AI Motion Gesture Recognition for Poor-Visibility Control
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Solution Overview
Problem
Existing gesture recognition systems, particularly those using cameras and computer vision, face limitations in functionality when visibility is poor or when a mobile device is used as a controller, restricting their use cases.
Innovation Solution
A gesture recognition system comprising a mobile device with sensors for detecting motion data, a first control device for determining user gestures using artificial intelligence, and a second control device for processing these gestures to generate control commands for applications, allowing for gesture recognition independent of camera visibility and expanding functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If camera-based gesture recognition is used, then gesture control functionality is achieved, but the system fails to work in poor visibility conditions
Solution Approach 1:
The patent replaces the optical camera-based gesture recognition system with a mechanical sensor-based system using accelerometers and gyroscopes in the mobile device. This substitution allows gesture detection to work independently of visual conditions, resolving the contradiction between reliability in gesture recognition and adaptability to poor visibility environments.
Solution Approach 2:
The patent introduces a mediator component - the mobile device with motion sensors - that acts as an intermediary between the user's hand gestures and the vehicle's control system. This mediator captures gestures through accelerometers and gyroscopes, enabling reliable gesture recognition that works in all visibility conditions while maintaining adaptability to different environments.
2Device complexity
If a single integrated control device is used for gesture recognition, then the system structure is simplified, but the development and extension of gesture capabilities becomes more difficult
Solution Approach 1:
The patent segments the gesture recognition system into two independent parts: the mobile device with sensors and AI processing capabilities, and the vehicle's control device that receives and executes gesture commands. This segmentation allows each component to be developed and manufactured independently, making the system easier to develop and extend while maintaining manageable complexity.
Solution Approach 2:
The patent creates a universal interface where the mobile device can recognize various gestures through its sensors and communicate them to the vehicle's control system. This multi-functional approach allows the same sensor-based system to support multiple gesture types and applications, facilitating easier development and extension of gesture capabilities across different use cases.
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 effective gesture recognition in poor lighting conditions and obstructed views, with clear separation of duties between control devices, facilitating easier development and extension of gesture recognition capabilities, and integration with vehicle systems for controlling various functions.
Implementation Method 1
The mobile device comprises at least one sensor for detecting motion data
Data Source
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Figure 3
AI summary
Provided is a gesture recognition system (1) comprising a mobile device (10) holdable or held in a hand of a user, the mobile device (10) having at least one sensor (12) for detecting motion data and a first control device (11), and at least one second control device (20) for controlling at least one application. The first control device (11) is configured to obtain (S1) motion data detected by the at least one sensor (12), determine (S2) a gesture of the user based on the obtained motion data using artificial intelligence, and notify (S3) the at least one second control device (20) of the determined gesture. The at least one second control device (20) is configured to determine a control command for the at least one application depending on the determined gesture (S4), and to output the determined control command to the at least one application (S5).