Motion recognition method based on acceleration sensor

Abstract

The invention relates to a motion recognition method based on an acceleration sensor, belonging to the technical field of human-computer interaction. The method comprises the steps of collecting acceleration signals of the sensor, smoothing the acceleration signals online, automatically detecting the beginning point and the end point of the motion and separating motion segments so as to automatically segment the signals; for increasing the recognition accuracy, using the Fused hidden markov model algorithm as a classifier in the invention, modeling each known model in the phase of training, and estimating the motion represented by the current signal in the phase of recognition; and for providing a recognition result before each motion, using an autoregressive prediction model in the invention, and predicting the unknown data by the collected known data so as to achieve the effect of early recognition. The motion recognition method based on the acceleration sensor is characterized in that the human motion can be captured with few sensors, and the current human motion types can be quickly and accurately recognized.

Description

technical field [0001] The invention relates to a motion recognition method, in particular to a motion recognition method of an acceleration sensor, and belongs to the technical field of human-computer interaction. Background technique [0002] Early motion recognition was mainly based on vision, given an image sequence or a video clip, to identify the type of motion of a person. The vision-based method has the advantages of natural interaction and rich feature information extracted, but this method also has some limitations in practical applications, and many problems need to be overcome. Such as the lighting conditions in the environment, the position of the characters in front of the camera, the size of the venue, etc. Sensors have the advantages of being cheap, easy to carry, and not limited by venues. With the development of these devices, motion recognition has been brought into a new research field, which complements the shortcomings of traditional vision-based motio...

AI Technical Summary

Problems solved by technology

[0005] Purpose of the present invention: apply a kind of continuous signal processing method, automatically carry out endpoint detection, realize the automatic online segmentation ability of signal; Use Fused hidden Markov model as identification classifier, solve traditional hidden Markov model For the problem of poor recognition ability of complex interactive motion; use the prediction model of autoregressive to predict unknown data, enhance the ability of early recognition, and solve the problem of delay feeling caused by de-recognition after the motion is completed. The main purpose of the present invention is to realize An efficient and accurate motion recognition system with good interaction

Images