Hands-Free Controller Using Head Motion and Facial Expression Input
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Solution Overview
Problem
Existing technologies for controlling electronic devices without handheld and touch-activated controllers face limitations such as lack of hands-free or legs-free selection/clicking, complexity, lack of accuracy and precision, lack of speed, lack of portability, and high cost, resulting in limited commercial success of hands-free computer and electronic device controller products.
Innovation Solution
An apparatus and method utilizing facial expression and body motion sensors, including optoelectronic sensors, to generate signals for controlling electronic devices, with processors determining when facial expressions cross predefined levels to initiate or terminate control signals based on body motion, allowing hands-free interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If hands-free control methods are implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The controller integrates multiple sensor types (optoelectronic sensors, proximity sensors, image sensors) and processing capabilities into a single device that can detect various user intentions through different modalities (facial expressions, body motions, proximity), allowing one device to perform multiple control functions without requiring separate specialized devices for each sensing modality
Solution Approach 2:
The processor acts as an intermediary that receives raw data from multiple sensor types, processes and compares the data against threshold levels, and generates appropriate control signals. This intermediate processing layer coordinates the complexity of multiple sensors while presenting a simplified interface to the electronic device being controlled
2Measurement precision
If multiple sensor types are used to improve detection accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The detection system is segmented into distinct functional modules: optoelectronic sensors for facial expression detection, proximity sensors for distance measurement, and image sensors for visual recognition. Each sensor type is dedicated to detecting specific aspects of user intention, allowing the system to achieve high measurement precision through specialized detection while maintaining modular architecture that manages complexity
Solution Approach 2:
Multiple sensor types are merged into a unified control system where the processor integrates data from optoelectronic, proximity, and image sensors. The system combines the strengths of each sensor modality to achieve comprehensive user intention detection, with the processor serving as a central hub that harmonizes the complex multi-sensor architecture into coherent control output
3Adaptability or versatility
If facial expression and body motion sensing is implemented, then adaptability is improved, but ease of manufacture deteriorates
Solution Approach 1:
The controller is designed as a universal device that can detect multiple types of user intentions (facial expressions, body motions, proximity changes) using integrated sensor arrays. This multi-functional design allows a single manufactured unit to adapt to various control scenarios and user preferences, achieving high versatility without requiring multiple specialized devices for different sensing capabilities
Data Source
AI summary
A system for a user to communicate with an electronic device, the system having one or more processors configured to receive head motion information (Head Info) indicative of at least one of motion and position of the user's head, one or more head sensors configured to provide at least a portion of said Head Info, and one or more display mechanisms configured to display an Object of Interest (OOI). The one or more processors are configured to analyze said Head Info to determine head velocity information (Velocity Info) indicative of a magnitude of velocity of the user's head, and determine a magnitude of motion of said OOI based on predefined ranges of values of said Velocity Info.