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US Patent 11963771 Automatic depression detection method based on audio-video

Patent 11963771 was granted and assigned to Institute of Automation, Chinese Academy of Sciences on April, 2024 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Patent Applicant
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Institute of Automation, Chinese Academy of Sciences
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Current Assignee
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Institute of Automation, Chinese Academy of Sciences
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119637710
Patent Inventor Names
Jianhua Tao0
Bin Liu0
Mingyue Niu0
Cong Cai0
Date of Patent
April 23, 2024
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Patent Application Number
174721910
Date Filed
September 10, 2021
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Patent Citations
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US Patent 11232290 Image analysis using sub-sectional component evaluation to augment classifier usage
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Patent Primary Examiner
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Mohammed Rachedine
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Patent abstract

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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