The application relates to the technical field of user behavior analysis, and discloses a
hearing aid use behavior analysis
system based on multi-dimensional
time sequence characteristics, which comprises a
time alignment module, parameter
channel data, environment
channel data and behavior
channel data are acquired, the data are sorted according to
server time alignment to form multi-channel
time sequence data, asynchronous acquisition is continuously represented on the same time axis, a feature statistical module is used for calculating short-term features of statistical quantities in a preset time window, long-term features of wearing time and average
hearing aid power are statistically calculated according to natural days, the features are combined to form a multi-dimensional
time sequence feature sequence, scene and operation changes are stably described, a channel modeling module is driven by the sequence to form a multi-channel time
sequence model, user behavior feature representation and
hearing loss trend prediction results are output, the short-term fluctuation and the long-term evolution are connected, a behavior clustering module is used for clustering to form a user behavior portrait according to the representation, and individualized test and fitting suggestions are generated in combination with the
hearing loss trend prediction results and the parameter channel data.