Human body action modeling and recognizing method

Abstract

The invention provides an accelerometer data modeling and motion recognizing method. The method comprises the steps of acquiring action data by use of an accelerometer and building a plurality of action models, including actions such as moving, sleeping, palming / palm dropping and knocking, acquiring the action data in real time by use of the accelerometer and performing smoothing processing on the acquired data by use of a smoothing filter so as to remove noise, analyzing the filtered data and recognizing actions by comparing with target action data models. After action recognition is completed, subsequent data, such as motion related information like calorie consumption, distance, motion pattern and sleeping quality, are calculated according to different action recognition requirements. The accelerometer data modeling and motion recognizing method is capable of realizing real-time analysis on a plurality of actions according to the difference between various actions while guaranteeing high accuracy of action recognition; as a result, a high-accuracy and high-intelligence human body action recognition method can be provided for a user intelligently.

Description

technical field [0001] The invention relates to a human body action model building and recognition method for human health applications, which uses smoothing filtering, action modeling, discriminant models and action recognition to analyze and identify human actions, so as to realize human health tracking and intelligent life. Background technique [0002] As living standards get higher and higher, people pay more and more attention to their own health issues, and mastering their daily exercise information can allow users to understand their own health-related information more accurately. The human body motion modeling and recognition method provides users with such a possibility: through intelligent human body motion recognition, it is possible to automatically record the user's daily physical activity (such as how many steps have been taken, how many kilometers have been walked, how many calories have been consumed, etc.), Sleep quality (how much time is deep sleep and how...

AI Technical Summary

Problems solved by technology

[0004] The present invention overcomes the shortcomings of the prior art that it is impossible to intelligently identify human body motion models, motion categories, and record human body motions, and proposes a human motion modeling and recognition method based on acceleration data for various motion types

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