Smart Ring Multi-Finger Gesture Recognition via Capacitive Sensing
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Solution Overview
Problem
Existing smart rings do not support multi-finger mid-air gestures, leading to limitations such as unconventional form factor, social conspicuousness, privacy concerns, high power consumption, and occlusion issues with camera-based systems.
Innovation Solution
A smart ring with an array of proximity sensors around the circumference and a motion sensor, such as an accelerometer, to sense and recognize multi-finger mid-air gestures, providing a conventional form factor, reduced power consumption, and mitigating occlusion problems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fisheye camera is used to capture multi-finger gestures, then gesture recognition capability is improved, but device size and social conspicuousness increase
Solution Approach 1:
The patent replaces the optical camera-based gesture recognition system with a capacitive sensing system. The smart ring uses capacitive sensors to detect finger positions and gestures through mid-air movements without requiring visual capture, thereby eliminating the need for a large fisheye camera while maintaining gesture recognition functionality.
Solution Approach 2:
The patent extracts only the essential sensing function from the camera system. Instead of using a camera to visually capture gestures, the invention uses capacitive sensors to detect the electrical field changes caused by finger movements, extracting the core gesture detection capability while removing the bulky optical components.
2Adaptability or versatility
If a fisheye camera is used to capture multi-finger gestures, then gesture recognition capability is improved, but power consumption increases
Solution Approach 1:
The patent replaces the power-intensive camera system with a low-power capacitive sensing system. Capacitive sensors consume significantly less power than camera modules while achieving the same gesture recognition goal by detecting electrical field changes from finger proximity and movement.
3Adaptability or versatility
If a fisheye camera is used to capture multi-finger gestures, then gesture recognition capability is improved, but privacy concerns and social acceptability worsen
Solution Approach 1:
The patent replaces the camera-based optical sensing system with a capacitive sensing system that detects gestures through electrical field changes. This substitution eliminates the need to visually capture or record user gestures, thereby addressing privacy concerns while maintaining the ability to recognize multi-finger gestures.
4Shape
If a conventional ring form factor is used, then social acceptability is improved, but gesture sensing capability deteriorates
Solution Approach 1:
The patent changes the sensing parameter from optical detection (camera-based) to electrical field detection (capacitive sensing). This parameter change allows the use of a conventional small ring form factor, as capacitive sensors can be miniaturized and integrated into a thin ring structure while still detecting multi-finger gestures through mid-air movements.
Solution Approach 2:
The patent substitutes the camera-based optical sensing mechanism with capacitive sensing, enabling the ring to maintain a conventional form factor. The capacitive sensors detect changes in electrical capacitance caused by finger proximity and movement, providing sufficient gesture sensing capability without requiring the bulk of a camera system.
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
Enables socially acceptable, power-efficient multi-finger mid-air gesture recognition with a conventional ring form factor, minimizing privacy concerns and maintaining reliability even with partial occlusion.
Implementation Method 1
an array of proximity sensors around the circumference of the ring... The proximity sensors may be used to sense the position of fingers of the user's hand
Implementation Method 2
a motion sensor to detect gross movements of the finger, hand, and arm
Data Source
AI summary
Wearable devices, methods and processor-readable media for multi-finger mid-air gesture recognition are described. A smart ring wearable device having an array of proximity sensors located about the circumference of the ring is used, in conjunction with a motion sensor such as an accelerometer, to sense and recognize multi-finger mid-air gestures. The proximity sensors may be used to sense the relative positions and shapes of the fingers of the user's hand. The motion sensor may be used to detect gross movements of the finger, hand, and arm, and to detect other movements such as finger collisions using high-frequency sampling of accelerometer data to sense bio-acoustic vibrations. A gesture-sensing system may be operated by the wearable device, a gesture-controlled device, or another device to recognize the gestures based on the sensor data using a trained support-vector machine as a classifier.