Invention Grant
- Patent Title: Directional impression analysis using deep learning
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Application No.: US16388772Application Date: 2019-04-18
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Publication No.: US10853965B2Publication Date: 2020-12-01
- Inventor: Jordan E. Fisher , Michael S. Suswal , Warren Green
- Applicant: STANDARD COGNITION, CORP
- Applicant Address: US CA San Francisco
- Assignee: STANDARD COGNITION, CORP
- Current Assignee: STANDARD COGNITION, CORP
- Current Assignee Address: US CA San Francisco
- Agency: Haynes Beffel & Wolfeld LLP
- Main IPC: G06T7/70
- IPC: G06T7/70 ; G06F16/53 ; G06K9/00 ; G06K9/62 ; G06Q10/08

Abstract:
Systems and techniques are provided for detecting gaze direction of subjects in an area of real space. The system receives a plurality of sequences of frames of corresponding fields of view in the real space. The system uses sequences of frames in a plurality of sequences of frames to identify locations of an identified subject and gaze directions of the subject in the area of real space over time. The system includes logic having access to a database identifying locations of items in the area of real space. The system identifies items in the area of real space matching the identified gaze directions of the identified subject.
Public/Granted literature
- US20190244386A1 DIRECTIONAL IMPRESSION ANALYSIS USING DEEP LEARNING Public/Granted day:2019-08-08
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