Near-Infrasonic Gesture Control for Wearable User Input
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Solution Overview
Problem
Miniaturized wearable electronics face challenges in providing an intuitive, reliable, and robust user interface due to limitations in capacitive touch surfaces and reliance on mechanical vibrations detected by accelerometers, which are uncomfortable, unreliable, and require individual calibration, increasing costs and complexity.
Innovation Solution
A near infrasonic sound-based control system that uses microphones to detect gestures on the user's skin, converting them into near infrasonic sound waves that can be conducted through the skull and recognized by a feedback microphone, allowing for gesture recognition independent of the device's form factor and interface, and utilizing digital signal processing to isolate and identify these sounds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If accelerometers are used to detect mechanical vibrations for user input, then gesture detection capability is provided, but the system requires individual calibration for each device type, increasing manufacturing complexity and cost
Solution Approach 1:
The patent replaces the mechanical vibration detection system (accelerometer) with an acoustic detection system (microphone). The microphone detects acoustic waves generated by gestures on the user's skin, which are then processed to identify gesture patterns. This substitution eliminates the need for mechanical coupling and individual device calibration, as acoustic waves propagate through air and can be detected by the microphone without direct contact or precise positioning requirements.
2Measurement precision
If accelerometer mass and position are optimized for vibration detection, then detection sensitivity improves, but the solution is not adaptable to different device form factors and interfaces
Solution Approach 1:
The patent implements a universal gesture detection solution using a microphone that can detect acoustic waves from gestures on any part of the user's body (face, head, torso, limbs). The microphone-based system is not constrained by device form factor, interface material (silicon or otherwise), or placement position. The same hardware component (microphone) and detection algorithm work across all device types, providing multi-functionality and broad adaptability without requiring form-factor-specific optimization.
3Reliability
If strong mechanical movements are used for input detection, then accelerometer detection reliability improves, but user comfort deteriorates
Solution Approach 1:
The patent replaces strong mechanical movements with gentle acoustic gestures. Users perform light touches, taps, or strokes on their skin that generate acoustic waves detectable by the microphone. These acoustic gestures require minimal physical force, making them comfortable for users, while the microphone's high sensitivity to acoustic pressure changes ensures reliable detection of these subtle movements.
4Volume of moving object
If capacitive touch surfaces are reduced in size for miniaturization, then device portability improves, but user interface reliability deteriorates
Solution Approach 1:
The patent replaces the capacitive touch surface mechanism with an acoustic wave detection mechanism. Instead of requiring users to touch a small capacitive surface with their finger, the system detects acoustic waves generated by gestures on the user's skin. This substitution allows the device to maintain miniaturized dimensions while providing a reliable user interface that is not constrained by the size of physical input surfaces.
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
Provides a cost-effective, versatile, and accurate user interface for miniaturized wearable electronics by standardizing gesture detection across various form factors, reducing reliance on mechanical vibrations and ambient noise interference.
Implementation Method 1
detecting a vibration as an input using accelerometers
Implementation Method 2
converting them into near infrasonic sound waves that can be conducted through the skull
Implementation Method 3
A near infrasonic sound-based control system that uses microphones to detect gestures on the user's skin, converting them into near infrasonic sound waves
Implementation Method 4
utilizing digital signal processing to isolate and identify these sounds
Data Source
AI summary
A near infrasonic sound-based control system and method for a wearable electronic device can include: detecting a near infrasonic sound wave with a microphone, the near infrasonic sound wave resulting from a gesture of a user, correlating an input command to the near infrasonic sound wave; and executing the input command on the wearable electronic device.