Optical Bone Detection in Wearable Devices
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Solution Overview
Problem
Current wearable electronic devices face challenges in seamlessly integrating gesture recognition and health monitoring while maintaining power efficiency and user comfort, particularly in accurately detecting bone structures and tissue characteristics for intuitive control and biometric authentication.
Innovation Solution
A wearable device equipped with a light source and sensors that emit and detect light to penetrate and scatter through body tissues, utilizing optical detection systems to identify gestures and measure health metrics by analyzing the patterns of light diffusion, which are then processed to provide accurate user input and biometric data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical sensors are used to detect bone structures and tissue characteristics, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The optical sensor operates in periodic measurement cycles rather than continuously. The controller activates the light source and sensor only when gesture detection is required or at scheduled intervals, allowing the system to maintain high measurement precision when needed while significantly reducing average power consumption during idle periods.
Solution Approach 2:
The system uses multiple light sources with different wavelengths (including infrared) and selectively activates only the necessary subset based on the specific measurement requirement. For bone structure detection, infrared wavelengths are prioritized as they provide better penetration and contrast, while visible light sources remain inactive unless additional tissue characterization is needed, thus reducing overall energy usage.
2Measurement precision
If multiple light sources and sensors are integrated for comprehensive detection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The optical sensor array is designed with multi-functionality where the same hardware components serve multiple purposes. The light sources operate at different wavelengths that can detect both bone structures and soft tissue characteristics, while the sensors can capture reflections from various tissue types. A single measurement campaign thus provides comprehensive biometric data without requiring separate dedicated sensor systems for each function.
Solution Approach 2:
The patent combines gesture recognition functionality with health monitoring capabilities in a single integrated device. The same optical sensors that detect hand gestures for device control also measure tissue characteristics and bone structures for biometric authentication and health monitoring, eliminating the need for separate sensor systems and reducing overall device complexity.
3Ease of operation
If optical detection is used for gesture recognition and health monitoring, then ease of operation is improved, but use of energy increases
Solution Approach 1:
The optical detection system operates periodically rather than continuously for gesture recognition. The controller monitors for gesture conditions and activates the light source and sensor only when a gesture is detected or anticipated, enabling intuitive hands-free control while minimizing energy consumption during non-interactive periods.
Solution Approach 2:
The system uses the user's own hand movements to trigger measurement cycles. When the controller detects that a user is attempting to perform a gesture (through preliminary optical sensing or other sensors), it automatically activates the full optical detection sequence without requiring additional user input, making the system both easy to operate and energy-efficient by activating only when needed.
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 efficient and accurate gesture recognition, health monitoring, and biometric authentication by effectively detecting bone structures and tissue characteristics, enhancing user interaction and device control while maintaining power efficiency and comfort.
Implementation Method 1
detecting a pattern of diffusion of the emitted light
Implementation Method 2
light that penetrates into a portion of a user's body
Data Source
AI summary
In one embodiment, a method may include outputting one or more sensor signals from an electronic device into a portion of a user's body, and detecting one or more deflected signals from the one or more sensor signals. The method may include detecting a bone structure of the user's body based on the one or more deflected signals. Then, the method may include determining a user measurement based on the one or more deflected signals, the health measurement being adjusted by the detected bone structure.