Detecting a frame-of-reference change in a smart-device-based radar system
US12055656B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Sep 15, 2022 |
| Grant date | Aug 6, 2024 |
| Priority date | — |
| Expiry date | Dec 23, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F3/017
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Techniques and apparatuses are described that implement a smart-device-based radar system capable of detecting a frame-of-reference change. In particular, a radar system includes a frame-of-reference machine-learned module trained to recognize whether or not the radar system's frame of reference changes. The frame-of-reference machine-learned module analyzes complex radar data generated from at least one chirp of a reflected radar signal to analyze a relative motion of at least one object over time. By analyzing the complex radar data directly using machine learning, the radar system can operate as a motion sensor without relying on non-radar-based sensors, such as gyroscopes, inertial sensors, or accelerometers. With knowledge of whether the frame-of-reference is stationary or moving, the radar system can determine whether or not a gesture is likely to occur and, in some cases, compensate for the relative motion of the radar system itself.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.