The present invention relates to a
gesture recognition method based on
interval distribution probability features, comprising: S1, using
infrared sensing technology to collect
infrared reflection signals and
infrared temperature signals of gestures at a set frequency f; S2, judging whether the infrared
temperature difference changes
Target action; S3, automatic detection of gesture movement segments, and denoising and normalization, interpolation and normalization
processing to obtain new data segments; S4,
feature extraction, and at the same time, use standard gesture
raw data to establish gesture feature templates as training Sample; S5, at last, utilize KNN method to identify
test sample gesture type, the method of the present invention is simple and intuitive,
unsupervised learning process, high to the recognition rate of common dynamic gesture, real-time performance is good, and to the change of
environmental factor or gesture process The difference is inclusive and has good robustness.