EMG Sensor User Interface for Smart Device Input Efficiency
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Solution Overview
Problem
Typical smart devices with touch screens face challenges in efficiently utilizing limited screen space for user interactions, requiring multiple touches and taps for complex operations, which can be cumbersome on small screens.
Innovation Solution
The integration of an EMG sensor that identifies which finger is touching the screen and the touch strength, allowing for more intuitive and efficient user inputs by determining specific actions based on position and muscle signal data, enabling single-key operations for tasks like letter selection, deletion, and zooming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a typical virtual keyboard is displayed on the touch screen to accommodate different keys, then the user can perform various input operations, but the effective remaining display area is reduced
Solution Approach 1:
The patent extracts the finger identification function from the touch screen interface and implements it through an EMG sensor worn on the user's hand. This separates the input method from the display area requirements, allowing the virtual keyboard to be minimized or eliminated while maintaining full input capability through muscle signal detection
Solution Approach 2:
The patent replaces the mechanical touch-based input system with an electromyographic signal-based system. Instead of requiring physical contact with keyboard keys, the system uses EMG sensors to detect muscle movements and translates them into input commands, thereby freeing up display space
2Adaptability or versatility
If multiple touches or taps are required to implement composite key strokes and zooming operations, then the user can perform complex operations, but the number of required inputs and time consumption increase
Solution Approach 1:
The patent makes the EMG sensor system universal by enabling it to detect and interpret multiple types of input operations (single tap, double tap, long press, composite key strokes, zooming) through a single sensor platform. The system identifies different operations based on the pattern and duration of muscle signals, allowing one sensor to replace multiple input mechanisms
Solution Approach 2:
The patent changes the detection parameter from physical touch characteristics (position, pressure, duration) to electromyographic signal characteristics (muscle activation pattern, signal amplitude, temporal duration). This parameter transformation enables the system to interpret complex operations like zooming and composite key strokes through natural hand movements rather than requiring multiple discrete taps
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
This approach enhances user interface efficiency by reducing the number of required inputs, expanding the effective display area on small screens and providing a more intuitive and convenient interaction experience.
Implementation Method 1
receiving an electrical signal from an electromyography (EMG) sensor worn on a user, determining a user input based on the received electrical signal and position information about a determined position of a detected touch of the user on a touch screen
Data Source
AI summary
A user interface method and apparatus are provided. A user interface method of a smart device includes receiving an electrical signal from an electromyography (EMG) sensor worn on a user, determining a user input based on the received electrical signal and position information about a determined position of a detected touch of the user on a touch screen, and controlling operation of the smart device in response to the determined user input.