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A method for analyzing human motion characteristics based on smart watch data

A technology for smart watches and human movement, applied in sports accessories, relational databases, database models, etc., can solve problems such as analysis methods, electronic data extraction and analysis methods without smart watches, and character movement characteristics without smart watches, etc., to achieve measurement The effect of detailed and accurate data and high accuracy

Active Publication Date: 2020-04-10
INST OF FORENSIC SCI OF MIN OF PUBLIC SECURITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, since smart watches are electronic products with explosive growth in the past two years, there is currently no method for extracting and analyzing electronic data in smart watches, and there is no method for analyzing character movement characteristics based on such smart watch data.

Method used

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  • A method for analyzing human motion characteristics based on smart watch data
  • A method for analyzing human motion characteristics based on smart watch data
  • A method for analyzing human motion characteristics based on smart watch data

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Experimental program
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Embodiment 1

[0095] The smart watch adopted in this embodiment is the Moto 360 second-generation smart watch. Its stylish meta-dial appearance and the rich functions provided by the Android wear operating system make it a popular sports smart watch in the past two years. Its heart rate and step counting functions have passed professional audits, and a large amount of exercise and health data will be generated and stored during the user's wearing process, so it is suitable as a data collection tool in this embodiment. In this embodiment, 25 young people between the ages of 20 and 30 are selected as sampling individuals to measure the experimental data. The statistical information of the sampling individuals is shown in Table 3 below.

[0096] Table 3 Introduction of sampling individuals

[0097] gender number of people age Height / cm Body weight / kg Profession male 12 25.5±2.3 174.5±5.8 73.5±8.4 student Female 13 25.7±1.0 165.6±7.4 54.5±8.2 student ...

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Abstract

The invention relates to a human motion feature analysis method based on smart watch data. The human motion feature analysis method is characterized by comprising the following steps: (1) extracting and analyzing basic data collected by adopting a smart watch and measured data, wherein the measured data comprise steps, calorie and heartbeats; (2) dividing the measured data within a certain measurement time period according to step variation and heartbeat variation, thus obtaining heartbeat data and calorie data when a sampling individual is respectively in a time period under a motion state and a time period under a normal state; (3) analyzing a human motion feature state according to the heartbeat data and the calorie data in the time periods under the motion state and the normal state, thus obtaining a corresponding relation between the motion state as well as the normal state of a human body and the variation of the heartbeats and the calorie. The human motion feature analysis method disclosed by the invention is simple and feasible, a computing result is accurate, and the human motion feature analysis method can be widely applied to the field of analysis on human motion features based on electronic data.

Description

technical field [0001] The present invention relates to the field of character motion feature analysis, in particular to a human body motion feature analysis method based on smart watch data. Background technique [0002] As a kind of wearable device, smart watch has complete functions and convenient use, and plays an important role in health monitoring and other aspects. Two of the more common monitoring functions in the monitoring of human body activity characteristics of smart watches are heart rate data monitoring and step counting data monitoring. In order to achieve more powerful intelligence and a more prominent user experience, a large number of high-precision sensor devices are used in the smart watch system, including positioning, gravity, direction, acceleration and so on. A series of processes of dynamic capture and real-time capture of surrounding environmental data information, data preprocessing, removal of noise mutation errors, and dynamic mobile spatio-tem...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A63B71/06A61B5/0205A61B5/11A61B5/00G06F16/22G06F16/2458G06F16/28G16H20/30
CPCA61B5/0205A61B5/024A61B5/1123A61B5/681A61B5/72A61B5/7271A63B71/0619A63B2230/06A63B2230/75G06F16/22G06F16/2462G06F16/284
Inventor 赵露康艳荣龙源邢桂东郭丽莉周冬林楚川红
Owner INST OF FORENSIC SCI OF MIN OF PUBLIC SECURITY
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