Method for automatically detecting human motion type

Abstract

The invention discloses a method for automatically detecting a human motion type. The method for automatically detecting the human motion type comprises the following steps that A, a signal caused byhuman motion activity is obtained; B, related motion parameter information is calculated; C, the information of the step B is compared with an information base to judge the motion type; and D, the information obtained in the step C is transmitted and displayed. The method for automatically detecting the human motion type has the beneficial effects that by arranging a three-component accelerograph,a calculation device, an optical heart rate sensor, a stride frequency sensor and a processor, the heart rate, frequency of footsteps, motion linear acceleration and vibration parameter information generated by motion are conveniently and rapidly calculated, the motion type can be directly judged by comparing data with a database, the judgment mode is simple, convenient and fast, a result can beintuitively and rapidly obtained, multilayer recognition and judgment is not required, detection time is shortened, the detection efficiency is improved, and effective reference is provided for a health and fitness program.

Description

[0001] The invention belongs to the technical field of motion type identification, in particular to a method for automatically detecting human body motion types. Background technique [0002] The smart devices currently in use all have the function of recording the time and distance of human body movement. There are different types of human body movement methods, the most common of which are aerobic exercise, strength training and flexibility exercise. Aerobic exercise is mainly to improve and improve the human body. The aerobic work capacity of this type of exercise includes walking (walking, brisk walking, quantitative walking, walking with sticks and race walking), jogging (or fitness running), alternating walking and running, cycling, running on a treadmill, aerobic dance, aerobics and Non-violent ball games, etc. Strength training is mainly to enhance strength and bodybuilding, such as weight-bearing or resistance exercises such as dumbbells, barbells, springs and rubber b...

AI Technical Summary

Problems solved by technology

[0002] The smart devices currently in use all have the function of recording the time and distance of human body movement. There are different types of human body movement methods, the most common of which are aerobic exercise, strength training and flexibility exercise. Aerobic exercise is mainly to improve and improve the human body. The aerobic work capacity of this type of exercise includes walking (walking, brisk walking, quantitative walking, walking with sticks and race walking), jogging (or fitness running), alternating walking and running, cycling, running on a treadmill, aerobic dance, aerobics and Non-violent ball games, etc. Strength training is mainly to enhance strength and bodybuilding, such as weight-bearing or resistance exercises such as dumbbells, barbells, springs and rubber bands, which are helpful for the prevention and treatment of osteoporosis , flexibility exercise is to lengthen the muscles and ligaments, and is accompanied by the exercise of adjusting the breathing rhythm, such as yoga, medical gymnastics and various health Qigong, etc., but the existing equipment cannot automatically detect the type of human movement, and cannot quickly detect Can not provide effective reference for health and fitness plan

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