Method for detecting human motion state based on accelerated speed changes

Abstract

The invention discloses a method for detecting a human motion state based on accelerated speed changes. The method includes the following steps that A, a mobile device where an accelerated speed sensor is embedded is placed at any position of a human body, an accelerated speed sampling value of the accelerated speed sensor is compared with a preset accelerated speed threshold value, and according to the compared result, whether a human moves or not is judged; B, according to the step A, if the human moves, a self-correlation function is used for calculating the self-correlation degree of the accelerated speed sampling value; C, the self-correlation degree is compared with a preset self-correlation threshold value, and according to the compared result, whether the human walks or not is judged. According to changes of the accelerated speed value, whether the human walks or not can be judged. Therefore, the method not only is simple and accurate in judgment result, but also has very great practical significance and polarization value.

Description

technical field [0001] The invention relates to a method for detecting a person's motion state, in particular to a method for detecting a person's motion state based on changes in acceleration. Background technique [0002] With the maturity of communication technology and embedded devices, more and more chips and sensors are integrated into mobile devices. Such as accelerometer, global positioning system (GPS), gyroscope, magnetic sensor, etc. These sensors are often used to enhance the entertainment features of mobile devices, such as accelerometer-based somatosensory games. However, with the development of the scientific research community in recent years, people have paid more and more attention to how to use these sensors to perform human-centered computing, such as judging people's movement status, to choose the appropriate data transmission strategy to Optimize the performance of wireless networks; locate people indoors by judging their trajectories; and use inertia...

AI Technical Summary

Problems solved by technology

Another example is when optimizing wireless network transmission performance, accurately judging the user's motion state to adjust the data transmission strategy greatly affects the network transmission performance

However, the traditional detection method of human motion status is relatively complicated, and the detection results are not accurate, and it is impossible to make an accurate judgment on whether the person is walking or not.

Images