EMI Sensor Gesture Recognition for Wearables
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing gesture recognition systems for electronic devices, such as smartwatches and smartphones, face challenges in recognizing user gestures when the user's body is out of the camera's view or in low-light conditions, particularly with head-mounted devices, requiring high throughput and accurate image analysis.
Innovation Solution
The use of an EMI sensor to recognize user gestures by sensing electromagnetic interference patterns from the user's body, allowing for reduced throughput and effective gesture recognition regardless of camera angle or lighting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a camera is used to recognize user gestures, then gesture recognition capability is provided, but throughput requirement increases and reliability decreases in certain conditions
Solution Approach 1:
The patent replaces the optical camera-based gesture recognition system with an electromagnetic interference (EMI) sensing system. The EMI sensor detects electromagnetic signals generated by muscle movements during gestures, substituting the mechanical/optical imaging approach with an electromagnetic field-based detection method. This eliminates the need for high-throughput image analysis while providing reliable gesture recognition.
Solution Approach 2:
The patent changes the detection parameter from optical image data to electromagnetic interference signals. By monitoring EMI patterns generated by muscle contractions during gestures, the system achieves reliable gesture recognition without requiring high computational throughput for image processing. The EMI sensor captures physiological signals that directly correlate with gesture execution.
2Reliability
If a camera is used for gesture recognition, then gesture detection is possible, but reliability decreases when body is out of view or in dark places
Solution Approach 1:
The patent replaces the camera-based optical detection system with an EMI sensing system that detects electromagnetic signals from muscle movements. This substitution eliminates dependency on visual conditions such as lighting and camera view angles, as EMI sensors can detect gestures through body contact regardless of environmental factors.
Solution Approach 2:
The patent introduces an EMI sensor as an intermediary between the user's body and the gesture recognition system. The sensor is placed in contact with the user's body to directly detect electromagnetic signals generated by muscle movements, serving as a reliable mediator that bypasses environmental constraints affecting camera-based systems.
3Adaptability or versatility
If a head-mounted device is used, then wearable functionality is provided, but gesture recognition reliability decreases due to obscured camera view
Solution Approach 1:
The patent replaces the camera-based gesture recognition system with an EMI sensing system specifically suited for head-mounted devices. The EMI sensor can be integrated into the wearable device and placed in direct contact with the user's head or body, detecting gestures through electromagnetic signals without requiring visual line-of-sight, thus maintaining reliability while preserving wearable functionality.
Solution Approach 2:
The patent makes the gesture recognition system universal by implementing it through EMI sensing rather than camera-based detection. This approach allows the same sensing mechanism to work effectively across different wearable form factors and usage scenarios, including head-mounted devices, without being constrained by view angle or lighting conditions.
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 reliable gesture recognition and control of electronic devices based on EMI patterns, reducing the need for high-throughput image analysis and improving functionality in challenging environments.
Implementation Method 1
an electromagnetic interference (EMI) sensor that senses an EMI pattern
Data Source
Figure 1
Figure 2
Figure 3
AI summary
An electronic device includes an electromagnetic interference (EMI) sensor that senses EMI patterns from an outside of the electronic device and disposed at a location touchable by a body of a user of the electronic device, a memory that stores one or more databases associated with at least a part of the EMI patterns, gestures of the user, and functions executable by the electronic device, and at least one processor electrically connected with the EMI sensor and the memory. The at least one processor is configured to sense an EMI pattern, which is changed according to a gesture among the gestures of the user, from among the EMI patterns from the body of the user using the EMI sensor, and to execute a function, which corresponds to the sensed EMI pattern based on at least a part of the one or more databases, from among the functions.