Smartwatch-based swimming motion analysis method and smartwatch

A technology for smart watches and motion analysis, applied in the field of smart wear, can solve the problems of not intuitive calories, rough data, and insufficient awareness of calories, so as to reduce the amount of basic data, reduce the computing load, and improve the recognition rate.

Active Publication Date: 2017-11-24
GUANGDONG COROS SPORTS TECH JOINT CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Estimate and calculate the calorie consumption of the wearer by timing and stroke characteristics, the data is rough, and most people do not have enough knowledge of calories, compared with the actual mileage, calories are not intuitive enough

Method used

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  • Smartwatch-based swimming motion analysis method and smartwatch
  • Smartwatch-based swimming motion analysis method and smartwatch
  • Smartwatch-based swimming motion analysis method and smartwatch

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0072] This embodiment provides a swimming motion analysis method based on a smart watch, which is applicable to a scenario where the wearer of the smart watch is monitored for motion, and can identify whether the wearer is in a swimming state.

[0073] figure 1 It is a flow chart of the swimming motion analysis method provided by Embodiment 1 of the present invention. Such as figure 1 Shown, described swimming motion analysis method comprises the steps:

[0074] S11, from the action signal collected by each coordinate axis of the sensor of the smart watch, multiple peaks and valleys are obtained.

[0075] The sensors of smart watches generally use nine-axis sensors, including three-axis accelerometers, three-axis gyroscopes and three-axis magnetometers. During the process of data collection by the sensors, each coordinate axis has its corresponding motion signal. According to the movement signal The signal amplitude can be drawn into a wavy curve, and the peak value and va...

Embodiment 2

[0092] This embodiment is improved on the basis of the above-mentioned embodiments, and can measure the wearer's exercise mileage, and the data is intuitive.

[0093] figure 2 It is a flow chart of the swimming motion analysis method provided by the second embodiment of the present invention. Such as figure 2 As shown, the swimming motion analysis method includes the following steps:

[0094] S21. Obtain multiple peaks and valleys from the action signal collected by each coordinate axis of the sensor of the smart watch.

[0095] S22. Filter the peak value and the valley value to obtain an effective peak value and an effective valley value.

[0096] S23. Perform action cycle matching according to the effective peak value and the effective valley value.

[0097] S24. Determine that the wearer is in a swimming state.

[0098] S25. According to the motion signal of one motion cycle, a decision tree algorithm is used to determine the wearer's swimming style.

[0099] First,...

Embodiment 3

[0106] This embodiment is combined with the method of the above-mentioned embodiment, and when the action period is matched, the coordinate axis with better sensor data quality can be selected for operation, which can effectively avoid data confusion and reduce the amount of data processing.

[0107] image 3 It is a flow chart of the swimming motion analysis method provided by Embodiment 3 of the present invention. Such as image 3 As shown, the analysis method of this swimming motion comprises the following steps:

[0108] S31. Obtain multiple peaks and valleys from the motion signal collected by each coordinate axis of the sensor of the smart watch.

[0109] S32. Filter the peak value and the valley value to obtain an effective peak value and an effective valley value.

[0110] S33. Perform action cycle matching according to the effective peak value and the effective valley value.

[0111] S34, respectively counting the number of strokes matched by each coordinate axis ...

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Abstract

The invention discloses a smartwatch-based swimming motion analysis method and a smartwatch and relates to the field of smart wearable devices. The method comprises: from action signals acquired from all coordinate axes of a sensor of the smartwatch, acquiring multiple peak values and valley values; filtering the peak values and the valley values to obtain valid peak values and valid valley values; performing action cyclic matching on the valid peak values and the valid valley values; determining a swimming state of a wearer according to the matching results. The action signals acquired by the sensor are screened herein, irregular signals are removed, and the quantity of basic data is deceased; whether the wearer is in the swimming state is automatically judged according to cyclicity of the signal itself, and manually opening the swimming mode by the wearer is not required. Compared with the prior art, the method and the smartwatch have the advantages that there is no need for massive template matching calculations, calculating load of the smartwatch is lowered, and recognition rate is increased.

Description

technical field [0001] The invention relates to the technical field of smart wear, in particular to a smart watch-based swimming movement analysis method and the smart watch. Background technique [0002] Today, as people pay more and more attention to health and exercise, swimming has also become a popular form of aerobic exercise. With the advancement of waterproof technology of smart watches, the monitoring of using smart watches for swimming is also gradually realized. Exercise status recognition, as the technical basis for solving exercise monitoring and exercise status reminders, is the core of smart watch algorithms and one of the difficulties. [0003] At present, in the field of smart watches, the commonly used swimming monitoring method is that the wearer actively turns on the swimming mode, collects the wearer's motion signal through the sensor, and matches it with the preset motion templates of different swimming styles, so as to judge the swimming mode adopted ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A63B24/00A63B71/06G04G21/02
CPCA63B24/0003A63B24/0062A63B24/0087A63B71/0619A63B2071/0663A63B2208/02A63B2208/03G04G21/02
Inventor 戎海峰牛浩田杨钒沁王芳德夏啸夫
Owner GUANGDONG COROS SPORTS TECH JOINT CO
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