WO2018120419A1 - Data acquisition method and system based on intelligent platform - Google Patents

Data acquisition method and system based on intelligent platform Download PDF

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Publication number
WO2018120419A1
WO2018120419A1 PCT/CN2017/076021 CN2017076021W WO2018120419A1 WO 2018120419 A1 WO2018120419 A1 WO 2018120419A1 CN 2017076021 W CN2017076021 W CN 2017076021W WO 2018120419 A1 WO2018120419 A1 WO 2018120419A1
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Prior art keywords
user
information
data
motion
parameter information
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PCT/CN2017/076021
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French (fr)
Chinese (zh)
Inventor
刘金鹏
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深圳创维－Rgb电子有限公司
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Publication of WO2018120419A1 publication Critical patent/WO2018120419A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G06V20/42—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items of sport video content

Definitions

  • the present invention relates to the field of intelligent terminal technologies, and in particular, to a data acquisition method and system based on an intelligent platform.
  • the existing user data collection methods are mainly divided into two types, one is a user directly inputting a class, which relies on the user to manually input information. Therefore, the collected information is generally relatively simple, and part of the authenticity is not verifiable.
  • Another kind of collection of user behavior information such as the application software that users often use, the user's preference for movies, music, games, etc., such information is relatively limited to the user content operation reference, and has the suspicion of peeping user privacy.
  • devices that may exist in which one person shares an account such as a smart TV or a home computer, the user data cannot be effectively distinguished.
  • the technical problem to be solved by the present invention is to provide a data acquisition method and system based on an intelligent platform for the deficiencies of the prior art, which can completely collect detailed and accurate information of user information, physical signs, capabilities, and the like, and increase user identity information. Authenticity.
  • An intelligent platform-based data collection method includes:
  • User feature data is generated according to the first parameter information and user information, and the user feature data is bound and stored with the user ID.
  • the intelligent platform-based data collection method wherein the generating the user feature data according to the first parameter information and the user information, and binding the user feature data to the user ID before the storage comprises:
  • the intelligent platform-based data collection method wherein the generating the user feature data according to the first parameter information and the user information, and binding the user feature data to the user ID, specifically includes:
  • Binding the user feature data to the user ID is stored in a database of the smart platform.
  • the intelligent platform-based data collection method wherein the external sensing device acquires motion data of the user performing a preset motion, wherein the preset motion is related to the sports equipment configured by the external sensing device
  • the preset motion is related to the sports equipment configured by the external sensing device
  • the sensor is used to acquire the number of times the user performs the motion within a specified time, and the motion data corresponding to the motion is determined according to the motion level and the number of times.
  • the intelligent platform-based data collection method wherein the generating the second parameter information of the user according to the motion data is specifically:
  • the intelligent platform-based data collection method wherein the capturing a video image of a user performing a specified action by using a pre-configured camera is specifically:
  • the camera Upon receiving the camera start command, the camera is activated and the video image of the user performing the specified action is continuously acquired for a preset period of time.
  • the intelligent platform-based data collection method wherein the identifying the data information of the specified action in the video image, and forming the first parameter information of the user according to all the data information and the indicator information corresponding to the specified action include:
  • An intelligent platform-based data acquisition system includes:
  • a receiving module configured to receive user information input by a user, and allocate a user ID to the user
  • An acquisition module configured to collect, by using a pre-configured camera, a video image of the user performing a specified action
  • An identification module configured to identify data information of a specified action in the video image, and form first parameter information of the user according to all data information and indicator information corresponding to the specified action;
  • the first generating module is configured to generate user feature data according to the first parameter information and the user information, and the user feature data is bound and stored with the user ID.
  • the intelligent platform-based data collection system further includes:
  • An acquiring module configured to acquire, by using an external sensing device, motion data of the user performing a preset motion, where the preset motion corresponds to a sports equipment configured by the external sensing device;
  • a second generating module configured to generate second parameter information of the user according to the motion data
  • the intelligent platform-based data collection system wherein the first generation module specifically includes:
  • a generating unit configured to generate user feature data according to the first parameter information, the second parameter information, and the user information
  • a storage unit configured to store the user feature data and the user ID in a database of the smart platform.
  • the present invention provides an intelligent platform-based data collection method and system, the method comprising: receiving user information input by a user, and assigning a user ID to the user;
  • the configured camera captures the video image of the user performing the specified action; identifies the data information of the specified action in the video image, and forms the first parameter information of the user according to all the data information and the indicator information corresponding to the specified action;
  • User feature data is generated according to the first parameter information and user information, and the user feature data is bound and stored with the user ID.
  • the invention adds the data information of the user to perform the specified action through the camera on the basis of the user filling, and generates the user feature data according to the user filling information and the collected data information, so that the user feature data is more accurate and comprehensive.
  • FIG. 1 is a flowchart of a preferred implementation of an intelligent platform-based data collection method provided by the present invention.
  • FIG. 2 is a schematic structural diagram of an intelligent platform-based data acquisition system provided by the present invention.
  • the present invention provides a data acquisition method and system based on an intelligent platform.
  • the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
  • suffixes such as 'module', 'part' or 'unit' for indicating an element is merely an explanation for facilitating the present invention, and does not have a specific meaning per se. Therefore, 'module', 'part' or 'unit' can be used in combination.
  • FIG. 1 is a flowchart of a preferred embodiment of an intelligent platform-based data collection method according to the present invention. The method includes:
  • S100 Receive user information input by a user, and assign a user ID to the user.
  • the smart platform may be a smart phone or a tablet computer or the like. It may also be composed of a smart terminal for receiving user information input by a user, and a background server for storing the user information and the like.
  • the terminal device and the server may be wired communication or wireless communication.
  • the user information may be divided into two parts, one part is fixed objective information, such as basic information of the user (name, age, gender, weight, etc.); the other part is detection analysis data, and the detection analysis data is used to judge the intelligence of the user. , reaction ability, etc.
  • the detection and analysis data can be obtained by means of answering questions.
  • the obtaining process may be specifically: first, storing a set of corresponding software test questions in the smart platform, and setting a weight of each software test question; and then dividing the software test question into a fixed mixed question bank ( User must answer) and optional professional question bank (user has conditional selection); detection and analysis data determined according to user's test results.
  • the user ID is a unique identifier of the user, and the user and the related information of the user may be uniquely determined according to the user identifier.
  • the user ID may be the ID number of the user, or may be a code randomly assigned to the user when the user information is received, such as 10001.
  • the user information input by the user may be manually input by the user through the intelligent platform, or may be sent by an external device that communicates with the intelligent platform.
  • the camera may be configured by the smart platform itself, or may be configured by other devices that communicate with the smart platform. That is to say, the intelligent platform may collect the video image of the user performing the specified action, or collect the video image of the user performing the specified action through other devices.
  • the specified action may be push-ups, in-situ running, or squatting, and each specified action may correspond to one indicator information.
  • the specified action is push-up, and the corresponding indicator is endurance; the specified action is running in place, and the corresponding indicator is speed capability. That is to say, a comparison table of specified action and indicator information may exist in advance in the smart platform, so that the corresponding indicator information can be quickly determined according to the specified action.
  • a plurality of video images of a specified action can be adopted by the camera, so that the user's information can be more comprehensively obtained.
  • the plurality of specified actions may be within one video image or within multiple video images. That is, more than ten designated actions may correspond to one video image, and information of each specified action may be identified according to the video image; or each specified action may correspond to one video image, and each video image is separately identified for each specified action. Information.
  • the camera starts to capture a video image when receiving the user to start performing the specified action.
  • the video image of the user performing the specified action by using the pre-configured camera is specifically: when the camera is received.
  • the camera is activated and the video image of the user performing the specified action is continuously acquired for a preset period of time.
  • the preset time period is a duration of a preset video image, such as 5 minutes, 8 minutes, and the like.
  • the data information refers to the number of specified actions included in the video image. That is to say, when the video image is acquired, the specified action in the video image is first identified, and the number of the specified actions is recognized to obtain the data information of the specified action. After the data information is obtained, the indicator corresponding to the specified action is searched in the comparison table of the preset indicator and the specified action according to the specified action, and the indicator information of the indicator is calculated according to the data information to form the user.
  • the first parameter information is to say, when the video image is acquired, the specified action in the video image is first identified, and the number of the specified actions is recognized to obtain the data information of the specified action. After the data information is obtained, the indicator corresponding to the specified action is searched in the comparison table of the preset indicator and the specified action according to the specified action, and the indicator information of the indicator is calculated according to the data information to form the user.
  • the first parameter information is to say, when the video image is acquired, the specified action in the video image is first identified, and the number of the specified actions is recognized to
  • the identifying the data information of the specified action in the video image, and forming the first parameter information of the user according to the data information and the indicator information corresponding to the specified action specifically includes:
  • the designated action is designated as push-up and in-situ running.
  • the camera starts to collect the number f1 of push-ups of the user in the corresponding time period t1 for a specified period of time to calculate a set of endurance values; and calculates the total number of in-situ running times p1 of the user in the time period t1 for calculating A set of user speed values.
  • a set of endurance attribute data for the user should be f1/t1
  • a set of speed attribute data should be p1/t1.
  • the collection time of the push-ups may be the same as or different from the collection time of the in-situ running. In this embodiment, the same is taken as an example.
  • the first parameter information and the user information are acquired, the first parameter information and the user information are compared to determine whether the same is present, and if the same is present, the first parameter information and the user information are combined to form User feature data, and the user feature data is bound to the user ID, so that the user feature data can be quickly obtained according to the user ID. If the same information exists, the information of the same item is respectively obtained, the last information of the same item is determined by weighted averaging, and then the first parameter information and the user information are combined, and the same item uses the last information to form user feature data.
  • the generating the user feature data according to the first parameter information and the user information, and the user feature data is stored in the binding with the user ID may further include:
  • H20 Generate second parameter information of the user according to the motion data.
  • the external sensing device is directly configured with a sensor's sports equipment, and the sensor transmits the collected data to the intelligent platform.
  • the preset motion is a motion performed by a user operating the sports equipment configuring the sensor.
  • the sports equipment may be a grip, a weight scale, an arm, a hit capability detector, or the like.
  • the arm force is taken as an example for illustration.
  • the arm design intelligent counting module can record the number of movements q of the user specified time and send the data to the intelligence.
  • the platform, the intelligent platform gets a set of strength analysis data should be l*q, and the user's strength index is obtained according to the data.
  • the external sensing device is used to acquire the motion data of the user performing the preset motion, where the preset motion corresponds to the sports equipment configured by the external sensing device, specifically:
  • the generating the second parameter information of the user according to the motion data is specifically:
  • the step S400, the generating the user feature data according to the first parameter information and the user information, and binding the user feature data to the user ID specifically includes:
  • S401 Generate user feature data according to the first parameter information, the second parameter information, and the user information.
  • the user feature data is bound to the user ID and stored in a database of the smart platform.
  • a set of data information of the user including several dimensions may be acquired, and then the lowest value, the highest value, and the average value are calculated according to the stored reference data. value.
  • a formula for the data conversion percentage system is formulated, and the obtained user data is converted into a more intuitive and clear percentage system corresponding score; each user generates a database corresponding to the multi-dimensional parameters to form the user's characteristic data.
  • the data features can be stored as formed in Table 1.
  • the invention also provides an intelligent platform-based data acquisition system, as shown in FIG. 2, which includes:
  • the receiving module 100 is configured to receive user information input by a user, and allocate a user ID to the user;
  • the collecting module 200 is configured to collect, by using a pre-configured camera, a video image that the user performs a specified action;
  • the identification module 300 is configured to identify data information of the specified action in the video image, and form first parameter information of the user according to all the data information and the indicator information corresponding to the specified action;
  • the first generation module 400 is configured to generate user feature data according to the first parameter information and the user information, and the user feature data is bound and stored with the user ID.
  • the intelligent platform-based data collection system further includes:
  • An acquiring module configured to acquire, by using an external sensing device, motion data of the user performing a preset motion, where the preset motion corresponds to a sports equipment configured by the external sensing device;
  • a second generating module configured to generate second parameter information of the user according to the motion data
  • the intelligent platform-based data collection system wherein the first generation module specifically includes:
  • a generating unit configured to generate user feature data according to the first parameter information, the second parameter information, and the user information
  • a storage unit configured to store the user feature data and the user ID in a database of the smart platform.
  • the disclosed systems and methods may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the modules 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 each embodiment of the present invention may be integrated into one processing unit, or 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 hardware plus software functional units.
  • the above-described integrated unit implemented in the form of a software functional unit can be stored in a computer readable storage medium.
  • the above software functional unit is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform the methods of the various embodiments of the present invention. Part of the steps.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, and a read only memory (Read-Only) Memory, ROM, random access memory (RAM), disk or optical disc, and other media that can store program code.

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Abstract

The present invention discloses a data acquisition method and system based on an intelligent platform, the method comprising: receiving user information inputted by a user; using a pre-configured camera to acquire a video image of the user performing a specified action; identifying data information of the specified action in the video image, forming first parameter information of the user according to all of the data information and index information corresponding to the specified action; and obtaining second parameter information of the user via an external sensing device and generating user feature data according to the first parameter information, the second parameter information and the user information. On the basis of information filled in by the user, and by including a camera for acquiring the data information of the specified action performed by the user and the motion data acquired by the external sensing device, the present invention is able to generate the user feature data by combining the user-supplied information, the data information and the motion data, such that the user feature data is more accurate and comprehensive.

Description

一种基于智能平台的数据采集方法及系统  Data acquisition method and system based on intelligent platform
技术领域 Technical field
本发明涉及智能终端技术领域，特别涉及一种基于智能平台的数据采集方法及系统。 The present invention relates to the field of intelligent terminal technologies, and in particular, to a data acquisition method and system based on an intelligent platform.
背景技术 Background technique
现有的用户数据采集方法主要分为两种，一种是用户直接输入类，其依赖用户手动输入信息。从而采集的信息一般比较简单、部分真实性不可验证。另一种采集用户行为信息，如用户经常使用的应用软件，用户对于影视、音乐、游戏等的喜好程度等，此类信息比较模糊仅限于用户内容运营参考，且有窥视用户隐私之嫌。另外对于可能存在的多人公用一个账户的设备如智能电视、家庭电脑等设备，无法有效区分出用户数据。 The existing user data collection methods are mainly divided into two types, one is a user directly inputting a class, which relies on the user to manually input information. Therefore, the collected information is generally relatively simple, and part of the authenticity is not verifiable. Another kind of collection of user behavior information, such as the application software that users often use, the user's preference for movies, music, games, etc., such information is relatively limited to the user content operation reference, and has the suspicion of peeping user privacy. In addition, for devices that may exist in which one person shares an account, such as a smart TV or a home computer, the user data cannot be effectively distinguished.
因而现有技术还有待改进和提高。 Therefore, the prior art has yet to be improved and improved.
发明内容 Summary of the invention
本发明要解决的技术问题在于，针对现有技术的不足，提供一种基于智能平台的数据采集方法及系统，可完整收集用户信息、体征、能力等多方面详细准确信息，增加用户身份信息的真实性。 The technical problem to be solved by the present invention is to provide a data acquisition method and system based on an intelligent platform for the deficiencies of the prior art, which can completely collect detailed and accurate information of user information, physical signs, capabilities, and the like, and increase user identity information. Authenticity.
为了解决上述技术问题，本发明所采用的技术方案如下： In order to solve the above technical problem, the technical solution adopted by the present invention is as follows:
一种基于智能平台的数据采集方法，其包括： An intelligent platform-based data collection method includes:
接收用户输入的用户信息，并为所述用户分配一用户ID； Receiving user information input by the user, and assigning a user ID to the user;
利用预先配置的摄像头采集所述用户执行指定动作的视频图像； Acquiring, by using a pre-configured camera, a video image of the user performing a specified action;
识别所述视频图像中指定动作的数据信息，并根据所有数据信息及所述指定动作对应的指标信息形成所述用户的第一参数信息； Identifying data information of the specified action in the video image, and forming first parameter information of the user according to all data information and indicator information corresponding to the specified action;
根据所述第一参数信息和用户信息生成用户特征数据，并所述用户特征数据与所述用户ID绑定存储。 User feature data is generated according to the first parameter information and user information, and the user feature data is bound and stored with the user ID.
所述基于智能平台的数据采集方法，其中，所述根据所述第一参数信息和用户信息生成用户特征数据，并所述用户特征数据与所述用户ID绑定存储之前还包括： The intelligent platform-based data collection method, wherein the generating the user feature data according to the first parameter information and the user information, and binding the user feature data to the user ID before the storage comprises:
利用外部传感设备获取所述用户执行预设运动的运动数据，其中，所述预设运动与所述外部传感设备配置的运动器材相对应； Acquiring, by the external sensing device, the motion data of the user performing the preset motion, wherein the preset motion corresponds to the sports equipment configured by the external sensing device;
根据所述运动数据生成所述用户的第二参数信息。 Generating second parameter information of the user according to the motion data.
所述基于智能平台的数据采集方法，其中，所述根据所述第一参数信息和用户信息生成用户特征数据，并所述用户特征数据与所述用户ID绑定存储具体包括： The intelligent platform-based data collection method, wherein the generating the user feature data according to the first parameter information and the user information, and binding the user feature data to the user ID, specifically includes:
根据所述第一参数信息、第二参数信息以及用户信息生成用户特征数据； Generating user feature data according to the first parameter information, the second parameter information, and the user information;
将所述用户特征数据与所述用户ID绑定的存储于所述智能平台的数据库内。 Binding the user feature data to the user ID is stored in a database of the smart platform.
所述基于智能平台的数据采集方法，其中，所述利用外部传感设备获取所述用户执行预设运动的运动数据，其中，所述预设运动与所述外部传感设备配置的运动器材相对应具体为： The intelligent platform-based data collection method, wherein the external sensing device acquires motion data of the user performing a preset motion, wherein the preset motion is related to the sports equipment configured by the external sensing device The corresponding details are:
确定所述外部传感设备配置的运动器材对应的运动，并获取运动器材设置的运动等级； Determining a motion corresponding to the sports equipment configured by the external sensing device, and obtaining a motion level set by the sports equipment;
利用所述传感器获取指定时间内用户执行所述运动的次数，并根据所述运动等级和次数确定所述运动对应的运动数据。 The sensor is used to acquire the number of times the user performs the motion within a specified time, and the motion data corresponding to the motion is determined according to the motion level and the number of times.
所述基于智能平台的数据采集方法，其中，所述根据所述运动数据生成所述用户的第二参数信息具体为： The intelligent platform-based data collection method, wherein the generating the second parameter information of the user according to the motion data is specifically:
根据所述运动等级和次数确定所述运行对应的运动指标的数据信息，并将所述运动指标的数据信息记为第二参数信息。 Determining, according to the motion level and the number of times, data information of the motion indicator corresponding to the operation, and recording the data information of the motion indicator as the second parameter information.
所述基于智能平台的数据采集方法，其中，所述利用预先配置的摄像头采集用户执行指定动作的视频图像具体为： The intelligent platform-based data collection method, wherein the capturing a video image of a user performing a specified action by using a pre-configured camera is specifically:
在接收到摄像头启动指令时，启动摄像头并在预设时间段内连续采集用户执行指定动作的视频图像。 Upon receiving the camera start command, the camera is activated and the video image of the user performing the specified action is continuously acquired for a preset period of time.
所述基于智能平台的数据采集方法，其中，所述识别所述视频图像中指定动作的数据信息，并根据所有数据信息及所述指定动作对应的指标信息形成所述用户的第一参数信息具体包括： The intelligent platform-based data collection method, wherein the identifying the data information of the specified action in the video image, and forming the first parameter information of the user according to all the data information and the indicator information corresponding to the specified action include:
解析所述视频图像，获取所述视频图像包含的指定动作的个数； Parsing the video image to obtain a number of specified actions included in the video image;
根据所述预设时间段的时长以及所述个数确定所述指定动作对应的运动指标的数据信息； Determining, according to the duration of the preset time period and the number of the data information of the motion indicator corresponding to the specified action;
根据所述数据信息生成所述用户的第一参数信息。 Generating first parameter information of the user according to the data information.
一种基于智能平台的数据采集系统，其包括： An intelligent platform-based data acquisition system includes:
接收模块，用于接收用户输入的用户信息，并为所述用户分配一用户ID； a receiving module, configured to receive user information input by a user, and allocate a user ID to the user;
采集模块，用于利用预先配置的摄像头采集所述用户执行指定动作的视频图像； An acquisition module, configured to collect, by using a pre-configured camera, a video image of the user performing a specified action;
识别模块，用于识别所述视频图像中指定动作的数据信息，并根据所有数据信息及所述指定动作对应的指标信息形成所述用户的第一参数信息； An identification module, configured to identify data information of a specified action in the video image, and form first parameter information of the user according to all data information and indicator information corresponding to the specified action;
第一生成模块，用于根据所述第一参数信息和用户信息生成用户特征数据，并所述用户特征数据与所述用户ID绑定存储。 The first generating module is configured to generate user feature data according to the first parameter information and the user information, and the user feature data is bound and stored with the user ID.
所述基于智能平台的数据采集系统，其还包括： The intelligent platform-based data collection system further includes:
获取模块，用于利用外部传感设备获取所述用户执行预设运动的运动数据，其中，所述预设运动与所述外部传感设备配置的运动器材相对应； An acquiring module, configured to acquire, by using an external sensing device, motion data of the user performing a preset motion, where the preset motion corresponds to a sports equipment configured by the external sensing device;
第二生成模块，用于根据所述运动数据生成所述用户的第二参数信息 a second generating module, configured to generate second parameter information of the user according to the motion data
所述基于智能平台的数据采集系统，其中，所述第一生成模块具体包括： The intelligent platform-based data collection system, wherein the first generation module specifically includes:
生成单元，用于根据所述第一参数信息、第二参数信息以及用户信息生成用户特征数据； a generating unit, configured to generate user feature data according to the first parameter information, the second parameter information, and the user information;
存储单元，用于将所述用户特征数据与所述用户ID绑定的存储于所述智能平台的数据库内。 And a storage unit, configured to store the user feature data and the user ID in a database of the smart platform.
有益效果：与现有技术相比，本发明提供了一种基于智能平台的数据采集方法及系统，所述方法包括：接收用户输入的用户信息，并为所述用户分配一用户ID；利用预先配置的摄像头采集所述用户执行指定动作的视频图像；识别所述视频图像中指定动作的数据信息，并根据所有数据信息及所述指定动作对应的指标信息形成所述用户的第一参数信息；根据所述第一参数信息和用户信息生成用户特征数据，并所述用户特征数据与所述用户ID绑定存储。本发明通过在用户填写的基础上，增设通过摄像头采集用户执行指定动作的数据信息，根据所述用户填写信息和采集数据信息生成用户特征数据，使得所述用户特征数据更加准确和全面。 Advantageous Effects: Compared with the prior art, the present invention provides an intelligent platform-based data collection method and system, the method comprising: receiving user information input by a user, and assigning a user ID to the user; The configured camera captures the video image of the user performing the specified action; identifies the data information of the specified action in the video image, and forms the first parameter information of the user according to all the data information and the indicator information corresponding to the specified action; User feature data is generated according to the first parameter information and user information, and the user feature data is bound and stored with the user ID. The invention adds the data information of the user to perform the specified action through the camera on the basis of the user filling, and generates the user feature data according to the user filling information and the collected data information, so that the user feature data is more accurate and comprehensive.
附图说明 DRAWINGS
图1为本发明提供的基于智能平台的数据采集方法较佳实施的流程图。 FIG. 1 is a flowchart of a preferred implementation of an intelligent platform-based data collection method provided by the present invention.
图2为本发明提供的基于智能平台的数据采集系统的结构原理图。 2 is a schematic structural diagram of an intelligent platform-based data acquisition system provided by the present invention.
具体实施方式 detailed description
本发明提供一种基于智能平台的数据采集方法及系统，为使本发明的目的、技术方案及效果更加清楚、明确，以下参照附图并举实施例对本发明进一步详细说明。应当理解，此处所描述的具体实施例仅用以解释本发明，并不用于限定本发明。 The present invention provides a data acquisition method and system based on an intelligent platform. The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
本发明中，使用用于表示元件的诸如'模块'、'部件'或'单元'的后缀仅为了有利于本发明的说明，其本身并没有特定的意义。因此，'模块'、'部件'或'单元'可以混合地使用。 In the present invention, the use of suffixes such as 'module', 'part' or 'unit' for indicating an element is merely an explanation for facilitating the present invention, and does not have a specific meaning per se. Therefore, 'module', 'part' or 'unit' can be used in combination.
下面结合附图，通过对实施例的描述，对发明内容作进一步说明。 The contents of the invention will be further described by the following description of embodiments with reference to the accompanying drawings.
请参照图1，图1为本发明提供的基于智能平台的数据采集方法的较佳实施例的流程图。所述方法包括： Please refer to FIG. 1. FIG. 1 is a flowchart of a preferred embodiment of an intelligent platform-based data collection method according to the present invention. The method includes:
S100 、接收用户输入的用户信息，并为所述用户分配一用户ID。 S100. Receive user information input by a user, and assign a user ID to the user.
具体地，所述智能平台可以为智能手机或平板电脑等。其也可以有智能终端和后台服务器构成，所述智能终端用于接收用户输入的用户信息，所述服务器用户存储所述用户信息等。所述终端设备与所述服务器之间可以是有线通信也可以是无线通信。 Specifically, the smart platform may be a smart phone or a tablet computer or the like. It may also be composed of a smart terminal for receiving user information input by a user, and a background server for storing the user information and the like. The terminal device and the server may be wired communication or wireless communication.
所述用户信息可以分为两部分，一部分是固定客观信息，如用户的基本信息（姓名、年龄、性别以及体重等）；另一方部分是检测分析数据，所述检测分析数据以判断用户的智力、反应能力等。所述检测分析数据可以采用答题的方式获取。这里以智力检测为例，对检测分析数据的获取做详细说明。所述获取过程具体可为：首先，在所述智能平台内预设存储几套相应的软件测试题，并设置每个软件测试题的权重；然后将所述软件测试题划分为固定混合题库（用户必答）和可选性专业题库（用户有条件选择）；根据用户的测试结果确定的检测分析数据。例如，固定题库10套，用户任选一套权重60%，最后得分f1；任选专业题库，例如分为文学艺术类、理工科技类、地理自然科学类、体育运动类等等，每个分类再有10套基础题库，用户任选一类做答权重40%,最后得分f2；则经过测试用户的得分应为F=0.6*f1+0.4f2。值得说明的，所述题库支持题库周期性更新及各题库间试题的随机分配，这样可以避免用户记忆的问题。 The user information may be divided into two parts, one part is fixed objective information, such as basic information of the user (name, age, gender, weight, etc.); the other part is detection analysis data, and the detection analysis data is used to judge the intelligence of the user. , reaction ability, etc. The detection and analysis data can be obtained by means of answering questions. Here, taking intelligence detection as an example, the acquisition of detection and analysis data is described in detail. The obtaining process may be specifically: first, storing a set of corresponding software test questions in the smart platform, and setting a weight of each software test question; and then dividing the software test question into a fixed mixed question bank ( User must answer) and optional professional question bank (user has conditional selection); detection and analysis data determined according to user's test results. For example, 10 sets of fixed question banks, users can choose a set of weights of 60%, and finally score f1; optional professional question bank, for example, divided into literature and art, science and technology, geography, science, sports, etc., each classification There are 10 sets of basic question banks. The user chooses one class to make a weight of 40%, and finally scores f2. The score of the tested user should be F=0.6*f1+0.4f2. It is worth noting that the question bank supports the periodic update of the question bank and the random assignment of the questions between the questions, so as to avoid the problem of user memory.
所述用户ID为所述用户的唯一标识，根据所述用户标识可以唯一确定所述用户以及所述用户的相关信息。所述用户ID可以是用户的身份证号码，也可以是在接收到所述用户信息时随机为所述用户分配的一个编码，如，10001等。所述接收用户输入的用户信息可以是用户通过智能平台手动输入的，也可以是接收与所述智能平台通讯的外部设备发送的。 The user ID is a unique identifier of the user, and the user and the related information of the user may be uniquely determined according to the user identifier. The user ID may be the ID number of the user, or may be a code randomly assigned to the user when the user information is received, such as 10001. The user information input by the user may be manually input by the user through the intelligent platform, or may be sent by an external device that communicates with the intelligent platform.
S200 、利用预先配置的摄像头采集所述用户执行指定动作的视频图像。 S200. Acquire, by using a pre-configured camera, a video image in which the user performs a specified action.
具体地，所述摄像头可以是所述智能平台自身配置的，也可以是与所述智能平台通信的其他设备配置的。也就是说，所述智能平台可以自行采集用户执行指定动作的视频图像，也可以通过其他设备采集用户执行指定动作的视频图像。 Specifically, the camera may be configured by the smart platform itself, or may be configured by other devices that communicate with the smart platform. That is to say, the intelligent platform may collect the video image of the user performing the specified action, or collect the video image of the user performing the specified action through other devices.
所述指定动作可以为俯卧撑、原地跑或者深蹲等，并且每个指定动作可以对应一个指标信息。例如，所述指定动作为俯卧撑，其对应的指标为耐力；所述指定动作为原地跑，其对应的指标为速度能力。也就是说，所述智能平台内可以预先存在指定动作与指标信息的对照表，以使得根据所述指定动作可以快速确定其对应的指标信息。 The specified action may be push-ups, in-situ running, or squatting, and each specified action may correspond to one indicator information. For example, the specified action is push-up, and the corresponding indicator is endurance; the specified action is running in place, and the corresponding indicator is speed capability. That is to say, a comparison table of specified action and indicator information may exist in advance in the smart platform, so that the corresponding indicator information can be quickly determined according to the specified action.
在本实施例中，可以通过所述摄像头采用多个指定动作的视频图像，进而可以更加全面的获取用户的信息。所述多个指定动作可以在一个视频图像内，也可以在多个视频图像内。即可以十多个指定动作对应一个视频图像，根据所述视频图像识别出每个指定动作的信息；也可以是每个指定动作对应一个视频图像，分别识别每个视频图像来得多每个指定动作的信息。 In this embodiment, a plurality of video images of a specified action can be adopted by the camera, so that the user's information can be more comprehensively obtained. The plurality of specified actions may be within one video image or within multiple video images. That is, more than ten designated actions may correspond to one video image, and information of each specified action may be identified according to the video image; or each specified action may correspond to one video image, and each video image is separately identified for each specified action. Information.
在本实施例中，所述摄像头在接收到用户开始执行指定动作时才开始拍摄视频图像，相应的，所述利用预先配置的摄像头采集用户执行指定动作的视频图像具体为：在接收到摄像头启动指令时，启动摄像头并在预设时间段内连续采集用户执行指定动作的视频图像。其中，所述预设时间段为预先设置的拍摄视频图像的时长，如，5分钟，8分钟等。 In this embodiment, the camera starts to capture a video image when receiving the user to start performing the specified action. Correspondingly, the video image of the user performing the specified action by using the pre-configured camera is specifically: when the camera is received. When instructing, the camera is activated and the video image of the user performing the specified action is continuously acquired for a preset period of time. The preset time period is a duration of a preset video image, such as 5 minutes, 8 minutes, and the like.
S300 、识别所述视频图像中指定动作的数据信息，并根据所有数据信息及所述指定动作对应的指标信息形成所述用户的第一参数信息。 S300 And identifying data information of the specified action in the video image, and forming first parameter information of the user according to all the data information and the indicator information corresponding to the specified action.
具体地，所述数据信息指的是所述视频图像内包含的指定动作的个数。也就是说，当获取到视频图像时，首先识别所述视频图像内的指定动作，再识别所述指定动作的个数以得到所述指定动作的数据信息。在获取到所述数据信息后，根据所述指定动作在预设指标与指定动作的对照表内查找所述指定动作对应的指标，在根据数据信息计算所述指标的指标信息进而形成所述用户的第一参数信息。 Specifically, the data information refers to the number of specified actions included in the video image. That is to say, when the video image is acquired, the specified action in the video image is first identified, and the number of the specified actions is recognized to obtain the data information of the specified action. After the data information is obtained, the indicator corresponding to the specified action is searched in the comparison table of the preset indicator and the specified action according to the specified action, and the indicator information of the indicator is calculated according to the data information to form the user. The first parameter information.
示例性的，所述识别所述视频图像中指定动作的数据信息，并根据所有数据信息及所述指定动作对应的指标信息形成所述用户的第一参数信息具体包括： Illustratively, the identifying the data information of the specified action in the video image, and forming the first parameter information of the user according to the data information and the indicator information corresponding to the specified action, specifically includes:
S301 、解析所述视频图像，获取所述视频图像包含的指定动作的个数； S301. Parse the video image, and obtain the number of specified actions included in the video image.
S302 、根据所述预设时间段的时长以及所述个数确定所述指定动作对应的运动指标的数据信息； S302. Determine, according to the duration of the preset time period and the number of the data information of the motion indicator corresponding to the specified action;
S303 、根据所述数据信息生成所述用户的第一参数信息。 S303. Generate first parameter information of the user according to the data information.
具体地，为了进一步说明所述第一参数信息的形成过程，这里以采集用户的耐力和速度能力为例，将指定动作指定为俯卧撑和原地跑。所述摄像头在指定时间段开启开始采集用户在相应时间段t1内的俯卧撑的数量f1,用以计算一组耐力值；以用户在时间段t1内的原地跑动作总次数p1,用以计算一组用户速度值。从而，得到所述用户的一组耐力属性数据应为f1/t1,一组速度属性数据应为p1/t1。当然，可以同时获取几组检验用户肢体协调性的指定动作的视频图像，以根据所述视频图像确定用户的参考数值。值得说明的，所述俯卧撑的采集时间与原地跑的采集时间可以相同，也可以不同。这本实施例中，以相同为例加以说明的。 Specifically, in order to further describe the formation process of the first parameter information, here, taking the endurance and speed capability of the user as an example, the designated action is designated as push-up and in-situ running. The camera starts to collect the number f1 of push-ups of the user in the corresponding time period t1 for a specified period of time to calculate a set of endurance values; and calculates the total number of in-situ running times p1 of the user in the time period t1 for calculating A set of user speed values. Thus, a set of endurance attribute data for the user should be f1/t1, and a set of speed attribute data should be p1/t1. Of course, several sets of video images of the specified actions for verifying the user's physical coordination can be acquired simultaneously to determine the reference value of the user based on the video images. It should be noted that the collection time of the push-ups may be the same as or different from the collection time of the in-situ running. In this embodiment, the same is taken as an example.
S400 、根据所述第一参数信息和用户信息生成用户特征数据，并所述用户特征数据与所述用户ID绑定存储。 S400 Generating user feature data according to the first parameter information and the user information, and the user feature data is bound to the user ID for storage.
具体地，在获取第一参数信息和用户信息之后，将所述第一参数信息和用户信息进行对比，判断是否存在相同的，如果为存在相同的，则将第一参数信息和用户信息合并形成用户特征数据，并将所述用户特征数据与用户ID绑定存储，这样可以根据用户ID快速获取用户特征数据。如果存在相同的，则分别获取相同项的信息，采用加权平均的方式确定所述相同项的最后信息，然后再将第一参数信息和用户信息合并，相同项采用最后信息而形成用户特征数据。 Specifically, after the first parameter information and the user information are acquired, the first parameter information and the user information are compared to determine whether the same is present, and if the same is present, the first parameter information and the user information are combined to form User feature data, and the user feature data is bound to the user ID, so that the user feature data can be quickly obtained according to the user ID. If the same information exists, the information of the same item is respectively obtained, the last information of the same item is determined by weighted averaging, and then the first parameter information and the user information are combined, and the same item uses the last information to form user feature data.
在本发明的另一个实施例中，所述根据所述第一参数信息和用户信息生成用户特征数据，并所述用户特征数据与所述用户ID绑定存储之前还可以包括： In another embodiment of the present invention, the generating the user feature data according to the first parameter information and the user information, and the user feature data is stored in the binding with the user ID, may further include:
H10 、利用外部传感设备获取所述用户执行预设运动的运动数据，其中，所述预设运动与所述外部传感设备配置的运动器材相对应； H10 And acquiring, by the external sensing device, the motion data of the user performing the preset motion, wherein the preset motion corresponds to the sports equipment configured by the external sensing device;
H20 、根据所述运动数据生成所述用户的第二参数信息。 H20. Generate second parameter information of the user according to the motion data.
具体地，所述外部传感设备直接的配置有传感器的运动器材，并且所述传感器将采集的数据发送至所述智能平台。所述预设运动是用户操作所述配置传感器的运动器材而进行的运动。所述运动器材可以为握力器、体重秤、臂力器、击打能力检测器等。这里以臂力器为例加以说明。当用户使用装配了数据采集模块和无线传输模块的臂力器，同时设定臂力器参数级别l，臂力器设计智能计数模块，可以记录用户指定时间的运动次数q，并将所述数据发送至智能平台，智能平台得到一组力量分析数据应该为l*q,在根据所述数据得到用户的力量指数。 Specifically, the external sensing device is directly configured with a sensor's sports equipment, and the sensor transmits the collected data to the intelligent platform. The preset motion is a motion performed by a user operating the sports equipment configuring the sensor. The sports equipment may be a grip, a weight scale, an arm, a hit capability detector, or the like. Here, the arm force is taken as an example for illustration. When the user uses the arm equipped with the data acquisition module and the wireless transmission module and sets the arm parameter level l at the same time, the arm design intelligent counting module can record the number of movements q of the user specified time and send the data to the intelligence. The platform, the intelligent platform gets a set of strength analysis data should be l*q, and the user's strength index is obtained according to the data.
示例性的，所述利用外部传感设备获取所述用户执行预设运动的运动数据，其中，所述预设运动与所述外部传感设备配置的运动器材相对应具体为： Exemplarily, the external sensing device is used to acquire the motion data of the user performing the preset motion, where the preset motion corresponds to the sports equipment configured by the external sensing device, specifically:
H11 、确定所述外部传感设备配置的运动器材对应的运动，并获取运动器材设置的运动等级； H11, determining a motion corresponding to the sports equipment configured by the external sensing device, and obtaining a motion level set by the sports equipment;
H12 、利用所述传感器获取指定时间内用户执行所述运动的次数，并根据所述运动等级和次数确定所述运动对应的运动数据。 H12 And using the sensor to acquire the number of times the user performs the motion within a specified time, and determining motion data corresponding to the motion according to the motion level and the number of times.
所述根据所述运动数据生成所述用户的第二参数信息具体为： The generating the second parameter information of the user according to the motion data is specifically:
H21 、根据所述运动等级和次数确定所述运行对应的运动指标的数据信息，并将所述运动指标的数据信息记为第二参数信息。 H21 And determining, according to the motion level and the number of times, data information of the motion indicator corresponding to the operation, and recording the data information of the motion indicator as the second parameter information.
相应的，所述步骤S400、所述根据所述第一参数信息和用户信息生成用户特征数据，并所述用户特征数据与所述用户ID绑定存储具体包括： Correspondingly, the step S400, the generating the user feature data according to the first parameter information and the user information, and binding the user feature data to the user ID, specifically includes:
S401 、根据所述第一参数信息、第二参数信息以及用户信息生成用户特征数据； S401. Generate user feature data according to the first parameter information, the second parameter information, and the user information.
S402 、将所述用户特征数据与所述用户ID绑定的存储于所述智能平台的数据库内。 S402. The user feature data is bound to the user ID and stored in a database of the smart platform.
具体地，根据所述第一参数信息、第二参数信息以及用户信息可以获取用户的一组包含几个维度的数据信息，再根据存储的基准数据，找出最低值、最高值、计算出平均值。以基准数据为参考制定一个数据转换百分制的公式，将得到的用户数据转化成更直观更清晰的百分制对应分数；每个用户产生一份对应多维度参数的数据库，形成用户的特征数据。所述数据特征可以如表1的形成存储。 Specifically, according to the first parameter information, the second parameter information, and the user information, a set of data information of the user including several dimensions may be acquired, and then the lowest value, the highest value, and the average value are calculated according to the stored reference data. value. Based on the reference data, a formula for the data conversion percentage system is formulated, and the obtained user data is converted into a more intuitive and clear percentage system corresponding score; each user generates a database corresponding to the multi-dimensional parameters to form the user's characteristic data. The data features can be stored as formed in Table 1.
表1 用户数据构成示例表 Table 1 User data composition example table
姓名 Name 性别 gender 年龄 age 职业 Career 体重 body weight 身高 height 耐力 endurance 速度 speed 力量 power 协调性 Coordination 智力 intelligence 反应 reaction
张三 Zhang San 男 male 20 20 76 76 178 178 f1/t1 F1/t1 p1/t1 P1/t1 l1*q1 L1*q1 F1 F1
李四 Li Si 女 Female 30 30 52 52 168 168 f2/t2 F2/t2 p2/t2 P2/t2 l2*q2 L2*q2 F2 F2
王五 Wang Wu 男 male 40 40 68 68 172 172 f3/t3 F3/t3 p3/t3 P3/t3 l3*q3 L3*q3 F3 F3
本发明还提供了一种基于智能平台的数据采集系统，如图2所示，其包括： The invention also provides an intelligent platform-based data acquisition system, as shown in FIG. 2, which includes:
接收模块100，用于接收用户输入的用户信息，并为所述用户分配一用户ID； The receiving module 100 is configured to receive user information input by a user, and allocate a user ID to the user;
采集模块200，用于利用预先配置的摄像头采集所述用户执行指定动作的视频图像； The collecting module 200 is configured to collect, by using a pre-configured camera, a video image that the user performs a specified action;
识别模块300，用于识别所述视频图像中指定动作的数据信息，并根据所有数据信息及所述指定动作对应的指标信息形成所述用户的第一参数信息； The identification module 300 is configured to identify data information of the specified action in the video image, and form first parameter information of the user according to all the data information and the indicator information corresponding to the specified action;
第一生成模块400，用于根据所述第一参数信息和用户信息生成用户特征数据，并所述用户特征数据与所述用户ID绑定存储。 The first generation module 400 is configured to generate user feature data according to the first parameter information and the user information, and the user feature data is bound and stored with the user ID.
所述基于智能平台的数据采集系统，其还包括： The intelligent platform-based data collection system further includes:
获取模块，用于利用外部传感设备获取所述用户执行预设运动的运动数据，其中，所述预设运动与所述外部传感设备配置的运动器材相对应； An acquiring module, configured to acquire, by using an external sensing device, motion data of the user performing a preset motion, where the preset motion corresponds to a sports equipment configured by the external sensing device;
第二生成模块，用于根据所述运动数据生成所述用户的第二参数信息 a second generating module, configured to generate second parameter information of the user according to the motion data
所述基于智能平台的数据采集系统，其中，所述第一生成模块具体包括： The intelligent platform-based data collection system, wherein the first generation module specifically includes:
生成单元，用于根据所述第一参数信息、第二参数信息以及用户信息生成用户特征数据； a generating unit, configured to generate user feature data according to the first parameter information, the second parameter information, and the user information;
存储单元，用于将所述用户特征数据与所述用户ID绑定的存储于所述智能平台的数据库内。 And a storage unit, configured to store the user feature data and the user ID in a database of the smart platform.
上述基于智能平台的数据采集系统的各个模块在上述方法中已经详细说明，在这里就不再一一陈述。 The various modules of the above intelligent platform-based data acquisition system have been described in detail in the above methods, and will not be described here.
在本发明所提供的实施例中，应该理解到，所揭露的系统和方法，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，所述模块的划分，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。 In the embodiments provided by the present invention, it should be understood that the disclosed systems and methods may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division. In actual implementation, 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. In addition, 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.
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。 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.
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，也可以采用硬件加软件功能单元的形式实现。 In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or 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 hardware plus software functional units.
上述以软件功能单元的形式实现的集成的单元，可以存储在一个计算机可读取存储介质中。上述软件功能单元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)或处理器(processor)执行本发明各个实施例所述方法的部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。 The above-described integrated unit implemented in the form of a software functional unit can be stored in a computer readable storage medium. The above software functional unit is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform the methods of the various embodiments of the present invention. Part of the steps. The foregoing storage medium includes: a U disk, a mobile hard disk, and a read only memory (Read-Only) Memory, ROM, random access memory (RAM), disk or optical disc, and other media that can store program code.
最后应说明的是：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。 It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not limited thereto; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that The technical solutions described in the foregoing embodiments are modified, or the equivalents of the technical features are replaced. The modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (14)

  1. 一种基于智能平台的数据采集方法，其特征在于，其包括： An intelligent platform-based data collection method, characterized in that it comprises:
    接收用户输入的用户信息，并为所述用户分配一用户ID；Receiving user information input by the user, and assigning a user ID to the user;
    利用预先配置的摄像头采集所述用户执行指定动作的视频图像；Acquiring, by using a pre-configured camera, a video image of the user performing a specified action;
    识别所述视频图像中指定动作的数据信息，并根据所有数据信息及所述指定动作对应的指标信息形成所述用户的第一参数信息；Identifying data information of the specified action in the video image, and forming first parameter information of the user according to all data information and indicator information corresponding to the specified action;
    根据所述第一参数信息和用户信息生成用户特征数据，并所述用户特征数据与所述用户ID绑定存储。User feature data is generated according to the first parameter information and user information, and the user feature data is bound and stored with the user ID.
  2. 根据权利要求1所述基于智能平台的数据采集方法，其特征在于，所述根据所述第一参数信息和用户信息生成用户特征数据，并所述用户特征数据与所述用户ID绑定存储之前还包括：The intelligent platform-based data collection method according to claim 1, wherein the user characteristic data is generated according to the first parameter information and the user information, and the user feature data is bound to the user ID before being stored. Also includes:
    利用外部传感设备获取所述用户执行预设运动的运动数据，其中，所述预设运动与所述外部传感设备配置的运动器材相对应；Acquiring, by the external sensing device, the motion data of the user performing the preset motion, wherein the preset motion corresponds to the sports equipment configured by the external sensing device;
    根据所述运动数据生成所述用户的第二参数信息。Generating second parameter information of the user according to the motion data.
  3. 根据权利要求2所述基于智能平台的数据采集方法，其特征在于，所述根据所述第一参数信息和用户信息生成用户特征数据，并所述用户特征数据与所述用户ID绑定存储具体包括：The intelligent platform-based data collection method according to claim 2, wherein the user characteristic data is generated according to the first parameter information and the user information, and the user feature data is bound to the user ID to store a specific include:
    根据所述第一参数信息、第二参数信息以及用户信息生成用户特征数据；Generating user feature data according to the first parameter information, the second parameter information, and the user information;
    将所述用户特征数据与所述用户ID绑定的存储于所述智能平台的数据库内。Binding the user feature data to the user ID is stored in a database of the smart platform.
  4. 根据权利要求2所述基于智能平台的数据采集方法，其特征在于，所述利用外部传感设备获取所述用户执行预设运动的运动数据，其中，所述预设运动与所述外部传感设备配置的运动器材相对应具体为：The intelligent platform-based data collection method according to claim 2, wherein the external sensing device acquires motion data of the user performing a preset motion, wherein the preset motion and the external sensing The equipment configured for the equipment is specifically:
    确定所述外部传感设备配置的运动器材对应的运动，并获取运动器材设置的运动等级；Determining a motion corresponding to the sports equipment configured by the external sensing device, and obtaining a motion level set by the sports equipment;
    利用所述传感器获取指定时间内用户执行所述运动的次数，并根据所述运动等级和次数确定所述运动对应的运动数据。The sensor is used to acquire the number of times the user performs the motion within a specified time, and the motion data corresponding to the motion is determined according to the motion level and the number of times.
  5. 根据权利要求4所述基于智能平台的数据采集方法，其特征在于，所述根据所述运动数据生成所述用户的第二参数信息具体为：The intelligent platform-based data collection method according to claim 4, wherein the generating the second parameter information of the user according to the motion data is specifically:
    根据所述运动等级和次数确定所述运行对应的运动指标的数据信息，并将所述运动指标的数据信息记为第二参数信息。Determining, according to the motion level and the number of times, data information of the motion indicator corresponding to the operation, and recording the data information of the motion indicator as the second parameter information.
  6. 根据权利要求1所述基于智能平台的数据采集方法，其特征在于，所述利用预先配置的摄像头采集用户执行指定动作的视频图像具体为：The intelligent platform-based data collection method according to claim 1, wherein the video image obtained by the user using a pre-configured camera to perform a specified action is:
    在接收到摄像头启动指令时，启动摄像头并在预设时间段内连续采集用户执行指定动作的视频图像。Upon receiving the camera start command, the camera is activated and the video image of the user performing the specified action is continuously acquired for a preset period of time.
  7. 根据权利要求6所述基于智能平台的数据采集方法，其特征在于，所述识别所述视频图像中指定动作的数据信息，并根据所有数据信息及所述指定动作对应的指标信息形成所述用户的第一参数信息具体包括：The intelligent platform-based data collection method according to claim 6, wherein the data information of the specified action in the video image is identified, and the user is formed according to all the data information and the indicator information corresponding to the specified action. The first parameter information specifically includes:
    解析所述视频图像，获取所述视频图像包含的指定动作的个数；Parsing the video image to obtain a number of specified actions included in the video image;
    根据所述预设时间段的时长以及所述个数确定所述指定动作对应的运动指标的数据信息；Determining, according to the duration of the preset time period and the number of the data information of the motion indicator corresponding to the specified action;
    根据所述数据信息生成所述用户的第一参数信息。Generating first parameter information of the user according to the data information.
  8. 一种基于智能平台的数据采集系统，其特征在于，其包括：An intelligent platform-based data acquisition system, characterized in that it comprises:
    接收模块，用于接收用户输入的用户信息，并为所述用户分配一用户ID；a receiving module, configured to receive user information input by a user, and allocate a user ID to the user;
    采集模块，用于利用预先配置的摄像头采集所述用户执行指定动作的视频图像；An acquisition module, configured to collect, by using a pre-configured camera, a video image of the user performing a specified action;
    识别模块，用于识别所述视频图像中指定动作的数据信息，并根据所有数据信息及所述指定动作对应的指标信息形成所述用户的第一参数信息；An identification module, configured to identify data information of a specified action in the video image, and form first parameter information of the user according to all data information and indicator information corresponding to the specified action;
    第一生成模块，用于根据所述第一参数信息和用户信息生成用户特征数据，并所述用户特征数据与所述用户ID绑定存储。The first generating module is configured to generate user feature data according to the first parameter information and the user information, and the user feature data is bound and stored with the user ID.
  9. 根据权利要求8所述基于智能平台的数据采集系统，其特征在于，其还包括：The intelligent platform-based data collection system according to claim 8, further comprising:
    获取模块，用于利用外部传感设备获取所述用户执行预设运动的运动数据，其中，所述预设运动与所述外部传感设备配置的运动器材相对应；An acquiring module, configured to acquire, by using an external sensing device, motion data of the user performing a preset motion, where the preset motion corresponds to a sports equipment configured by the external sensing device;
    第二生成模块，用于根据所述运动数据生成所述用户的第二参数信息。And a second generating module, configured to generate second parameter information of the user according to the motion data.
  10. 根据权利要求9所述基于智能平台的数据采集系统，其特征在于，所述第一生成模块具体包括：The intelligent platform-based data collection system of claim 9, wherein the first generation module comprises:
    生成单元，用于根据所述第一参数信息、第二参数信息以及用户信息生成用户特征数据；a generating unit, configured to generate user feature data according to the first parameter information, the second parameter information, and the user information;
    存储单元，用于将所述用户特征数据与所述用户ID绑定的存储于所述智能平台的数据库内。And a storage unit, configured to store the user feature data and the user ID in a database of the smart platform.
  11. 根据权利要求9所述基于智能平台的数据采集系统，其特征在于，所述利用外部传感设备获取所述用户执行预设运动的运动数据，其中，所述预设运动与所述外部传感设备配置的运动器材相对应具体为：The intelligent platform-based data collection system according to claim 9, wherein the external sensing device acquires motion data of the user performing a preset motion, wherein the preset motion and the external sensing The equipment configured for the equipment is specifically:
    确定所述外部传感设备配置的运动器材对应的运动，并获取运动器材设置的运动等级；Determining a motion corresponding to the sports equipment configured by the external sensing device, and obtaining a motion level set by the sports equipment;
    利用所述传感器获取指定时间内用户执行所述运动的次数，并根据所述运动等级和次数确定所述运动对应的运动数据。The sensor is used to acquire the number of times the user performs the motion within a specified time, and the motion data corresponding to the motion is determined according to the motion level and the number of times.
  12. 根据权利要求11所述基于智能平台的数据采集系统，其特征在于，所述根据所述运动数据生成所述用户的第二参数信息具体为：The intelligent platform-based data collection system according to claim 11, wherein the generating the second parameter information of the user according to the motion data is specifically:
    根据所述运动等级和次数确定所述运行对应的运动指标的数据信息，并将所述运动指标的数据信息记为第二参数信息。Determining, according to the motion level and the number of times, data information of the motion indicator corresponding to the operation, and recording the data information of the motion indicator as the second parameter information.
  13. 根据权利要求8所述基于智能平台的数据采集系统，其特征在于，所述利用预先配置的摄像头采集用户执行指定动作的视频图像具体为： The intelligent platform-based data collection system according to claim 8, wherein the video image obtained by the user using a pre-configured camera to perform a specified action is:
    在接收到摄像头启动指令时，启动摄像头并在预设时间段内连续采集用户执行指定动作的视频图像。Upon receiving the camera start command, the camera is activated and the video image of the user performing the specified action is continuously acquired for a preset period of time.
  14. 根据权利要求13所述基于智能平台的数据采集系统，其特征在于，所述识别所述视频图像中指定动作的数据信息，并根据所有数据信息及所述指定动作对应的指标信息形成所述用户的第一参数信息具体包括：The intelligent platform-based data collection system according to claim 13, wherein the data information of the specified action in the video image is identified, and the user is formed according to all the data information and the indicator information corresponding to the specified action. The first parameter information specifically includes:
    解析所述视频图像，获取所述视频图像包含的指定动作的个数；Parsing the video image to obtain a number of specified actions included in the video image;
    根据所述预设时间段的时长以及所述个数确定所述指定动作对应的运动指标的数据信息；Determining, according to the duration of the preset time period and the number of the data information of the motion indicator corresponding to the specified action;
    根据所述数据信息生成所述用户的第一参数信息。Generating first parameter information of the user according to the data information.
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