Gesture Recognition System for Hands-Free Control
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Solution Overview
Problem
Existing methods for controlling electronic devices lack effective means to accurately communicate and confirm user intent, particularly in hands-free and voice-free scenarios, leading to limitations in accessibility and usability across various applications.
Innovation Solution
The development of a system that utilizes Time and Magnitude Bounded (TMB) body actions, modifier actions, gesture wake-up sequences, and session wake-up sequences to interpret and confirm user intent through a symbolic language, enabling hands-free and voice-free control of electronic devices by recognizing a range of body motions, positions, and facial expressions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional controllers are used to control electronic devices, then the control functionality is achieved, but the user must physically hold and touch the controller which reduces accessibility and usability in hands-free scenarios
Solution Approach 1:
The patent replaces the mechanical controller-holding interaction with a gesture recognition system that uses computer vision and sensor data to detect and interpret body movements, facial expressions, and voice commands, thereby eliminating the need for physical contact with traditional controllers
Solution Approach 2:
The system introduces an intermediary gesture recognition layer between the user and the electronic device, using cameras, sensors, and processing algorithms as mediators to translate physical gestures into control commands without requiring direct controller interaction
2Reliability
If gesture-based control is implemented without intent confirmation, then hands-free operation is enabled, but user intent cannot be accurately communicated or confirmed leading to control errors
Solution Approach 1:
The system implements feedback mechanisms where the detected gesture is processed and the resulting control action is confirmed back to the user, allowing for intent verification and correction before execution, thereby improving reliability of gesture interpretation
Solution Approach 2:
The system performs preliminary analysis and validation of detected gestures before executing control commands, using preprocessing steps to filter noise, validate gesture completeness, and predict user intent to ensure accurate interpretation before action is taken
3Adaptability or versatility
If multiple body parts and gestures are monitored for comprehensive control, then the versatility of control methods is improved, but the difficulty of detecting and measuring gestures increases
Solution Approach 1:
The system segments the gesture recognition task into separate detection modules for different body parts (hands, face, voice) and gesture types, allowing each module to specialize in detecting specific movements while working together to provide comprehensive control capabilities
Solution Approach 2:
The patent creates a universal gesture recognition framework that can detect and interpret multiple types of gestures (hand movements, facial expressions, voice commands) using a common processing architecture, thereby achieving versatility without proportionally increasing detection difficulty
Data Source
AI summary
User interaction concepts, principles and algorithms for gestures involving facial expressions, mental activity, and other body actions are disclosed. User interaction concepts, principles and algorithms for enabling hands-free and voice-free interaction with electronic devices are disclosed. Apparatuses, systems, computer implementable methods, and non-transient computer storage media storing instructions, implementing the disclosed concepts, principles and algorithms are disclosed. Gestures for systems using eye gaze and head tracking that can be used with augmented, mixed or virtual reality, mobile or desktop computing are disclosed. Use of periods of limited activity and consecutive body actions in orthogonal axes is disclosed.