Automatic depression detection method based on audio-video

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United States of America

PATENT NO 11963771
APP PUB NO 20220265184A1
SERIAL NO

17472191

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Abstract

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Disclosed is an automatic depression detection method using audio-video, including: acquiring original data containing two modalities of long-term audio file and long-term video file from an audio-video file; dividing the long-term audio file into several audio segments, and meanwhile dividing the long-term video file into a plurality of video segments; inputting each audio segment/each video segment into an audio feature extraction network/a video feature extraction network to obtain in-depth audio features/in-depth video features; calculating the in-depth audio features and the in-depth video features by using multi-head attention mechanism so as to obtain attention audio features and attention video features; aggregating the attention audio features and the attention video features into audio-video features; and inputting the audio-video features into a decision network to predict a depression level of an individual in the audio-video file.

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Patent Owner(s)

  • INSTITUTE OF AUTOMATION CHINESE ACADEMY OF SCIENCES

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Cai, Cong Beijing, CN 1 0
Liu, Bin Beijing, CN 903 6240
Niu, Mingyue Beijing, CN 2 0
Tao, Jianhua Beijing, CN 23 8

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