说，所建立的组中，其中一个组是晨跑小组。那么如果运动信息采集设备检测到用户在早晨6点到7点之间进行晨跑，便可以将该用户分到该晨跑组中。
或者，所建立的组中，其中一个组是在某个体育馆的羽毛球小组。那么如果运动信息采集设备检测到用户在该体育馆内打羽毛球，便可以将该用户分到该体育馆的羽毛球组中。
当然，上述仅为举例描述，并不作限制。
本实施例中，运动信息采集设备通过对用户的运动类型信息以及进行喜好活动的时间和/或位置来检测，能够方便服务器在对用户进行归组别时更加精细，有助于用户在该组内找到具有更多共同喜好的其他用户。
第二实施例
请参阅图4，其示出了本发明实施例中数据收集的方法。所述方法包括步骤401-403。
401、运动信息采集设备获取用户的运动数据。
402、运动信息采集设备分析所述用户的运动数据，并根据所述运动数据确定所述用户的源移动轨迹，所述源移动轨迹包括所述用户移动的多个位置的位置信息以及所述源移动轨迹的时间信息。
上述运动信息采集设备可以是执行所述方法的设备，例如：用户终端。本发明实施例中，用户终端可以是任何具备网络功能和定位功能的智能终端，例如：车载设备、平板电脑、手机、电子阅读器、遥控器、笔记本电脑、可穿戴设备等具有网络功能和定位功能的智能设备。另外，本发明实施例中的移动轨迹包括但不限于用户携带用户终端行走的移动轨迹，用户终端在车上的行驶轨迹。上述多个位置可以是上述源移动轨迹中用户在等时间间隔所处的位置，或者上述源移动轨迹中用户在等间距所处的位置，或者上述源移动轨迹中用户在任意多个时间点所处的位置等等。上述 位置信息可以是指地理位置信息，例如：经纬度和朝向信息等，再进一步还可以包括定位精度信息。这样通过上述位置信息就可以清楚地知道用户所处的位置。上述源移动轨迹的时间信息可以是包括源移动轨迹中用户在上述多个位置的时间信息，即各个位置的时间信息，这样通过该时间信息就可以知道用户在不同位置的时间。或者，上述源移动轨迹的时间信息还可以包括源移动轨迹的时间区间信息，即用户移动上述源移动轨迹的时间区间。
403、向服务器发送所述源移动轨迹，以使所述服务器根据所述源移动轨迹确定推荐用户。
当服务器接收到上述源移动轨迹时，就可以查找在目标时间内在所述多个位置中至少一个位置移动的用户，并将该用户作为推荐用户。
404、接收所述服务器返回的所述推荐用户的用户信息，所述推荐用户包括在目标时间内在所述多个位置中至少一个位置移动的用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内。
上述推荐用户的用户信息可以包括该推荐用户的用户名、用户ID、用户头像、用户邮箱等等可以识别现该用户的信息。
通过上述步骤就可以推荐在目标时间内源移动轨迹中至少一个位置移动的用户，而目标时间与所述时间信息表示的时间之差在预设时间阈值内，即推荐用户为在相同或者相近的时间与所述用户在至少一个相同位置移动的用户。而在相同或者相近的时间内在相同的位置移动的用户往往存在相同的爱好或者处理相同的事情，或者结识这些用户可以达到某个目的，例如：丰富生活、丰富情感、发展业务等。可见，上述推荐用户的方法是在日常生活中是十分有意义的。
可选的，上述方法可以应用于用户终端。
可选的，所述方法还可以根据上述用户信息将上述推荐用户加为用 户。另外，本实施例中，上述推荐用户可以是一个或者多个用户。
上述技术方案中，获取用户移动的源移动轨迹，再向服务器发送所述源移动轨迹，这样服务器就可以根据所述源移动轨迹确定推荐用户；从而接收所述服务器返回的所述推荐用户的用户信息，而该推荐用户包括在目标时间内在所述多个位置中至少一个位置移动的用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内。从而本实施例可以实现向用户推荐移动轨迹相似的用户。
请参阅图5，图5是本发明实施例提供的另一种数据收集的方法的流程示意图，如图5所示，包括以下步骤：
501、当所述用户开始移动时，获取起点的位置信息和时间信息。
可选的，步骤501还可以是接收用户输入的操作指令，根据该操作指令的设置起点，当用户从该起点移动时，获取该起点的位置信息和时间信息，这样可以实现移动轨迹的起点可以由用户设置。
502、在所述用户移动过程中，获取多个位置的位置信息和时间信息。
在用户移动过程中，可以是等时间间隔地获取多个位置的位置信息和时间信息，例如：每隔1秒或者20秒等获取当前位置的位置信息和时间信息。或者在用户移动过程中，可以是等距离间隔地获取多个位置的位置信息和时间信息，例如：每隔10米或者50米等获取当前位置的位置信息和时间信息。或者在用户移动过程中，可以是随机地获取多个位置的位置信息和时间信息。
503、当用户移动结束时，获取终点的位置信息和时间信息。
可选的，用户移动结束可以是指用户移动到预先指定的位置，或者可以是用户在特定时间内未移动等。
504、生成包括所述起点、多个位置和终点的位置信息和时间信息的源移动轨迹。
这样通过上述步骤就可以得到用户的移动轨迹。
可选的，步骤504可以包括：
根据所述多个位置的位置信息和时间信息判断所述用户移动的路径是否存在特定路径，若是，则对所述多个位置中位于所述特定路径中的多个位置进行抽稀操作得到多个抽稀位置；
生成包括所述起点、多个非抽稀位置、多个抽稀位置和终点的位置信息和时间信息的源移动轨迹，所述多个非抽稀位置为所述多个位置中不位于所述特定路径中的多个位置。
由于知道上述多个位置的位置信息和时间信息那么就可以判断出源移动轨迹中任一路径的情况。例如：某一个路径中的多个位置的位置信息相近，且这多个位置的时间信息也相近，那么就可以判断出用户在该路径的移动速度缓慢，从而判断出该路径堵车，这种情况就可以通过少量的位置得到该路径中的移动轨迹，该情况下就可以对这一特定路径中的多个位置进行抽稀操作得到多个抽稀位置，该抽稀操作就可以理解为从多个位置中抽选其中的一部分位置。具体可以是按照特定位置间隔进行抽稀，或者可以是按照特定位置数量进行制衡，如，从50个位置中抽选中其中的相同间隔的10个或者5个位置，又如从50个位置中抽选其中的任意10个或者5个位置。又例如：某一个路径中的多个位置的位置信息中的经度或者纬度信息相同或者相近时，就可以得到该路径为直行没有转弯，从而该情况下也可以通过少量的位置得到该路径中的移动轨迹，该情况下也可以对这一特定路径中的多个位置进行抽稀操作得到多个抽稀位置。即上述特定路径可以包括如下至少一项：
堵车的路径和保持直行的路径。
该实施方式中，由于对位于所述特定路径中的多个位置进行抽稀操作，这样就可以减少源移动轨迹中位置的数量，从而减少计算量，以及节 约网络流量。
505、向服务器发送所述源移动轨迹，以使所述服务器根据所述源移动轨迹确定推荐用户。
可选的，步骤505还可以是对源移动轨迹进行压缩打包，再将打包后的数据包发送至服务器，从而节约网络流量。
506、接收所述服务器返回的所述推荐用户的用户信息，所述推荐用户包括在目标时间内在所述多个位置中至少一个位置移动的用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内。
可选的，上述推荐用户可以包括：
在目标时间内在所述源移动轨迹经过的多个路段中至少一个路段移动的用户，所述目标时间与所述源移动轨迹的起点和终点构成的时间区间相差在预设时间阈值内，所述源移动轨迹经过的多个路段是所述服务器对所述源移动轨迹包括的多个位置进行路段匹配，得到所述源移动轨迹经过的多个路段，且所述服务器还根据各所述位置的时间信息计算出所述源移动轨迹经过各所述路段的顺序。
具体可以是服务器接收到上述源移动轨迹后，就可以对所述源移动轨迹包括的多个位置进行路段匹配，得到所述源移动轨迹经过的多个路段，且所述服务器还根据各所述位置的时间信息计算出所述源移动轨迹经过各所述路段的顺序。服务器再从预先获取的其他用户的移动轨迹中查找在目标时间内在所述源移动轨迹经过的多个路段中至少一个路段移动的用户。例如：查找的用户(即上述推荐用户)可以是如下描述的第一用户、第二用户、第三用户、第四用户和第五用户中的至少一项，其中，第一用户、第二用户、第三用户、第四用户和第五用户可以如下描述：
在所述目标时间内的移动轨迹与所述源移动轨迹重合的第一用户；
在所述目标时间内的移动轨迹属于所述源移动轨迹的一部分的第二 用户；
在所述目标时间内的移动轨迹包含所述源移动轨迹的第三用户；
在所述目标时间内的移动轨迹与所述源移动轨迹存在部分相同路径的第四用户，其中，所述部分相同路径为连续的路径；
在所述目标时间内的移动轨迹与所述源移动轨迹存在部分相同路径的第五用户，其中，所述第五用户移动的起始点与所述源移动轨迹的起始点相同，且所述部分相同路径为不连续的路径。
可选的，上述第一用户还可以是在所述目标时间内按第一移动轨迹移动的第一用户，所述第一移动轨迹的起点和终点分别与所述源移动轨迹的起点和终点相同，且所述第一移动轨迹包括的路段与所述源移动轨迹的路段相同。由于第一移动轨迹的起点和终点分别与所述源移动轨迹的起点和终点相同，且所述第一移动轨迹包括的路段与所述源移动轨迹的路段相同，这样就可以得到第一移动轨迹经过各路段的顺序也与源移动轨迹经过各路段的顺序相同。例如：上述源移动轨迹和第一移动轨迹可以如图6a所示，在图6a中源移动轨迹601与第一移动轨迹602完全相同。通过上述描述可得知第一用户在与所述用户移动上述源移动轨迹的时间相同或者相近的时间内移动的轨迹与所述用户移动的轨迹相同。
可选的，上述第二用户还可以是在所述目标时间内按第二移动轨迹移动的第二用户，所述第二移动轨迹的起点与所述源移动轨迹的起点相同或者所述第二移动轨迹的终点与所述源移动轨迹的终点相同，且所述第二移动轨迹包括的路段与所述源移动轨迹的路段中存在相同的M个路段，且所述第二移动轨迹经过所述M个路段的顺序与所述源移动轨迹经过所述M个路段的顺序相同，所述M为大于1的整数。例如：上述源移动轨迹和第二移动轨迹可以如图6b所示，在图6b中源移动轨迹601与第二移动轨迹603的终点相同，且源移动轨迹601包含第二移动轨迹603。通过上述描述 可得知第二用户在与所述用户移动上述源移动轨迹的时间相同或者相近的时间内移动的轨迹与所述用户移动的轨迹部分相同。
可选的，上述第二用户还可以是在所述目标时间内按第二移动轨迹移动的第二用户，所述第二移动轨迹包括的路段与所述源移动轨迹的路段中存在相同的M个路段，且所述第二移动轨迹经过所述M个路段的顺序与所述源移动轨迹经过所述M个路段的顺序相同，所述M为大于1的整数。例如：上述源移动轨迹和第三移动轨迹可以如图6c所示，在图6c中源移动轨迹601包含第二移动轨迹604。
可选的，上述第三用户可以是在所述目标时间内按第三移动轨迹移动的第三用户，上述源移动轨迹属于第三移动轨迹的一分部路。例如：上述源移动轨迹和第三移动轨迹可以如图6d所示，在图6d中第三移动轨迹605包含源移动轨迹601。
可选的，上述第四用户可以是在所述目标时间内按第四移动轨迹移动的第四用户，所述第四移动轨迹包括的路段与所述源移动轨迹的路段中存在相同的H个路段，且所述第四移动轨迹经过所述H个路段的顺序与所述源移动轨迹经过所述H个路段的顺序相同，所述H为大于1的整数。例如：上述源移动轨迹和第四移动轨迹可以如图6e所示，在图6e中源移动轨迹601包含第四移动轨迹606中的一部分。通过上述描述可得知第四用户在与所述用户移动上述源移动轨迹的时间相同或者相近的时间内移动的轨迹与所述用户移动的轨迹部分相同。
可选的，上述第五用户可以是在所述目标时间内按第五移动轨迹移动的第五用户，所述第五移动轨迹的起点和终点分别与所述源移动轨迹的起点和终点相同，且所述第五移动轨迹包括的路段与所述源移动轨迹的路段中存在相同的T个路段，所述T为等于或者大于所述第四移动轨迹总路段数与预设比例的乘积的整数。例如，第五移动轨迹总路段数为20，预设 比例为80％，那么上述T就可以为等于或者大于16的整数。例如：上述源移动轨迹和第五移动轨迹可以如图6f所示，在图6f中源移动轨迹601与第五移动轨迹607存在分部重合，且重合之间不连续。通过上述描述可得知第五用户在与所述用户移动上述源移动轨迹的时间相同或者相近的时间内移动的轨迹与所述用户移动的轨迹部分相同。
上述一个路段可以是为实际中一条道路，或者上述一个路段可以是为实际一条道路中的部分路段，例如：一条道路可以划分为南段、中段和北段。
另外，当上述推荐用户包括上述第一用户、第二用户、第三用户、第四用户和第五用户中多个用户时，服务器还可以对这多个用户进行优先级别划分，例如：将第一用户划分为第一级别，第二用户划分为第二级别，第三用户划分为第三级别，第四用户划分为第四级别、第五用户划分为第五级别。这样步骤506接收到的推荐用户在展现时，就可以按照优先级别进行展现，从而提高推荐效果。
上述技术方案中，在实施例的基础上介绍了多种可选的实施方式，从而可以实现向用户推荐多种移动轨迹相似的用户。
上面对本发明实施例中的数据收集的方法在用户侧角度进行了描述，下面对本发明实施例中的数据收集的方法在服务器侧角度进行描述。请参阅图7，本发明实施例中数据收集的方法700包括步骤701-702。
701、接收运动信息采集设备发送的用户的运动喜好信息。
702、根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户。
第一实施例
请参阅图8，其示出了本发明实施例中数据收集的方法。所述方法包括步骤801-802。
801、接收运动信息采集设备发送的所述用户的运动类型信息。
802、根据所述用户的运动类型信息将所述用户分到包括与所述运动类型对应的其他用户的组中。
第二实施
请参阅图9，其示出了本发明实施例中数据收集的方法。如图9所示，所述方法包括步骤901-903。
901、接收运动信息采集设备发送的源移动轨迹，所述源移动轨迹包括所述用户移动的多个位置的位置信息以及所述源移动轨迹的时间信息。
上述位置信息可以是指地理位置信息，例如：经纬度和朝向信息等，再进一步还可以包括定位精度信息。这样通过上述位置信息就可以清楚地知道用户所处的位置。上述源移动轨迹的时间信息可以是包括源移动轨迹中用户在上述多个位置的时间信息，即各个位置的时间信息，这样通过该时间信息就可以知道用户在不同位置的时间。或者，上述源移动轨迹的时间信息还可以包括源移动轨迹的时间区间信息，即用户移动上述源移动轨迹的时间区间。
902、根据所述源移动轨迹查找在目标时间内在所述多个位置中至少一个位置移动的用户，并将所述用户作为推荐用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内。
可以是在执行步骤902之前获取有其他用户的移动轨迹，从而步骤902就可以在预先获取的移动轨迹中查找上述推荐用户。
903、发送所述推荐用户的用户信息。
上述推荐用户的用户信息可以包括该推荐用户的用户名、用户ID、用户头像、用户邮箱等等可以识别现该用户的信息。
可选的，上述方法可以应用于服务器。
上述技术方案中，接收运动信息采集设备发送的源移动轨迹，再根据所述源移动轨迹查找在目标时间内在所述多个位置中至少一个位置移动的用户，并将所述用户作为推荐用户，最后发送所述推荐用户的用户信息。从而本实施例可以实现向用户推荐移动轨迹相似的用户。
请参阅图10，其示出了本发明实施例中另一种数据收集的方法。如图10所示，该方法包括步骤1001-1004。
1001、接收运动信息采集设备发送的源移动轨迹，其中，所述源移动轨迹包括：所述源移动轨迹的起点、多个位置和终点的位置信息和时间信息的源移动轨迹。
可选的，上述多个位置可以是用户在移动过程中，等时间间隔地获取的多个位置，例如：每隔1秒或者20秒等获取当前位置的位置信息和时间信息。或者在用户移动过程中，可以是等距离间隔地获取的多个位置，例如：每隔10米或者50米等获取当前位置的位置信息和时间信息。或者在用户移动过程中，随机地获取的多个位置。
1002、对所述源移动轨迹包括的多个位置进行路段匹配，得到所述源移动轨迹经过的多个路段，并根据各所述位置的时间信息计算出所述源移动轨迹经过各所述路段的顺序。
可选的，本方法具体可以是预先获取特定地区的路段包含的位置，这样当获取到上述多个位置时，就可以判断各位置所属的路段。例如：针对某省，可以获取该省内所以路段包含的位置，当然这些位置可以是该路段的参考位置，从而可以快速地查找在该省内移动的移动轨迹。另外，针对每个路段可以是采用一个唯一的ID进行标识，即一个ID对应一个路段，这样源移动轨迹经过的多个路段，就可以采用多个ID进行表示。上述根据各所述位置的时间信息计算出所述源移动轨迹经过各所述路段的顺序可以 是，根据各位置的时间信息计算出该源移动轨迹中经过各路段的时间区间，这样通过各路段的时间区间，就可以知道该源移动轨迹经过各路段的顺序。
1003、查找在所述目标时间内在所述源移动轨迹经过的多个路段中至少一个路段移动的用户，并将所述用户作为推荐用户，所述目标时间与所述源移动轨迹的起点和终点构成的时间区间相差在预设时间阈值内。
在执行步骤1003之前可以预先获取有其他用户的类似于上述源移动轨迹的移动轨迹，这样就可以通过步骤1002类似的方法获取到各用户经过的路段，以及经过各路段的时间，从而步骤1003就可以查找到上述推荐用户。
可选的，上述所述推荐用户可以包括如下至少一项：
在所述目标时间内的移动轨迹与所述源移动轨迹重合的第一用户；
在所述目标时间内的移动轨迹属于所述源移动轨迹的一部分的第二用户；
在所述目标时间内的移动轨迹包含所述源移动轨迹的第三用户；
在所述目标时间内的移动轨迹与所述源移动轨迹存在部分相同路径的第四用户，其中，所述部分相同路径为连续的路径；
在所述目标时间内的移动轨迹与所述源移动轨迹存在部分相同路径的第五用户，其中，所述第五用户移动的起始点与所述源移动轨迹的起始点相同，且所述部分相同路径为不连续的路径。
可选的，步骤1003可以包括：
判断是否存在所述第一用户，若存在，则将所述第一用户作为推荐用户；
若不存在所述第一用户，判断是否存在所述第二用户，若存在，则将所述第二用户作为推荐用户；
若不存在所述第一用户和所述第二用户，判断是否存在所述第三用 户，若存在，则将所述第三用户作为推荐用户；
若不存在所述第一用户、所述第二用户和所述第三用户，判断是否存在所述第四用户，若存在，则将所述第四用户作为推荐用户；
若不存在所述第一用户、所述第二用户、所述第三用户和所述第四用户，判断是否存在所述第五用户，若存在，则将所述第五用户作为推荐用户。
该实施方式，可以实现对上述第一用户、第二用户、第三用户和第四用户进行优先级别查找，以实现优先向用户推荐优先级别高的用户。
1004、发送所述推荐用户的用户信息。
上述技术方案中，在第三个实例的基础上介绍了多种可选的实施方式，从而可以实现向用户推荐多种移动轨迹相似的用户。
上面对本发明实施例中的数据收集的方法进行了描述，下面对本发明实施例中的数据处理的方法进行描述，请参阅图11，本发明实施例中数据处理的方法1100包括步骤1101-1104。
1101、运动信息采集设备获取用户的运动数据。
1102、所述运动信息采集设备分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好。
1103、所述运动信息采集设备将所述用户的运动喜好信息发送至服务器。
1104、所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户。
第一实施例
请参阅图12，本发明实施例中数据处理的方法1200包括步骤 1201-1204。
1201、运动信息采集设备获取用户的运动数据。
1202、所述运动信息采集分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动类型。
1203、所述运动信息采集将所述用户的运动类型信息发送至服务器。
1204、所述服务器根据所述用户的运动类型信息将所述用户分到包括与所述运动类型对应的其他用户的组中。
本发明图12对应的实施例可以参阅图2和图8对应的实施例的描述进行理解，此处不做过多赘述。
第二实施例
请参阅图13，本发明实施例中数据处理的方法1300包括步骤1301-1305。
1301、运动信息采集设备获取用户的运动数据。
1302、所述运动信息采集设备分析所述用户的运动数据，并根据所述运动数据确定所述用户的源移动轨迹，所述源移动轨迹包括所述用户移动的多个位置的位置信息以及所述源移动轨迹的时间信息。
1303、所述运动信息采集设备将所述用户的源移动轨迹信息发送至服务器。
1304、所述服务器根据所述源移动轨迹查找在目标时间内在所述多个位置中至少一个位置移动的用户，并将所述用户作为所述用户终端的推荐用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内。
1305、所述运动信息采集设备接收所述服务器返回的所述推荐用户的用户信息。
可选的，步骤1302可以包括：
当所述用户开始移动时，获取起点的位置信息和时间信息；
在所述用户移动过程中，获取多个位置的位置信息和时间信息；
当所述用户移动结束时，获取终点的位置信息和时间信息；
生成包括所述起点、多个位置和终点的位置信息和时间信息的源移动轨迹。
可选的，步骤1304可以包括：
服务器对所述源移动轨迹包括的多个位置进行路段匹配，得到所述源移动轨迹经过的多个路段，并根据各所述位置的时间信息计算出所述源移动轨迹经过各所述路段的顺序；
服务器查找在所述目标时间内在所述源移动轨迹经过的多个路段中至少一个路段移动的用户，并将所述用户作为推荐用户。
需要说明的是，本实施例中用户终端的实施方式可以参考图4和图5所示的实施例中的实施方式，本实施例中的服务器的实施方式可以参考图9和图10所示的实施例中的实施方式。
上述技术方案中，运动信息采集设备获取用户移动的源移动轨迹，再向服务器发送所述源移动轨迹，服务器根据所述源移动轨迹查找在目标时间内在所述多个位置中至少一个位置移动的用户，并将所述用户作为推荐用户，这样运动信息采集设备可以接收所述服务器返回的所述推荐用户的用户信息。从而可以实现向用户推荐移动轨迹相似的用户。
上面对本发明实施例中的数据收集的方法和数据处理的方法进行了描述，下面分别对本发明实施例中的运动信息采集设备、服务器和运动信息采集系统进行描述。
请参阅图14，本发明实施例中运动信息采集设备1400包括：
获取模块1401，用于获取用户的运动数据；
分析模块1402，用于分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好；
发送模块1403，用于将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户。
第一实施例
请参阅图15，本发明实施例中运动信息采集设备1500包括：
获取模块1501，用于获取用户的运动数据；
分析模块1502，用于分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动类型；
发送模块1503，用于将所述用户的运动类型信息发送至服务器，以便所述服务器根据所述用户的运动类型信息将所述用户分到包括与所述运动类型对应的其他用户的组中。
本实施例中，运动信息采集设备通过对收集到的用户的运动数据分析，并根据所述运动数据确定所述用户的运动类型，以将该运动类型信息发送至服务器，以便服务器根据该用户的运动类型信息将所述用户分到包括与所述运动类型对应的其他用户的组中；这样，避免了用户在登录社交账号时输入自身的喜好等一系列繁琐过程，能够自动获取到用户的喜好，而且运动信息采集设备根据收集到的数据所分析到的用户的喜好也能够贴合用户的真实情况。
具体的，本实施例中的运动信息采集设备可以是能够采集用户运动信息的任意设备。在本实施例中，运动信息采集设备可以是可穿戴设备，例如智能手表、智能手环、智能手机等等，在此不做限制。
可选的，在图15所示实施例的基础上，所述获取模块1501还用于获取所述用户的运动位置和/或运动时间。
所述发送模块1503还用于将所述运动位置和/或运动时间发送至服务器，以便所述服务器根据所述运动位置和/或运动时间将所述用户分到包括与所述运动位置和/或运动时间对应的其他用户的组中。
可选的，在图15所示实施例的基础上，所述获取模块1501具体包括加速度传感器，用于检测用户的运动速度。
所述分析模块1502具体用于当检测到所述用户在第一预置时长内的运动速度大于第一预置数值时，确定所述用户处于跑步中。
可选的，在图15所示实施例的基础上，所述获取模块1501具体包括陀螺仪，用于检测用户的摆动角度。
所述分析模块1502具体用于当检测到所述用户在第二预置时长内摆动角度大于第二预置数值时，确定所述用户处于球类运动中。
可选的，在图15所示实施例的基础上，参阅图16，本发明实施例提供的运动信息采集设备的另一个实施例中，所述运动信息采集设备还包括：
检测模块1604，用于检测所述用户的运动数据在预置时间段内符合预置条件的次数；
所述分析模块1502具体用于当检测到所述次数达到第三预置数值时，所述运动信息采集设备确定所述用户的运动类型为与所述预置条件对应的运动类型。
第二实施例
请参阅图17，图17示出了本发明实施例提供的另一种运动信息采集设备，如图17所示，包括：获取模块1701、分析模块1702、发送模块1703和接收模块1704，其中：
获取模块1701，用于获取用户的运动数据。
分析模块1702，用于分析所述用户的运动数据，并根据所述运动数据确定用户移动的源移动轨迹，所述源移动轨迹包括所述用户移动的多个 位置的位置信息以及所述源移动轨迹的时间信息。
发送模块1703，用于向服务器发送所述源移动轨迹，以使所述服务器根据所述源移动轨迹确定推荐用户。
接收模块1704，用于接收所述服务器返回的所述推荐用户的用户信息，所述推荐用户包括在目标时间内在所述多个位置中至少一个位置移动的用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内。
在另一个实施例中，如图18所示，获取模块1701可以包括：
第一获取单元1711，用于当所述用户开始移动时，获取起点的位置信息和时间信息；
第二获取单元1712，用于在所述用户移动过程中，获取多个位置的位置信息和时间信息；
第三获取单元1713，用于当用户移动结束时，获取终点的位置信息和时间信息；
所述分析模块1702，用于生成包括所述起点、多个位置和终点的位置信息和时间信息的源移动轨迹。
该实施例中，所述分析模块1702可以包括：
抽稀单元，用于根据所述多个位置的位置信息和时间信息判断所述用户移动的路径是否存在特定路径，若是，则对所述多个位置中位于所述特定路径中的多个位置进行抽稀操作得到多个抽稀位置；
生成单元，用于生成包括所述起点、多个非抽稀位置、多个抽稀位置和终点的位置信息和时间信息的源移动轨迹，所述多个非抽稀位置为所述多个位置中不位于所述特定路径中的多个位置。
可选的，上述特定路径可以包括如下至少一项：
堵车的路径和保持直行的路径。
该实施方式中，由于对位于所述特定路径中的多个位置进行抽稀操 作，这样就可以减少源移动轨迹中位置的数量，从而减少计算量，以及节约网络流量。
可选的，上述推荐用户可以包括：
在目标时间内在所述源移动轨迹经过的多个路段中至少一个路段移动的用户，所述目标时间与所述源移动轨迹的起点和终点构成的时间区间相差在预设时间阈值内，所述源移动轨迹经过的多个路段是所述服务器对所述源移动轨迹包括的多个位置进行路段匹配，得到所述源移动轨迹经过的多个路段，且所述服务器还根据各所述位置的时间信息计算出所述源移动轨迹经过各所述路段的顺序。
更一步，上述推荐用户可以包括如下至少一项：
在所述目标时间内的移动轨迹与所述源移动轨迹重合的第一用户；
在所述目标时间内的移动轨迹属于所述源移动轨迹的一部分的第二用户；
在所述目标时间内的移动轨迹包含所述源移动轨迹的第三用户；
在所述目标时间内的移动轨迹与所述源移动轨迹存在部分相同路径的第四用户，其中，所述部分相同路径为连续的路径；
在所述目标时间内的移动轨迹与所述源移动轨迹存在部分相同路径的第五用户，其中，所述第五用户移动的起始点与所述源移动轨迹的起始点相同，且所述部分相同路径为不连续的路径。
可选的，上述装置可以应用于用户终端。
可选的，所述装置还可以根据上述用户信息将上述推荐用户加为用户。另外，本实施例中，上述推荐用户可以是一个或者多个用户。
上述技术方案中，获取用户移动的源移动轨迹，再向服务器发送所述源移动轨迹，这样服务器就可以根据所述源移动轨迹查找推荐用户；从而接收所述服务器返回的所述推荐用户的用户信息，而该推荐用户包括在 目标时间内在所述多个位置中至少一个位置移动的用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内。从而本实施例可以实现向用户推荐移动轨迹相似的用户。
请参阅图19，本发明实施例中服务器1900包括：
接收模块1901，用于接收运动信息采集设备发送的用户的运动喜好信息；
处理模块1902，用于根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户。
第一实施例
请参阅图20，本发明实施例中服务器2000包括：
接收模块2001，用于接收运动信息采集设备发送的所述用户的运动类型信息；
处理模块2002，用于根据所述用户的运动类型信息将所述用户分到包括与所述运动类型对应的其他用户的组中。
第二实施例
请参阅图21，图21示出了本发明实施例提供另一种服务器，如图21所示，包括：接收模块2101、处理模块2102和发送单元2103，其中：
接收模块2101，用于接收用户的源移动轨迹，所述源移动轨迹包括所述用户移动的多个位置的位置信息以及所述源移动轨迹的时间信息。
处理模块2102，用于根据所述源移动轨迹查找在目标时间内在所述多个位置中至少一个位置移动的用户，并将所述用户作为推荐用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内。
发送模块2103，用于发送所述推荐用户的用户信息。
作为另一个实施例，上述源移动轨迹可以包括：
所述源移动轨迹的起点、多个位置和终点的位置信息和时间信息的源移动轨迹，所述目标时间与所述源移动轨迹的起点和终点构成的时间区间相差在预设时间阈值内。
该实施例中，可以如图22所示，所述处理模块2102可以包括：
匹配单元2121，用于对所述源移动轨迹包括的多个位置进行路段匹配，得到所述源移动轨迹经过的多个路段，并根据各所述位置的时间信息计算出所述源移动轨迹经过各所述路段的顺序；
查找单元2122，用于查找在所述目标时间内在所述源移动轨迹经过的多个路段中至少一个路段移动的用户，并将所述用户作为推荐用户。
可选的，上述推荐用户可以包括如下至少一项：
在所述目标时间内的移动轨迹与所述源移动轨迹重合的第一用户；
在所述目标时间内的移动轨迹属于所述源移动轨迹的一部分的第二用户；
在所述目标时间内的移动轨迹包含所述源移动轨迹的第三用户；
在所述目标时间内的移动轨迹与所述源移动轨迹存在部分相同路径的第四用户，其中，所述部分相同路径为连续的路径；
在所述目标时间内的移动轨迹与所述源移动轨迹存在部分相同路径的第五用户，其中，所述第五用户移动的起始点与所述源移动轨迹的起始点相同，且所述部分相同路径为不连续的路径。
作为另一个实施例，如图23所示，查找单元2122可以包括：
第一判断子单元21221，用于判断是否存在所述第一用户；
第一推荐子单元21222，用于当所述第一判断子单元21221判断存在所述第一用户时，则将所述第一用户作为推荐用户；
第二判断子单元21223，用于当所述第一判断子单元21221判断不存 在所述第一用户，判断是否存在所述第二用户；
第二推荐子单元21224，用于当所述第二判断子单元21223判断存在所述第二用户时，则将所述第二用户作为推荐用户；
第三判断子单元21225，用于当所述第二判断子单元21223判断不存在所述第二用户，判断是否存在所述第三用户；
第三推荐子单元21226，用于当所述第三判断子单元21225判断存在所述第三用户时，则将所述第三用户作为推荐用户；
第四判断子单元21227，用于当所述第三判断子单元21225判断不存在所述第三用户，判断是否存在所述第四用户；
第四推荐子单元21228，用于当所述第四判断子单元21227判断存在所述第四用户时，则将所述第四用户作为推荐用户；
第五判断子单元21229，用于当所述第四判断子单元21227判断不存在所述第四用户，判断是否存在所述第五用户；
第五推荐子单元212210，用于当所述第五判断子单元21229判断存在所述第五用户时，则将所述第五用户作为推荐用户。
该实施方式，可以实现对上述第一用户、第二用户、第三用户和第四用户进行优先级别查找，以实现优先向用户推荐优先级别高的用户。
可选的，上述装置可以应用于服务器。
上述技术方案中，接收用户的源移动轨迹，再根据所述源移动轨迹查找在目标时间内在所述多个位置中至少一个位置移动的用户，并将所述用户作为推荐用户，最后发送所述推荐用户的用户信息。从而本实施例可以实现向用户推荐移动轨迹相似的用户。
上面对本发明实施例中的运动信息采集设备和服务器进行了描述， 下面对本发明实施例中的运动信息采集系统进行描述。
请参阅图24，本发明实施例中运动信息采集系统2400包括：
运动信息采集设备2401和服务器2402。
其中，所述运动信息采集设备2401的描述可以参阅图14-18对应的实施例或者可选实施例的描述，服务器2402的描述可以参阅图19-23对应的实施例的描述，在此不再赘述。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统，装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
请参阅图25，其示出了本申请数据处理的方法的应用环境示意图。如图25所示，运动信息采集设备2510以及服务器2520位于无线或有线网络2530中，通过该无线或有线网络2530，运动信息采集设备2510以及服务器2520相互通信。
请参阅图26，其示出了本申请数据收集的方法的应用环境示意图。如图26所述，运动信息采集设备2600包括存储器2601、存储控制器2603，一个或多个(图中仅示出一个)处理器2602、外设接口2604、定位模块2605、加速度传感器2606、陀螺仪2607以及触控屏幕2608。这些组件通过一条或多条通讯总线/信号线相互通讯。
可以理解，图26所示的结构仅为示意，运动信息采集设备2600还可包括比图26中所示更多或者更少的组件，或者具有与图26所示不同的配置。图26中所示的各组件可以采用硬件、软件或其组合实现。
存储器2601可用于存储软件程序以及模块，如本发明实施例中的在运动信息采集设备内实现数据收集的方法和设备对应的程序指令/模块，处 理器2602通过运行存储在存储器2601内的软件程序以及模块，从而执行各种功能应用以及数据处理，即在上述的运动信息采集设备内实现数据收集的方法。
存储器2601可包括高速随机存储器，还可包括非易失性存储器，如一个或者多个磁性存储装置、闪存、或者其他非易失性固态存储器。在一些实例中，存储器2601可进一步包括相对于处理器2602远程设置的存储器，这些远程存储器可以通过网络连接至运动信息采集设备2600。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。处理器2602以及其他可能的组件对存储器2601的访问可在存储控制器2603的控制下进行。
外设接口2604将各种输入/输入装置耦合至CPU以及存储器2601。处理器2602运行存储器2601内的各种软件、指令以执行运动信息采集设备2600的各种功能。
在一些实施例中，外设接口2604，处理器2602以及存储控制器2601可以在单个芯片中实现。在其他一些实例中，他们可以分别由独立的芯片实现。
定位模块2605用于获取运动信息采集设备2600的当前位置。定位模块2605的实例包括但不限于全球卫星定位系统(GPS)、基于无线局域网或者移动通信网的定位技术。
加速度传感器2606是用于测量加速度的仪器。当运动信息采集设备2600佩戴于用户身体上时，加速度传感器2606可以用于测量用户的速度。
陀螺仪2607是用于测量角运动的仪器。当运动信息采集设备2600佩戴于用户身体上时，陀螺仪2607可以用于测量用户的倾斜角度。
触控屏幕2608在运动信息采集设备2600与用户之间同时提供一个输出及输入界面。具体地，触控屏幕2608向用户显示视频输出，这些视频 输出的内容可包括文字、图形、视频、及其任意组合。一些输出结果是对应于一些用户界面对象。触控屏幕2608还接收用户的输入，例如用户的点击、滑动等手势操作，以便用户界面对象对这些用户的输入做出响应。检测用户输入的技术可以是基于电阻式、电容式或者其他任意可能的触控检测技术。触控屏幕2608显示单元的具体实例包括但并不限于液晶显示器或发光聚合物显示器。
在本发明实施例中，该运动信息采集设备2600所包括的处理器2602可执行存储在存储器2601中的程序指令，以执行以下功能：
获取用户的运动数据；
分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好；
将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户。
可选地，上述分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好包括：
分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动类型；以及
将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：
将所述用户的运动类型信息发送至服务器，以便所述服务器根据所述用户的运动类型信息将所述用户分到包括与所述运动类型对应的其他用户的组中。
可选地，上述分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好包括：
分析所述用户的运动数据，并根据所述运动数据确定所述用户的源 移动轨迹，所述源移动轨迹包括所述用户移动的多个位置的位置信息以及所述源移动轨迹的时间信息；以及
将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动洗好对应的其他用户包括：
将所述用户的源移动轨迹信息发送至服务器，以便所述服务器根据所述用户的源移动轨迹信息确定推荐用户，所述推荐用户包括在目标时间内在所述多个位置中至少一个位置移动的用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内。
可选地，所述功能还包括：
获取所述用户的运动位置和/或运动时间；
将所述运动位置和/或运动时间发送至服务器，以便所述服务器根据所述运动位置和/或运动时间将所述用户分到包括与所述运动位置和/或运动时间对应的其他用户的组中。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统，装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单 元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本发明各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，以上实施例仅用以说明本发明的技术方案，而非对其限制；尽管参照前述实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的精神和范围。

Claims (37)

  1. 一种数据收集的方法，其特征在于，包括：
    运动信息采集设备获取用户的运动数据；
    分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好；
    将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户。
  2. 根据权利要求1所述的数据收集的方法，其特征在于，
    分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好包括：
    分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动类型；
    将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：
    将所述用户的运动类型信息发送至服务器，以便所述服务器根据所述用户的运动类型信息将所述用户分到包括与所述运动类型对应的其他用户的组中。
  3. 根据权利要求2所述的数据收集的方法，其特征在于，所述方法还包括：
    所述运动信息采集设备获取所述用户的运动位置和/或运动时间；
    所述运动信息采集设备还将所述运动位置和/或运动时间发送至服务器，以便所述服务器根据所述运动位置和/或运动时间将所述用户分到包括与所述运动位置和/或运动时间对应的其他用户的组中。
  4. 根据权利要求2所述的数据收集的方法，其特征在于，所述运动信息采集设备内设置有加速度传感器；
    所述运动信息采集设备获取用户的运动数据，包括：
    所述加速度传感器检测用户的运动速度；
    所述运动信息采集设备分析所述用户的运动数据并根据所述运动数据 确定所述用户的运动类型，包括：
    当检测到所述用户在第一预置时长内的运动速度大于第一预置数值时，所述运动信息采集设备确定所述用户的运动类型为跑步。
  5. 根据权利要求2所述的数据收集的方法，其特征在于，所述运动信息采集设备内设置有陀螺仪；
    所述运动信息采集设备获取用户的运动数据，包括：
    所述陀螺仪检测用户的摆动角度；
    所述运动信息采集设备分析所述用户的运动数据并根据所述运动数据确定所述用户的运动类型，包括：
    当检测到所述用户在第二预置时长内摆动角度大于第二预置数值时，所述运动信息采集设备确定所述用户的运动类型为球类运动。
  6. 根据权利要求2所述的数据收集的方法，其特征在于，所述运动信息采集设备分析所述用户的运动数据并根据所述运动数据确定所述用户的运动类型，包括：
    检测所述用户的运动数据在预置时间段内符合预置条件的次数；
    当检测到所述次数达到第三预置数值时，所述运动信息采集设备确定所述用户的运动类型为与所述预置条件相对应的运动类型。
  7. 根据权利要求1所述的数据收集的方法，其特征在于，
    分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好包括：
    分析所述用户的运动数据，并根据所述运动数据确定所述用户的源移动轨迹，所述源移动轨迹包括所述用户移动的多个位置的位置信息以及所述源移动轨迹的时间信息；
    将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：
    将所述用户的源移动轨迹信息发送至服务器，以便所述服务器根据所述用户的源移动轨迹信息确定推荐用户，所述推荐用户包括在目标时间内在所述多个位置中至少一个位置移动的用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内；
    所述方法还包括：
    接收所述服务器返回的所述推荐用户的用户信息。
  8. 根据权利要求7所述的数据收集的方法，其特征在于，所述确定所述用户的源移动轨迹，包括：
    当所述用户开始移动时，获取起点的位置信息和时间信息；
    在所述用户移动过程中，获取多个位置的位置信息和时间信息；
    当所述用户移动结束时，获取终点的位置信息和时间信息；
    生成包括所述起点、多个位置和终点的位置信息和时间信息的源移动轨迹。
  9. 如权利要求8所述的方法，其特征在于，所述生成包括所述起点、多个位置和终点的位置信息和时间信息的源移动轨迹，包括：
    根据所述多个位置的位置信息和时间信息判断所述用户移动的路径是否存在特定路径，若是，则对所述多个位置中位于所述特定路径中的多个位置进行抽稀操作得到多个抽稀位置；
    生成包括所述起点、多个非抽稀位置、多个抽稀位置和终点的位置信息和时间信息的源移动轨迹，所述多个非抽稀位置为所述多个位置中不位于所述特定路径中的多个位置。
  10. 如权利要求9所述的方法，其特征在于，所述特定路径包括如下至少一项：
    堵车的路径和保持直行的路径。
  11. 如权利要求7-10中任一项所述的方法，其特征在于，所述推荐用户包括：
    在目标时间内在所述源移动轨迹经过的多个路段中至少一个路段移动的用户，所述目标时间与所述源移动轨迹的起点和终点构成的时间区间相差在预设时间阈值内，所述源移动轨迹经过的多个路段是所述服务器对所述源移动轨迹包括的多个位置进行路段匹配，得到所述源移动轨迹经过的多个路段，且所述服务器还根据各所述位置的时间信息计算出所述源移动轨迹经过各所述路段的顺序。
  12. 如权利要求11所述的方法，其特征在于，所述推荐用户包括如下至少一项：
    在所述目标时间内的移动轨迹与所述源移动轨迹重合的第一用户；
    在所述目标时间内的移动轨迹属于所述源移动轨迹的一部分的第二用户；
    在所述目标时间内的移动轨迹包含所述源移动轨迹的第三用户；
    在所述目标时间内的移动轨迹与所述源移动轨迹存在部分相同路径的第四用户，其中，所述部分相同路径为连续的路径；
    在所述目标时间内的移动轨迹与所述源移动轨迹存在部分相同路径的第五用户，其中，所述第五用户移动的起始点与所述源移动轨迹的起始点相同，且所述部分相同路径为不连续的路径。
  13. 一种数据收集的方法，其特征在于，包括：
    接收运动信息采集设备发送的用户的运动喜好信息；
    根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户。
  14. 如权利要求13所述的方法，其特征在于，
    接收运动信息采集设备发送的用户的运动喜好信息包括：
    接收运动信息采集设备发送的所述用户的运动类型信息；
    根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：
    根据所述用户的运动类型信息将所述用户分到包括与所述运动类型对应的其他用户的组中。
  15. 如权利要求14所述的方法，其特征在于，还包括：
    接收所述用户的运动位置和/或运动时间；
    根据所述运动位置和/或运动时间将所述用户分到包括与所述运动位置和/或运动时间对应的其他用户的组中。
  16. 如权利要求13所述的方法，其特征在于，
    接收运动信息采集设备发送的用户的运动喜好信息包括：
    接收运动信息采集设备发送的源移动轨迹，所述源移动轨迹包括所述用户移动的多个位置的位置信息以及所述源移动轨迹的时间信息；
    根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：
    根据所述源移动轨迹查找在目标时间内在所述多个位置中至少一个位置移动的用户，并将所述用户作为推荐用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内；
    所述方法还包括：
    发送所述推荐用户的用户信息。
  17. 如权利要求16所述的方法，其特征在于，所述源移动轨迹包括：
    所述源移动轨迹的起点、多个位置和终点的位置信息和时间信息，所述目标时间与所述源移动轨迹的起点和终点构成的时间区间相差在预设时间阈值内。
  18. 如权利要求17所述的方法，其特征在于，所述根据所述源移动轨迹查找在目标时间内在所述多个位置中至少一个位置移动的用户，并将所述用户作为推荐用户，包括：
    对所述源移动轨迹包括的多个位置进行路段匹配，得到所述源移动轨迹经过的多个路段，并根据各所述位置的时间信息计算出所述源移动轨迹经过各所述路段的顺序；
    查找在所述目标时间内在所述源移动轨迹经过的多个路段中至少一个路段移动的用户，并将所述用户作为推荐用户。
  19. 如权利要求18所述的方法，其特征在于，所述推荐用户包括如下至少一项：
    在所述目标时间内的移动轨迹与所述源移动轨迹重合的第一用户；
    在所述目标时间内的移动轨迹属于所述源移动轨迹的一部分的第二用户；
    在所述目标时间内的移动轨迹包含所述源移动轨迹的第三用户；
    在所述目标时间内的移动轨迹与所述源移动轨迹存在部分相同路径的第四用户，其中，所述部分相同路径为连续的路径；
    在所述目标时间内的移动轨迹与所述源移动轨迹存在部分相同路径的 第五用户，其中，所述第五用户移动的起始点与所述源移动轨迹的起始点相同，且所述部分相同路径为不连续的路径。
  20. 如权利要求19所述的方法，其特征在于，所述查找在所述目标时间内在所述源移动轨迹经过的多个路段中至少一个路段移动的用户，并将所述用户作为推荐用户，包括：
    判断是否存在所述第一用户，若存在，则将所述第一用户作为推荐用户；
    若不存在所述第一用户，判断是否存在所述第二用户，若存在，则将所述第二用户作为推荐用户；
    若不存在所述第一用户和所述第二用户，判断是否存在所述第三用户，若存在，则将所述第三用户作为推荐用户；
    若不存在所述第一用户、所述第二用户和所述第三用户，判断是否存在所述第四用户，若存在，则将所述第四用户作为推荐用户；
    若不存在所述第一用户、所述第二用户、所述第三用户和所述第四用户，判断是否存在所述第五用户，若存在，则将所述第五用户作为推荐用户。
  21. 一种运动信息采集设备，其特征在于，包括：
    获取模块，用于获取用户的运动数据；
    分析模块，用于分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好；
    发送模块，用于将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户。
  22. 根据权利要求21所述的运动信息采集设备，其特征在于，
    所述分析模块分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好包括：
    所述分析模块分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动类型；
    所述发送模块将所述用户的运动喜好信息发送至服务器，以便所述服 务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：
    所述发送模块将所述用户的运动类型信息发送至服务器，以便所述服务器根据所述用户的运动类型信息将所述用户分到包括与所述运动类型对应的其他用户的组中。
  23. 根据权利要求22所述的运动信息采集设备，其特征在于，
    所述获取模块还用于获取所述用户的运动位置和/或运动时间；
    所述发送模块还用于将所述运动位置和/或运动时间发送至服务器，以便所述服务器根据所述运动位置和/或运动时间将所述用户分到包括与所述运动位置和/或运动时间对应的其他用户的组中。
  24. 根据权利要求22所述的运动信息采集设备，其特征在于，所述运动信息采集设备还包括有加速度传感器；
    所述获取模块获取用户的运动数据，包括：
    所述加速度传感器检测用户的运动速度；
    所述分析模块分析所述用户的运动数据并根据所述运动数据确定所述用户的运动类型，包括：
    当检测到所述用户在第一预置时长内的运动速度大于第一预置数值时，所述分析模块确定所述用户的运动类型为跑步。
  25. 根据权利要求22所述的运动信息采集设备，其特征在于，所述运动信息采集设备内设置有陀螺仪；
    所述获取模块获取用户的运动数据，包括：
    所述陀螺仪检测用户的摆动角度；
    所述分析模块分析所述用户的运动数据并根据所述运动数据确定所述用户的运动类型，包括：
    当检测到所述用户在第二预置时长内摆动角度大于第二预置数值时，所述分析模块确定所述用户的运动类型为球类运动。
  26. 根据权利要求22所述的运动信息采集设备，其特征在于，所述分析模块分析所述用户的运动数据并根据所述运动数据确定所述用户的运动类型，包括：
    检测所述用户的运动数据在预置时间段内符合预置条件的次数；
    当检测到所述次数达到第三预置数值时，所述分析模块确定所述用户的运动类型为与所述预置条件相对应的运动类型。
  27. 根据权利要求21所述的运动信息采集设备，其特征在于，
    所述分析模块分析所述用户的运动数据，并根据所述运动数据确定所述用户的运动喜好包括：
    所述分析模块分析所述用户的运动数据，并根据所述运动数据确定所述用户的源移动轨迹，所述源移动轨迹包括所述用户移动的多个位置的位置信息以及所述源移动轨迹的时间信息；
    所述发送模块将所述用户的运动喜好信息发送至服务器，以便所述服务器根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：
    所述发送模块将所述用户的源移动轨迹信息发送至服务器，以便所述服务器根据所述用户的源移动轨迹信息确定推荐用户，所述推荐用户包括在目标时间内在所述多个位置中至少一个位置移动的用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内；
    所述运动信息采集设备还包括：
    接收单元，用于接收所述服务器返回的所述推荐用户的用户信息。
  28. 如权利要求27所述的运动信息采集设备，其特征在于，所述获取模块，包括：
    第一获取单元，用于当所述用户开始移动时，获取起点的位置信息和时间信息；
    第二获取单元，用于在所述用户移动过程中，获取多个位置的位置信息和时间信息；
    第三获取单元，用于当用户移动结束时，获取终点的位置信息和时间信息；
    所述分析模块，用于生成包括所述起点、多个位置和终点的位置信息和时间信息的源移动轨迹。
  29. 如权利要求28所述的运动信息采集设备，其特征在于，所述分析 模块包括：
    抽稀单元，用于根据所述多个位置的位置信息和时间信息判断所述用户移动的路径是否存在特定路径，若是，则对所述多个位置中位于所述特定路径中的多个位置进行抽稀操作得到多个抽稀位置；
    生成单元，用于生成包括所述起点、多个非抽稀位置、多个抽稀位置和终点的位置信息和时间信息的源移动轨迹，所述多个非抽稀位置为所述多个位置中不位于所述特定路径中的多个位置。
  30. 如权利要求27-29中任一项所述的运动信息采集设备，其特征在于，所述推荐用户包括：
    在目标时间内在所述源移动轨迹经过的多个路段中至少一个路段移动的用户，所述目标时间与所述源移动轨迹的起点和终点构成的时间区间相差在预设时间阈值内，所述源移动轨迹经过的多个路段是所述服务器对所述源移动轨迹包括的多个位置进行路段匹配，得到所述源移动轨迹经过的多个路段，且所述服务器还根据各所述位置的时间信息计算出所述源移动轨迹经过各所述路段的顺序。
  31. 一种服务器，包括：
    接收模块，用于接收运动信息采集设备发送的用户的运动喜好信息；
    处理模块，用于根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户。
  32. 如权利要求31所述的服务器，其特征在于，
    所述接收模块接收运动信息采集设备发送的用户的运动喜好信息包括：
    所述接收模块接收运动信息采集设备发送的所述用户的运动类型信息；
    所述处理模块根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：
    所述处理模块根据所述用户的运动类型信息将所述用户分到包括与所述运动类型对应的其他用户的组中。
  33. 如权利要求32所述的服务器，其特征在于，
    所述接收模块还用于接收所述用户的运动位置和/或运动时间；
    所述处理模块还用于根据所述运动位置和/或运动时间将所述用户分到包括与所述运动位置和/或运动时间对应的其他用户的组中。
  34. 如权利要求31所述的服务器，其特征在于，
    所述接收模块接收运动信息采集设备发送的用户的运动喜好信息包括：
    所述接收模块接收运动信息采集设备发送的所述用户的源移动轨迹，所述源移动轨迹包括所述用户移动的多个位置的位置信息以及所述源移动轨迹的时间信息；
    所述处理模块根据所述用户的运动喜好信息确定与所述运动喜好对应的其他用户包括：
    所述处理模块根据所述源移动轨迹查找在目标时间内在所述多个位置中至少一个位置移动的用户，并将所述用户作为推荐用户，所述目标时间与所述时间信息表示的时间之差在预设时间阈值内；
    所述服务器还包括：
    发送模块，用于发送所述推荐用户的用户信息。
  35. 如权利要求34所述的服务器，其特征在于，所述源移动轨迹包括：
    所述源移动轨迹的起点、多个位置和终点的位置信息和时间信息，所述目标时间与所述源移动轨迹的起点和终点构成的时间区间相差在预设时间阈值内。
  36. 如权利要求35所述的服务器，其特征在于，所述处理模块包括：
    匹配单元，用于对所述源移动轨迹包括的多个位置进行路段匹配，得到所述源移动轨迹经过的多个路段，并根据各所述位置的时间信息计算出所述源移动轨迹经过各所述路段的顺序；
    查找单元，用于查找在所述目标时间内在所述源移动轨迹经过的多个路段中至少一个路段移动的用户，并将所述用户作为推荐用户。
  37. 一种运动信息采集系统，其特征在于，包括：如权利要求21-30中任一项所述的运动信息采集设备和如权利要求31-36中任一项所述的服 务器。
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