Human body action recognition method and mobile intelligent terminal

Abstract

The invention discloses a human body action recognition method and a mobile intelligent terminal. The human body action recognition method comprises the steps that human body action data are acquired for training so that feature extraction parameters and template data sequences are obtained, and the data requiring performance of human body action recognition are acquired in one time of human body action recognition so that original data sequences are obtained; feature extraction is performed on the original data sequences by utilizing the feature extraction parameters, and the data dimension of the original data sequences is reduced so that test data sequences after dimension reduction are obtained; and the test data sequences and the template data sequences are matched, and generation of human body actions corresponding to the template data sequences to which the test data sequences are correlated is confirmed when the successfully matched test data sequences exist. Dimension reduction is performed on the test data sequences so that the requirements for the human body action attitudes are reduced, and noise is removed. Then the data after dimension reduction are matched with the templates so that calculation complexity is reduced, accurate human body action recognition is realized and user experience is enhanced.

Description

technical field [0001] The invention relates to the technical field of action recognition in human-computer interaction, in particular to a human action recognition method and a mobile intelligent terminal. Background technique [0002] At present, gesture recognition schemes in human-computer interaction systems can be mainly divided into two categories: vision-based schemes and sensor-based schemes. Vision-based gesture recognition research is earlier, and the recognition method is relatively mature, but this scheme has disadvantages such as being sensitive to the environment, complex system, and large amount of calculation. Although sensor-based gesture recognition started late, it is flexible and reliable, not affected by the environment and light, and easy to implement. It is a recognition method with development potential. The essence of gesture recognition is to use gesture recognition algorithms to classify gestures according to gesture models. The quality of gestu...

AI Technical Summary

Problems solved by technology

[0010] (3) The existing technology generally requires operation on a given smart terminal posture or on a fixed plane, which limits the range of user actions and requires a higher posture of the device, which causes great inconvenience to the user. poor user experience

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