Directional impression analysis using deep learning
US11544866B2 · kind B2 · utility
1Cited by
57References
26Claims
0Family size
Assignee
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Key dates
| Filing date | Nov 4, 2020 |
| Grant date | Jan 3, 2023 |
| Priority date | — |
| Expiry date | Dec 10, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.