A motion behavior pattern classification method, system and device relating to the human motion recognition field. The method includes: S1, determining a candidate motion behavior pattern which includes a motion behavior pattern to be classified; S2, acquiring time series of behavior data of the candidate motion behavior pattern through a motion control sensor; S3, establishing an LSTM motion behavior pattern classification model through the time series; S4, predicting the motion behavior pattern to be classified through the LSTM motion pattern classification model, comparing the prediction result obtained using the sequence within the T time with the prediction result obtained using the sequence within the T+Δt time using the iterative process to obtain the final prediction result, wherein T1≤T≤T2, T1>0, T2>T1, and the incremental step is set to be Δt, Δt>0. The technical solution of the present invention may improve accuracy while reducing the latency of the motion behavior pattern classification.
MOTION BEHAVIOR PATTERN CLASSIFICATION METHOD, SYSTEM AND DEVICE