Radar Gesture Recognition Gating for False Input and Power Control
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Solution Overview
Problem
Radar-based gesture-recognition systems in computing devices often waste electrical power and cause malfunctions due to false-positive inputs, leading to inefficient power consumption and reduced usability.
Innovation Solution
Implement context-sensitive gating mechanisms using sensor data from low-power sensors like IMUs and proximity sensors to determine user activity and environment, disabling radar-based gesture-recognition when unreliable and re-enabling it in suitable contexts to prevent false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If gesture recognition is implemented using radar signals, then contactless control capability is achieved, but false detections occur due to environmental factors such as air conditioning units and pets
Solution Approach 1:
The system changes multiple parameters simultaneously including signal frequency (77 GHz radar), time-of-flight measurements, Doppler shift analysis, and signal amplitude thresholds to distinguish genuine gestures from environmental interference. Multiple parameter thresholds are adjusted dynamically based on environmental conditions
Solution Approach 2:
The radar system acts as an intermediary between the user and the electronic device, detecting gestures through electromagnetic waves rather than direct contact. This intermediary mechanism enables contactless control while filtering out false detections through signal processing
2Speed
If gesture recognition is activated continuously, then responsiveness is improved, but power consumption increases significantly
Solution Approach 1:
The system uses periodic radar signal transmission with adjustable duty cycles, switching between active scanning and idle states. The radar emits signals periodically rather than continuously, reducing power consumption while maintaining detection capability during active periods
Solution Approach 2:
The system performs preliminary detection using low-power mechanisms before activating full gesture recognition. Initial presence detection triggers more intensive radar scanning only when needed, optimizing the balance between responsiveness and power consumption
3Reliability
If multiple gesture thresholds are set to improve accuracy, then false detections are reduced, but system complexity increases
Solution Approach 1:
The gesture recognition system is segmented into multiple independent detection layers: presence detection, gesture identification, and confirmation validation. Each layer has its own thresholds and logic, breaking down complex multi-threshold decision-making into manageable segments that are easier to implement and maintain
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Conserves power, improves accuracy, and enhances user satisfaction by preventing false-positive gestures, thus optimizing radar-based gesture-recognition systems.
Implementation Method 1
In one embodiment, the gesture detection module is configured to detect the gesture based on a time-of-flight of the radar signal
Implementation Method 2
the gesture detection module is configured to detect the gesture based on a Doppler shift of the radar signal
Data Source
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AI summary
This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor (108) and/or a movement sensor (108) produces a context of a user equipment (102). The techniques and systems enable the user equipment (102) to recognize contexts when a radar system (104) can be unreliable and should not be used for gesture-recognition, enabling the user equipment (102) to automatically disable or "gate" the output from the radar system (104) according to context. The user equipment (102) prevents the radar system (104) from transitioning to a high-power state (1910) to perform gesture-recognition in contexts where radar data detected by the radar system (104) is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.