Multi-Modal Gesture Control System for Smart Home
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Solution Overview
Problem
Current technologies for user interaction with devices often rely on touch-based input methods, which are being replaced or supplemented by touch-free techniques, but they lack the ability to seamlessly integrate gestures with other interaction methods like voice commands and eye tracking for enhanced user experience.
Innovation Solution
A gesture detection system that uses image sensors and microphones to identify hand gestures and voice commands, allowing users to interact with devices by pointing at objects or locations and issuing verbal instructions, enabling the execution of commands related to the pointed object or location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If touch-based input devices are replaced with touch-free gesture recognition, then ease of operation is improved, but device complexity increases due to integration of image sensors and multi-modal processing
Solution Approach 1:
The patent combines multiple interaction modalities (gesture recognition via image sensors, voice commands via microphones, and eye tracking) into a unified control system. The processor integrates data from these different sources to execute commands, merging previously separate functions into a single cohesive system that enhances ease of operation while managing complexity through unified processing.
Solution Approach 2:
The system is designed to perform multiple functions through a single integrated platform: it can recognize hand gestures, process voice commands, track eye movements, and execute corresponding actions. This multi-functionality allows the device to replace various specialized input devices with a universal touch-free interface, improving ease of operation across different use cases.
2Adaptability or versatility
If multiple sensors and processing functions are integrated for multi-modal interaction, then adaptability is improved, but device complexity increases
Solution Approach 1:
The integrated system provides universal adaptability by supporting multiple interaction modes (gestures, voice, eye tracking) within a single device architecture. The processor can adapt to different user preferences and situations by selecting appropriate modalities or combining them, enhancing versatility without requiring separate specialized devices for each function.
Solution Approach 2:
The system dynamically adjusts its operation by processing data from different sensors in real-time and adapting its response based on the detected input. The processor can switch between different interaction modalities or combine them depending on the situation, providing dynamic adaptability that enhances versatility while managing complexity through flexible, real-time processing.
3Productivity
If gesture recognition processing is performed in real-time, then productivity is improved, but use of energy increases due to continuous image processing
Solution Approach 1:
The system processes only the necessary portions of image data required for gesture recognition rather than analyzing every pixel continuously. The processor identifies relevant features and patterns in the image stream, performing partial processing that maintains real-time responsiveness while reducing overall energy consumption compared to exhaustive frame-by-frame analysis.
Solution Approach 2:
The gesture recognition system operates periodically by processing images at optimized intervals rather than continuously analyzing every frame. This periodic processing maintains productivity by providing timely gesture response while reducing energy use by skipping unnecessary processing cycles between relevant gestures, creating an efficient rhythm of detection and analysis.
Data Source
AI summary
Systems, devices, methods, and non-transitory computer-readable media are provided for gesture detection and gesture initiated content display. For example, a gesture recognition system is disclosed that includes at least one processor. The processor may be configured to receive at least one image. The processor may also be configured to process the at least one image to identify (a) information corresponding to a hand gesture performed by a user and (b) information corresponding to a surface. The processor may also be configured to display content associated with the identified hand gesture in relation to the surface.