Wearable Wrist Sensor Array for Epidermal Movement Detection
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Solution Overview
Problem
Current wearable devices for information input, such as those using finger or wrist movements, lack efficient detection and recognition of physical changes in the epidermis, leading to limited accuracy and functionality in controlling external devices.
Innovation Solution
A wearable device equipped with a sensor array that detects physical changes in the epidermis, a body movement determination unit to identify movements based on sensing signals, and a transmission unit to control external devices, utilizing a communication network to link with IoT devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a sensor array is used to detect physical changes in the epidermis, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The wearable device divides the detection function into multiple independent sensor units arranged in an array. Each sensor detects physical changes in a specific region of the epidermis, and the results are combined to provide comprehensive movement detection. This segmentation enables high measurement precision while keeping each individual sensor unit simple and manageable.
Solution Approach 2:
The sensor array is designed to detect multiple types of physical changes in the epidermis simultaneously, including strain, curvature, and displacement. This multi-functional capability allows a single sensor array to capture comprehensive movement information, improving measurement precision without requiring multiple separate detection systems.
2Measurement precision
If the density of sensors is increased to match muscle density, then measurement precision is improved, but manufacturing precision requirements increase
Solution Approach 1:
The sensor array employs non-uniform density distribution where sensor density is increased in regions with higher muscle density and decreased in regions with lower muscle density. This local quality adjustment optimizes measurement precision for movement detection while reducing manufacturing complexity compared to uniform high-density placement throughout the entire area.
Solution Approach 2:
The patent changes the density parameter of the sensor array to correspond with the underlying muscle density distribution. By adjusting sensor density as a variable parameter rather than maintaining a fixed uniform pattern, the system achieves high measurement precision while allowing flexible manufacturing tolerances.
3Reliability
If sensor array is used to detect epidermal changes, then reliability is improved, but loss of information increases due to signal processing complexity
Solution Approach 1:
The patent introduces an intermediary processing layer that converts complex sensor array outputs into simplified movement representations. This intermediary function filters and interprets the raw sensor signals, maintaining reliable detection while reducing information loss by extracting only the essential movement parameters needed for control.
Solution Approach 2:
The system incorporates feedback mechanisms where the processed movement information is continuously compared with expected patterns. This feedback loop allows the system to correct processing errors and maintain high reliability while minimizing information loss through iterative refinement of the movement detection algorithm.
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 accurate recognition and input of user movements, allowing for precise control of external devices, enhancing user interaction with technology through intuitive gesture-based input methods.
Implementation Method 1
The sensor array may detect a strain on the epidermis of the corresponding body area
Data Source
AI summary
A wearable device is disclosed. In one embodiment, the device includes: a sensor array having a plurality of sensors each detecting a physical change in epidermis of a corresponding body area and a body movement determination unit configured to determine movement of a body part based on sensing signals respectively received from the plurality of sensors.