The invention relates to a dynamic blurred
image motion recognition method and
system for fitness training. The method comprises the following steps: acquiring multi-angle video
stream data of a fitness area and an affiliated
water area, and performing reflection removal and water wave dynamic suppression preprocessing to obtain an
adaptive video stream; inputting a
posture recognition model to obtain a
human body posture key point and multi-target
tracking data, analyzing an instrument state change sequence to obtain an interaction state
detection threshold, and combining the two to input an action anomaly classification model to output an anomaly type
label; and extracting corresponding risk data, calculating abnormal static and
coma event probabilities, and integrating multi-
source data to generate a comprehensive
risk assessment report containing risk types, probabilities, influence ranges and disposal suggestions. By adopting the method, the defects of manual supervision can be overcome, the multi-scene requirements of fitness area instrument safety and auxiliary
water area drowning protection are met, and the intelligence and comprehensiveness of fitness place safety protection are improved.