阅读说明：本技术 基于步频的高精度运动量识别系统及方法 (High-precision motion amount identification system and method based on step frequency ) 是由 康灵修 康纪明 于 2019-09-30 设计创作，主要内容包括：本发明涉及运动和健康管理技术领域,具体为基于步频的高精度运动量识别系统及方法,该方法包括：获取用户行走信息,所述行走信息包括由若干单位时间段以及与单位时间段对应的用户步频构成的序列；判断各个单位时间段内的用户步频是否超过步频阈值,若是,则判定相应单位时间段内的行走为有效运动,若否,则判定相应单位时间段内的行走为无效运动；根据有效运动和无效运动将用户行走信息划分为若干有效运动时间段；记录各个有效运动时间段的时长,得到用户运动量。本发明提供的基于步频的高精度运动量识别系统及方法,可以精准的检测和记录用户的运动量,为用户制定和实施科学的健身计划提供数据支撑。(The invention relates to the technical field of exercise and health management, in particular to a high-precision exercise amount identification system and method based on step frequency, wherein the method comprises the following steps: acquiring user walking information, wherein the walking information comprises a sequence formed by a plurality of unit time periods and user step frequencies corresponding to the unit time periods; judging whether the step frequency of the user in each unit time period exceeds a step frequency threshold value, if so, judging that the walking in the corresponding unit time period is effective movement, and if not, judging that the walking in the corresponding unit time period is ineffective movement; dividing the user walking information into a plurality of effective movement time periods according to the effective movement and the ineffective movement; and recording the duration of each effective movement time period to obtain the user movement amount. The high-precision motion amount identification system and method based on the step frequency can accurately detect and record the motion amount of the user and provide data support for the user to make and implement a scientific fitness plan.)

1. The high-precision motion amount identification method based on the step frequency is characterized by comprising the following steps: the method comprises the following steps:

acquiring user walking information, wherein the user walking information comprises a sequence formed by a plurality of unit time periods and user step frequencies corresponding to the unit time periods;

judging whether the step frequency of the user in each unit time period exceeds a step frequency threshold value, if so, judging that the walking in the corresponding unit time period is effective movement, and if not, judging that the walking in the corresponding unit time period is ineffective movement;

combining a plurality of continuous invalid movement unit time periods into an invalid movement time period, and judging whether the duration of each invalid movement time period exceeds a preset value; dividing the user motion information into a plurality of effective motion time periods by taking the ineffective motion time period with the time length exceeding a preset value as a segmentation boundary;

and recording the duration of the effective movement time period to obtain the user movement amount.

2. The stride frequency-based high-precision motion amount recognition method according to claim 1, wherein: when the duration of the effective movement time period is recorded, the following steps are executed:

and judging whether the duration of the effective movement time period is greater than a preset value, if so, accumulating the duration of the current effective movement time period into the user movement amount, and otherwise, skipping the current effective movement time period.

3. The stride frequency-based high-precision motion amount recognition method according to claim 2, wherein: the method for acquiring the walking information of the user comprises the following steps: and judging whether the user is in a walking state or not according to the sensor signal, if so, acquiring the real-time movement step number of the user, and calculating the step frequency of the user in unit time period to form the walking information of the user.

4. The stride frequency-based high-precision motion amount recognition method according to claim 3, wherein: the method also comprises a step frequency threshold value adjusting step used for adjusting the step frequency threshold value.

5. The stride frequency-based high-precision motion amount recognition method according to claim 4, wherein: in the step frequency threshold value adjusting step, the step frequency threshold value is automatically adjusted according to the personal information of the user, wherein the personal information of the user comprises age, gender and height information.

6. The stride frequency-based high-precision motion amount recognition method according to claim 4, wherein: in the step frequency threshold value adjusting step, a user manually sets a step frequency threshold value.

7. The stride frequency-based high-precision motion amount recognition method according to claim 1, wherein: and after the walking in the unit time period is judged to be effective movement, judging whether the step frequency of the user exceeds a second step frequency threshold value, if so, marking the walking in the corresponding unit time period as stronger movement.

8. High accuracy amount of exercise identification system based on stride frequency, its characterized in that: the method comprises the following steps:

the system comprises a walking information acquisition module, a walking information acquisition module and a control module, wherein the walking information acquisition module is used for acquiring user walking information which comprises a sequence consisting of a plurality of unit time periods and user step frequencies corresponding to the unit time periods;

the effective motion detection module is used for judging whether the walking of the user in each unit time period is effective motion or not according to the step frequency of the user;

the motion time period dividing module is used for combining a plurality of continuous unit time periods of invalid motion into an invalid motion time period and judging whether the time length of each invalid motion time period exceeds a preset value or not; dividing the user motion information into a plurality of effective motion time periods by taking the ineffective motion time period with the time length exceeding the preset value as a segmentation boundary;

and the motion amount calculation module is used for calculating the motion duration of each effective motion time period to obtain the motion amount of the user.

9. The system according to claim 8, wherein: the system also comprises an automatic threshold adjusting module, wherein the automatic threshold adjusting module comprises a user personal information obtaining module and a threshold matching module, a threshold database is stored in the threshold matching module, the user personal information obtaining module is used for obtaining user personal information, and the threshold matching module is used for matching a corresponding step frequency threshold according to the user personal information.

10. The system according to claim 9, wherein: the walking information acquisition module comprises a walking judgment module, a step frequency calculation module and a walking recording module, wherein the walking judgment module is used for judging whether a user is in a walking state according to a sensor signal, the step frequency calculation module is used for calculating the step frequency of the user, and the walking recording module is used for recording the walking information of the user.

Technical Field

The invention relates to the technical field of exercise and health management, in particular to a high-precision exercise amount identification system and method based on step frequency.

Background

The health body is the foundation of work and life of people, people pay more and more attention to body health along with the continuous development of society, and sports products related to the health body are more and more, particularly wearable electronic products such as intelligent bracelets and intelligent watches are becoming more and more popular.

However, the existing sports products almost all record the exercise state of the user based on the exercise steps or take the steps as the exercise target, the exercise intensity and time cannot be reflected only by the steps, and accordingly, the exercise plan made based on the steps does not have the requirements on the exercise intensity and the exercise time, so that the exercise plan is very extensive and is difficult to achieve the purposes of exercise and disease prevention.

Disclosure of Invention

The invention aims to provide a high-precision motion amount identification system and method based on step frequency, which can accurately detect and record the motion amount of a user and provide data support for the user to make and implement a scientific fitness plan.

In order to solve the technical problem, the present application provides the following technical solutions:

the high-precision motion amount identification method based on the step frequency comprises the following steps: acquiring user walking information, wherein the user walking information comprises a sequence formed by a plurality of unit time periods and user step frequencies corresponding to the unit time periods; judging whether the step frequency of the user in each unit time period exceeds a step frequency threshold value, if so, judging that the walking in the corresponding unit time period is effective movement, and if not, judging that the walking in the corresponding unit time period is ineffective movement; combining a plurality of continuous invalid movement unit time periods into an invalid movement time period, and judging whether the duration of each invalid movement time period exceeds a preset value; dividing the user motion information into a plurality of effective motion time periods by taking the ineffective motion time period with the time length exceeding a preset value as a segmentation boundary; and recording the duration of the effective movement time period to obtain the user movement amount.

According to the technical scheme, the accurate detection and judgment of the user motion amount can be realized by collecting the user walking information and analyzing the user step frequency in the user walking information, and compared with the mode that the motion amount is calculated only by adopting the step number at present, the technical scheme of the invention judges whether the user is in effective motion or not by the step frequency of the user, so that only the effective motion is recorded, the detection accuracy is further improved, the detection and the identification of the high-accuracy motion amount are further realized, the accurate motion amount data are provided for the user, and the data support is provided for the user to make and implement a scientific fitness plan.

Further, when recording the duration of the effective movement time period, executing the following steps:

and judging whether the duration of the effective movement time period is greater than a preset value, if so, accumulating the duration of the current effective movement time period into the user movement amount, and otherwise, skipping the current effective movement time period. And judging the duration of the effective movement time period, and excluding short-time movement.

Further, the step of obtaining the walking information of the user comprises the following steps: and judging whether the user is in a walking state or not according to the sensor signal, if so, acquiring the real-time movement step number of the user, and calculating the step frequency of the user in unit time period to form the walking information of the user.

And judging the motion state of the user through the sensor signal, and acquiring the walking information of the user.

Further, the method also comprises a step frequency threshold value adjusting step used for adjusting the step frequency threshold value. Different step frequency thresholds are adjusted according to different people, so that the method is suitable for different crowds, and the detection can be more accurate.

Further, in the step frequency threshold value adjusting step, the step frequency threshold value is automatically adjusted according to the personal information of the user, wherein the personal information of the user comprises age, gender and height information. And the step frequency threshold value is automatically adjusted according to the basic information, the exercise habits and the personal information of the health condition without user operation.

Further, in the step frequency threshold value adjusting step, a step frequency threshold value is manually set by a user. The user can set the step frequency threshold value manually.

Further, after the walking in the unit time period is judged to be effective movement, whether the step frequency of the user exceeds a second step frequency threshold value or not is also judged, and if yes, the walking in the corresponding unit time period is marked to be movement with larger intensity. The high-intensity movement is identified, and the movement amount can be recorded more accurately.

Further, the present application also discloses a high-precision motion amount identification system based on step frequency, which includes:

the system comprises a walking information acquisition module, a walking information acquisition module and a control module, wherein the walking information acquisition module is used for acquiring user walking information which comprises a sequence consisting of a plurality of unit time periods and user step frequencies corresponding to the unit time periods;

the effective motion detection module is used for judging whether the walking of the user in each unit time period is effective motion or not according to the step frequency of the user;

the motion time period dividing module is used for combining a plurality of continuous unit time periods of invalid motion into an invalid motion time period and judging whether the time length of each invalid motion time period exceeds a preset value or not; dividing the user motion information into a plurality of effective motion time periods by taking the ineffective motion time period with the time length exceeding the preset value as a segmentation boundary;

and the motion amount calculation module is used for calculating the motion duration of each effective motion time period to obtain the motion amount of the user.

According to the technical scheme, whether the user is in effective movement or not is judged through the step frequency of the user, then only the effective movement is recorded, the detection accuracy is further improved, the detection and the identification of high-precision movement amount are achieved, accurate movement amount data are provided for the user, and data support is provided for the user to make and implement a scientific fitness plan.

And further, the device further comprises a threshold manual setting module, wherein the threshold manual setting module is used for adjusting the step frequency threshold by a user. The user can adjust the step frequency threshold value manually.

The system further comprises an automatic threshold adjusting module, wherein the automatic threshold adjusting module comprises a user personal information obtaining module and a threshold matching module, a threshold database is stored in the threshold matching module, the user personal information obtaining module is used for obtaining user personal information, and the threshold matching module is used for matching a corresponding step frequency threshold according to the user personal information. The step frequency threshold value is automatically adjusted according to the personal information of the user, the method is simple and convenient, and the user operation is not needed.

Further, the walking information acquisition module comprises a walking judgment module, a step frequency calculation module and a walking recording module, wherein the walking judgment module is used for judging whether the user is in a walking state according to the sensor signal, the step frequency calculation module is used for calculating the step frequency of the user, and the walking recording module is used for recording the walking information of the user. The motion state of the user is judged through the sensor signal, and the walking information of the user is detected and acquired.

Drawings

FIG. 1 is a flow chart of a method in an embodiment of a high-precision motion amount identification method based on step frequency according to the present invention;

fig. 2 is a logic block diagram of an embodiment of a step-frequency-based high-precision motion amount identification system according to the present invention.

Detailed Description

The following is further detailed by way of specific embodiments: