Electrostatic Foot Gesture Detection for Low-Complexity Device Control
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Solution Overview
Problem
Existing devices for monitoring user activity and step counting, such as wearable devices, face challenges in accurately counting steps due to variations in user movement patterns and physical conditions, leading to unreliable signal detection and processing.
Innovation Solution
A system and method utilizing an electrostatic charge variation sensor to detect the upward and downward movements of a user's foot, generating a command signal to control device functionality, which is economical and requires reduced computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If accelerometer sensors and complex algorithms are used for step counting, then measurement capability is improved, but device complexity increases and reliability decreases for atypical users
Solution Approach 1:
The patent replaces mechanical accelerometer-based step detection with an electric field sensing system. The sensor detects electrostatic charge variations caused by foot movements, eliminating the need for complex mechanical signal processing algorithms and providing reliable detection across diverse user profiles without calibration.
Solution Approach 2:
The invention changes the detection parameter from mechanical acceleration to electrostatic charge variation. This parameter change enables direct detection of foot movements through charge transfer effects, simplifying the measurement model and improving reliability for users with atypical movement patterns.
2Measurement precision
If multiple sensors and sophisticated algorithms are deployed, then measurement precision is improved, but ease of operation deteriorates due to calibration requirements
Solution Approach 1:
The electric field sensor system performs self-calibration by automatically adapting to each user's electrostatic characteristics and movement patterns. The system learns and adjusts to individual users without requiring manual calibration procedures, maintaining high measurement precision while eliminating operational complexity.
3Reliability
If electrostatic charge sensors are used for gesture detection, then reliability is improved, but computational load increases
Solution Approach 1:
The patent extracts and processes only the essential features from electrostatic charge signals - specifically detecting charge transfer events and their temporal patterns. This selective extraction approach maintains high gesture detection reliability while minimizing computational requirements by focusing only on critical signal characteristics.
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 and accurate control of device functionality based on user gestures, independent of ambient conditions and user movement variations, without the need for complex signal processing or hand-based interactions.
Implementation Method 1
detecting as a consequence of this gesture a variation of the electrostatic charge of the user's body
Data Source
AI summary
An embodiment method for controlling at least one functionality of an electronic device on the basis of a gesture of a user comprises detecting, by a sensor, a variation of electrostatic charge of the user during the execution of the gesture and generating a charge variation signal. The gesture includes moving at least one foot upward and, subsequently, downward. The method further includes, by a processing unit, acquiring the charge variation signal, detecting, in the charge variation signal, a characteristic identifying the gesture of moving the foot upward, detecting, in the charge variation signal, a characteristic identifying the gesture of moving the foot downward, and controlling the functionality of the electronic device only in the event that both the first and the second characteristics have been detected.