CN105852873B - Motion data analysis method, electronic equipment and terminal - Google Patents
Motion data analysis method, electronic equipment and terminal Download PDFInfo
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- CN105852873B CN105852873B CN201610182343.3A CN201610182343A CN105852873B CN 105852873 B CN105852873 B CN 105852873B CN 201610182343 A CN201610182343 A CN 201610182343A CN 105852873 B CN105852873 B CN 105852873B
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/389—Electromyography [EMG]
Abstract
The invention provides a motion data analysis method, electronic equipment and a terminal. The motion data analysis method comprises the following steps: monitoring extracorporeal data of a user to obtain physical state information of the user, and monitoring physical sign data of the user to obtain mental state information of the user; calculating according to the physical state information and the psychological state information to obtain user training information; and sending the user training information to the intelligent mobile terminal. The invention enables the user to know the characteristics and the defects of the user more comprehensively and accurately, thereby carrying out correction or targeted training and further improving the efficiency more quickly.
Description
Technical Field
The present invention relates to the field of motion data analysis technologies, and in particular, to a motion data analysis method, an electronic device, and a terminal.
Background
With the development of scientific technology, the wearable devices are various at present, and the hardware devices realize powerful functions through software support, data interaction and cloud interaction, so that great changes are brought to our lives.
At present, the intelligent bracelet in the market is mainly designed for fitness users, can record the activity condition of the user in one day, and then outputs data to a computer or a mobile phone for data analysis. For example, the values of exercise steps, distance, calories, heart rate and the like of the user are intuitively reflected, and reasonable exercise advice is given by combining the physical condition of the user. However, this kind of smart band can only record the above-mentioned whole motion data, and can not analyze every action in the motion. Therefore, smart bracelets capable of recognizing and analyzing motion data in motion are also available in the market. The intelligent bracelet with the motion recognition function analyzes and compares recognized actions with a knowledge base for a user to check.
However, the psychology of the athlete has a great influence on the action effect of the athlete, and the existing smart bracelet with the motion recognition function only recognizes and analyzes the action of the athlete and cannot record the changes of the psychology, emotion and the like of the athlete, so that the comprehensive state information of the athlete cannot be obtained, and the analysis result is inaccurate.
Disclosure of Invention
The invention provides a motion data analysis method, electronic equipment and a terminal, which can solve the problems of incomplete user training state information and inaccurate analysis result in the prior art.
In order to solve the technical problems, the invention adopts a technical scheme that: there is provided a motion data analysis method, the method comprising the steps of: monitoring extracorporeal data of a user to obtain physical state information of the user, and monitoring physical sign data of the user to obtain mental state information of the user; calculating according to the physical state information and the psychological state information to obtain user training information; and sending the user training information to an intelligent mobile terminal.
Wherein the step of obtaining user training information by performing calculation according to the physical state information and the mental state information further comprises: and saving the user training information.
In order to solve the technical problem, the invention adopts another technical scheme that: there is provided a motion data analysis method, the method comprising the steps of: receiving user training information sent by mobile electronic equipment; matching the user training information with a database model, and comparing and calculating user state information; and presenting the user state information.
The step of matching the user training information with a database model and calculating user state information by comparison further comprises: providing an instructive suggestion according to the user state information; the step of presenting the user status information further comprises: presenting the instructional advice.
Wherein the instructional advice comprises at least athletic movement instructional advice and psychological instructional advice.
In order to solve the technical problem, the invention adopts another technical scheme that: the mobile electronic equipment comprises an in-vitro data acquisition module, a sign data acquisition module, a calculation module and a first communication module; the in-vitro data acquisition module is used for monitoring in-vitro data of a user to obtain body state information of the user; the physical sign data acquisition module is used for monitoring physical sign data of the user to obtain psychological state information of the user; the calculation module is connected with the in-vitro data acquisition module and the physical sign data acquisition module and is used for calculating according to the physical state information and the psychological state information to obtain user training information; and the first communication module is connected with the computing module and used for sending the user training information to the intelligent mobile terminal.
The mobile electronic device further comprises a storage module connected with the computing module and used for storing the user training information.
In order to solve the technical problem, the invention adopts another technical scheme that: providing an intelligent mobile terminal, wherein the intelligent mobile terminal comprises a second communication module, an analysis and calculation module and a content presentation module; the second communication module is used for receiving user training information sent by the mobile electronic equipment; the analysis and calculation module is connected with the second communication module and used for matching the user training information with a database model and calculating user state information; and the content presentation module is connected with the analysis calculation module and is used for presenting the user state information.
The analysis and calculation module is further used for proposing an instructive suggestion according to the user state information; the content presentation module is further configured to present the instructional advice.
Wherein the targeted advice includes at least athletic movement guidance advice and psychological guidance advice.
The invention has the beneficial effects that: different from the situation of the prior art, the body state information and the psychological state information in the user training process can be continuously tracked by continuously monitoring the in-vitro data and the physical sign data of the user, so that the body state information and the psychological state information can be calculated from the two aspects of the body state and the psychological state to obtain more comprehensive user training information, the analysis result is more accurate, the user can more comprehensively and more accurately know the characteristics and the defects of the user, the correction or targeted training is carried out, and the improvement can be more quickly obtained.
Drawings
FIG. 1 is a schematic flow chart of a mobile electronic device according to a first embodiment of the motion data analysis method of the present invention;
FIG. 2 is a flowchart illustrating a second embodiment of a mobile electronic device according to the present invention;
FIG. 3 is a schematic flow chart of a first embodiment of an intelligent mobile terminal according to a motion data analysis method of the present invention;
FIG. 4 is a schematic flow chart diagram of a second embodiment of an intelligent mobile terminal according to a motion data analysis method of the present invention;
FIG. 5 is a schematic diagram of a mobile electronic device according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of another embodiment of a mobile electronic device;
FIG. 7 is a schematic structural diagram of an embodiment of an intelligent mobile terminal according to the present invention;
FIG. 8 is a schematic flow chart of the overall system implementation of the motion data analysis method of the present invention;
FIG. 9 is a schematic side view of a user playing a table tennis;
FIG. 10 is a schematic view of a user's frontal state while playing a table tennis;
FIG. 11 is a schematic diagram of a physical device of the intelligent electronic device of the present invention;
fig. 12 is a schematic structural diagram of an intelligent mobile terminal-physical device according to the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
The mobile electronic equipment is an intelligent electronic bracelet with communication capability, independent computing capability and small sensing equipment. The "intelligent terminal" is a terminal device with communication capability and computing capability, including but not limited to a mobile phone, a tablet computer, a notebook computer, and a personal electronic device with similar functions.
Referring to fig. 1, fig. 1 is a schematic flow chart of a mobile electronic device according to a first embodiment of a motion data analysis method of the present invention.
Specifically, the motion data analysis method of the present embodiment includes the following steps:
s101, monitoring in-vitro data of a user to obtain physical state information of the user, and monitoring physical sign data of the user to obtain mental state information of the user.
In step S101, the in-vitro data of the user includes, but is not limited to, ambient air pressure, humidity, surface temperature of the user, motion trajectory, and position, so as to obtain the body state information of the user, such as motion condition, environmental change, and position change. Specifically, the monitoring of the motion conditions such as the motion trail and the position change in the in-vitro data can acquire the motion condition, the motion distance and the motion details through a three-dimensional motion sensor of the G-sensor or a GPS.
The physical sign data of the user includes but is not limited to biological data such as heart rate, blood pressure and the like, and can be monitored by an electrocardio sensor, an electromyography sensor, a body temperature sensor, a brain wave sensor and the like, and the emotional change of the user is sensed through electroencephalogram, electrocardio or the like, so that the psychological state information is obtained.
In the invention, the biosensor and the mobile electronic device are combined to continuously monitor the in-vitro data and the physical sign data of the user, so that continuous and comprehensive data can be obtained, and the analysis result at the later stage is more accurate.
And S102, calculating according to the physical state information and the psychological state information to obtain user training information.
For example, in step S102, the movement distance of the user is calculated from the position change data in the body state information, and the movement information of the user is determined by calculating the movement trajectory. By calculating the change of the emotion of the user on the psychological state information such as the heart rate and the blood pressure, the psychological information such as the degree of tension of the user can be judged. And further, the user training information about the motion and the psychology of the user in the training process can be obtained.
And S103, sending the user training information to the intelligent mobile terminal.
The purpose of step S103 is to send the user training information to the intelligent mobile terminal so that the intelligent mobile terminal can analyze and process the user training information, thereby obtaining a user state information conclusion.
The transmission mode of the user training information includes, but is not limited to, information transmission of a local area network or a wide area network communication based on a TCP/IP protocol, and wireless direct connection transmission modes between devices, such as bluetooth, infrared, WiFi, Zigbee, FM, and the like.
Different from the prior art, the system and the method can continuously track the body state information and the psychological state information in the user training process by continuously monitoring the in-vitro data and the physical sign data of the user, so that the body state information and the psychological state information can be calculated from the two aspects of the body state and the psychological state to obtain more comprehensive user training information, the analysis result is more accurate, the user can more comprehensively and more accurately know the characteristics and the defects of the user, the correction or targeted training is carried out, and the improvement can be more quickly obtained.
Referring to fig. 2, fig. 2 is a flowchart illustrating a mobile electronic device according to a second embodiment of a motion data analysis method of the present invention.
Specifically, the motion data analysis method of the present embodiment includes the following steps:
s201, monitoring in-vitro data of a user to obtain physical state information of the user, and monitoring physical sign data of the user to obtain mental state information of the user.
S202, calculating according to the physical state information and the psychological state information to obtain user training information.
And S204, storing the user training information.
Step S204 is to store the user training information, so as to store the result obtained by calculating the monitored data, so as to perform statistical analysis on the improvement of the exercise state and the psychological state of the user at a later stage.
And S203, sending the user training information to the intelligent mobile terminal.
Referring to fig. 3, fig. 3 is a schematic flow chart of a motion data analysis method according to a first embodiment of the invention at an intelligent mobile terminal.
S301, user training information sent by the mobile electronic equipment is received.
In step S301, the user training information may be received through information transmission of a local area network or a wide area network communication based on a TCP/IP protocol, a bluetooth, infrared, WiFi, Zigbee, FM, and other wireless direct transmission methods between devices, and the like.
And S302, matching the user training information with the database model, and comparing and calculating the user state information.
It is worth mentioning that standard action models of various motions and standard data of psychological state information in normal psychology are pre-stored in a database of the smart mobile terminal, and in step S302, after the smart mobile terminal receives the user training information, the user training information is matched with the database model, and user state information, such as user motion standard situation, user psychological situation and the like, is obtained through comparison and calculation. For example, when a user plays a table tennis, the mobile electronic device calculates the monitored data of the motion track, the heart rate, the blood pressure and the like of the left hand and the right hand of the user to obtain user training information, after the intelligent mobile terminal receives the user training information, the information is matched with a standard action model of the table tennis prestored in a database and a normal psychological state data model of the table tennis when the user plays the table tennis, and the action nonstandard and psychological deviation of the user are calculated through comparison, so that the conclusion of the user state information is obtained.
And S303, presenting the user state information.
The user state information conclusion of the deviation of the user in action and psychology obtained through comparison and calculation is displayed through the intelligent mobile terminal, so that the user can know the state of the user, for example, which actions are not standard, which fluctuation appears in psychology and emotion, and the fluctuation appears at which step, and the like, and the user can adjust and improve in a targeted manner.
Referring to fig. 4, fig. 4 is a flowchart illustrating a second embodiment of a motion data analysis method of an intelligent mobile terminal according to the present invention.
S401, user training information sent by the mobile electronic equipment is received.
S402, matching the user training information with the database model, comparing and calculating the user state information, and providing an instructive suggestion according to the user state information.
In this embodiment, the intelligent mobile terminal not only compares and calculates the user state information, but also proposes an instructive suggestion according to the user state information, for example, when a certain action of the user is not enough standard, proposes a suggestion how the user should make the standard. In another example, if the user is emotional unstable and is prone to stress, it is proposed how to improve and avoid the stress and unstable mood.
And S403, presenting the user state information and guiding suggestions.
The instructive suggestions at least comprise exercise action instruction suggestions and psychological instruction suggestions, so that the user can know the state condition of the user from at least two aspects of exercise action and psychology, and can obtain instructions on the two aspects, the experience of a private coach can be brought to the user, the user can know the characteristics and the defects of the user more comprehensively and accurately, correction or targeted training is carried out, and further the improvement can be obtained more quickly.
Referring to fig. 5 and 6, fig. 5 is a schematic structural diagram of a mobile electronic device according to an embodiment of the present invention; fig. 6 is a schematic structural diagram of another embodiment of the mobile electronic device of the present invention.
The mobile electronic device of the embodiment includes an external data acquisition module 51, a physical sign data acquisition module 52, a calculation module 53 and a first communication module 54.
The in-vitro data acquisition module 51 is configured to monitor in-vitro data of the user to obtain body state information of the user.
Specifically, the in-vitro data of the user includes, but is not limited to, ambient air pressure, humidity, a body surface temperature of the user, a motion track, a position and the like, so as to obtain body state information of the user, such as a motion condition, an environmental change, a position change and the like. The monitoring of motion conditions such as motion trail and position change in the in vitro data can acquire the motion condition, the motion distance and the motion details through a three-dimensional motion sensor of a G-sensor or a GPS.
The sign data acquisition module 52 is configured to monitor sign data of the user to obtain mental state information of the user.
For example, the physical sign data of the user includes, but is not limited to, biological data such as heart rate, blood pressure, etc., and may be monitored by an electrocardiograph sensor, an electromyogram sensor, a body temperature sensor, a brain wave sensor, etc., and the inclination change of the user is sensed by electroencephalogram or electrocardiograph, etc., so as to obtain the mental state information.
The calculation module 53 is connected to the in vitro data acquisition module 51 and the physical sign data acquisition module 52, and is configured to perform calculation according to the physical state information and the mental state information to obtain the user training information.
For example, the calculation module 53 calculates the movement distance of the user from the position change data in the body state information, and determines the movement information of the user by calculating the movement trajectory. The mental state information, such as heart rate and blood pressure, is calculated to calculate the change of the emotion of the user, so that the mental information such as the stress degree of the user can be judged. So that the user training information about the movement and the psychology of the user in the training process can be obtained.
The first communication module 54 is connected to the calculation module 53, and is configured to send the user training information to the intelligent mobile terminal. The transmission mode can be a local area network or wide area network communication information transmission based on a TCP/IP protocol, a Bluetooth, infrared, WiFi, Zigbee, FM and other wireless direct connection transmission modes between equipment and the like.
In another embodiment, the mobile electronic device further comprises a storage module 55, as shown in fig. 6, the storage module 55 is connected to the calculation module 53 for storing the training information of the user, so that the calculated result of the monitored data can be stored, thereby facilitating the later statistical analysis of the improvement of the exercise state and the psychological state of the user.
Referring to fig. 7, fig. 7 is a schematic structural diagram of an intelligent mobile terminal according to an embodiment of the present invention.
The mobile-only terminal of the embodiment includes a second communication module 71, an analysis and calculation module 72, and a content presentation module 73.
The second communication module 71 is configured to receive user training information sent by the mobile electronic device.
Specifically, the information transmission mode may be a wireless and direct transmission mode such as a local area network or a wide area network communication based on a TCP/IP protocol, bluetooth between devices, infrared, WiFi, Zigbee, FM, and the like.
The analysis and calculation module 72 is connected to the second communication module 71, and is configured to match the user training information with the database model, and calculate user status information.
Specifically, the intelligent mobile terminal further includes a storage module (not shown), in which standard motion models of various motions and standard data of psychological state information in normal psychology are stored in advance, and after the second communication module 71 receives the user training information, the analysis and calculation module 72 matches the user training information with the database model, and obtains the user state information, such as the user motion standard condition, the user psychological condition, and the like, through comparison and calculation. For example, when a user plays a table tennis, the mobile electronic device calculates the monitored data of the motion trajectory, the heart rate, the blood pressure and the like of the left hand and the right hand of the user to obtain user training information, and after the intelligent mobile terminal receives the information, the analysis and calculation module 72 matches the information with a standard motion model prestored in the database, and compares and calculates which motions of the user are not standard and psychological deviation, so as to draw a conclusion of the user state information.
The content presentation module 73 is connected to the analysis calculation module 72 for presenting the user status information.
The user status information obtained by the comparison and calculation of the analysis and calculation module 72 is displayed by the content display module 73, so that the user can know the own status, such as which actions are not standard, which fluctuations occur in the aspects of psychology and emotion, and which step the fluctuations occur, and the like, so that the user can adjust and improve the user in a targeted manner.
In another embodiment, the analysis calculation module 72 is further configured to provide instructional advice based on the user status information, and the content presentation module 73 is further configured to present instructional advice, the targeted advice including at least athletic activity instructional advice and psychological instructional advice.
Referring to fig. 8, fig. 9 and fig. 10, fig. 8 is a schematic flow chart of a system for analyzing motion data according to the present invention; FIG. 9 is a schematic side view of a user playing a table tennis; fig. 10 is a schematic view showing a front state of a user playing a table tennis.
For example, the mobile electronic device of the present invention is an intelligent electronic bracelet, which can provide significant assistance to athletes such as billiards, shooting, archery, and the like. This embodiment takes a right-handed billiard as an example, and explains the whole process.
S801, wearing the intelligent electronic bracelet.
The intelligent electronic bracelets in the embodiment are a pair, and the left wrist and the right wrist are respectively worn by one. The two bracelets contain the same components, but in the use process, the left and right wearing bracelet, the left bracelet 91 and the right bracelet 92 need to be distinguished, see fig. 9.
And S802, recording a training process.
During the training process, two types of data are mainly recorded:
A. the emotional changes of athletes: biological data such as athlete's heart rate, blood pressure are recorded through the sign data acquisition module in left hand bracelet 91 and right hand bracelet 92, judge mental state information such as athlete's nervous degree.
B. Athlete posture stability:
(1) during aiming and ball striking. Left hand stability and its importance. Through the three-dimensional motion sensor in the left hand bracelet 91, judge that the sportsman aims and hits the ball in-process, the stability of pillow hand (left hand). In this process, the subtle movements of the occipital hand (left hand) will be recorded, see fig. 10.
(2) During the aiming process, the right hand carries out the club transportation and then hits the ball. Through the three-dimensional motion sensor in right hand bracelet 92, judge the stability of sportsman's in fortune pole and the ball process of batting, right hand action. In this process, a slight side-to-side swing of the right hand will be recorded. The right hand bracelet 92 records the motion profile α of the right hand, see also fig. 9 and 10. During the right hand swing, 3 position points XYZ are recorded for each swing, and in the course of aiming several swings, sets of XYZ, X ' Y ' Z ', X "Y" Z "… … are generated. The closer the plane generated by each set of position points at point O is, the smaller the left-right shaking is and the more accurate the hitting is. The swing amplitude of the right hand is recorded by the right hand bracelet 92, see fig. 10, the greater the swing amplitude, the greater the force of impact.
And S803, analyzing data.
The intelligent electronic bracelet calculates the recorded data information into user training information and sends the user training information to the intelligent mobile terminal, the intelligent mobile terminal matches the user training information with a standard data model in a database of the intelligent mobile terminal, the user training information conclusion is obtained through comparison calculation, and guiding suggestions in the aspects of motion and psychology are provided.
S504, conclusion and suggestion.
And presenting the user training information conclusion of the athlete and related instructive suggestions on the intelligent mobile terminal.
Referring to fig. 11, fig. 11 is a schematic structural diagram of an entity device of the intelligent electronic device according to the present invention. The apparatus of this embodiment can execute the steps in the method, and for related content, please refer to the detailed description in the method, which is not described herein again.
The intelligent electronic device comprises a first processor 111, a first memory 112 coupled to the first processor 111.
The first memory 112 is used to store an operating system, a set program, and user training information.
The first processor 111 is configured to monitor extracorporeal data of the user to obtain physical status information of the user, and monitor physical sign data of the user to obtain mental status information of the user.
The first processor 111 is further configured to perform a calculation according to the physical state information and the mental state information to obtain the user training information.
The first processor 111 is also configured to send the user training information to the smart mobile terminal.
Referring to fig. 12, fig. 12 is a schematic structural diagram of an intelligent mobile terminal-physical device according to the present invention. The apparatus of this embodiment can execute the steps in the method, and for related content, please refer to the detailed description in the method, which is not described herein again.
The intelligent mobile terminal includes a second processor 121, and a second memory 122 coupled with the second processor 121.
The second memory 122 is used to store operating system, set program and data information.
The second processor 121 is configured to receive user training information sent by the mobile electronic device.
The second processor 121 is further configured to match the user training information with the database model, and calculate user status information.
The second processor 121 is also used for presenting user status information.
In another embodiment, the second processor 121 is further configured to suggest instructional suggestions based on the user state information, and present instructional suggestions.
In the several embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a module or a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a 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 stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be substantially or partially implemented in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In conclusion, the invention can calculate from the body state and the psychological state to obtain more comprehensive user training information, so that the analysis result is more accurate, and the user can more comprehensively and more accurately know the characteristics and the defects of the user, thereby carrying out correction or targeted training and further more quickly obtaining greater improvement.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (2)
1. A mobile electronic device, comprising:
the in-vitro data acquisition module is used for monitoring in-vitro data of the user to obtain body state information of the user;
the physical sign data acquisition module is used for monitoring physical sign data of the user to obtain psychological state information of the user;
the calculation module is connected with the in-vitro data acquisition module and the physical sign data acquisition module and is used for calculating according to the physical state information and the psychological state information to obtain user training information;
the first communication module is connected with the computing module and used for sending the user training information to the intelligent mobile terminal;
the mobile electronic equipment is a pair of intelligent electronic bracelets with communication capacity, independent computing capacity and small sensing equipment, and the left wrist and the right wrist of the mobile electronic equipment are respectively worn by one wrist to assist in billiards, shooting and archery;
wherein, the physical sign data acquisition modules in the left hand ring and the right hand ring are used for recording the heart rate and blood pressure biological data of the athlete and judging the psychological state information such as the tension degree of the athlete,
in the process of aiming and hitting a ball, the stability of the left hand of a player in the process of aiming and hitting the ball is judged through a three-dimensional motion sensor in a left hand ring, in the process of aiming, the right hand carries out rod carrying and then hitting the ball, the stability of the right hand action of the player in the process of carrying and hitting the rod is judged through the three-dimensional motion sensor in the right hand ring, the right hand ring records the motion tangent plane alpha of the right hand, in the process of swinging the right hand, 3 position points XYZ are recorded every time of swinging, in the process of aiming for a plurality of times, a plurality of sets of position points of XYZ, X ' Y ' Z ' and X ' Y ' Z … … are generated, the closer the plane generated by each set of position points at the O point is, the smaller the left-right swinging is meant, the hitting ball is more accurate, the swing amplitude of the right hand ring records the swing amplitude of the right hand, and the larger the swing amplitude is, and.
2. The mobile electronic device of claim 1, further comprising a storage module coupled to the computing module for storing the user training information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610182343.3A CN105852873B (en) | 2016-03-25 | 2016-03-25 | Motion data analysis method, electronic equipment and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610182343.3A CN105852873B (en) | 2016-03-25 | 2016-03-25 | Motion data analysis method, electronic equipment and terminal |
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| Publication Number | Publication Date |
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| CN105852873A CN105852873A (en) | 2016-08-17 |
| CN105852873B true CN105852873B (en) | 2020-12-25 |
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