Image Processing Apparatus for Dynamic Gesture Recognition
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Solution Overview
Problem
Existing gesture recognition technologies face challenges in convenience and recognition performance, as they require users to wear or hold specific objects, and individual variations in body shape and color affect recognition accuracy.
Innovation Solution
An image processing apparatus and method that allows gesture recognition using arbitrary target objects, enhancing user convenience and recognition performance by extracting and tracking objects based on predefined movements, without the need for specific tools or objects, and accommodating user-specific body parts as targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a target object registered in advance is used for gesture recognition, then recognition performance is enhanced, but user convenience deteriorates because the user must wear or hold the target object without fail
Solution Approach 1:
The system dynamically switches between two gesture recognition modes: using a registered target object when available (high recognition performance) and using body parts when the target object is not present (high convenience). This dynamic adaptation resolves the contradiction by allowing the system to optimize for either performance or convenience based on real-time conditions.
2Ease of operation
If part of the body of the user is used for gesture recognition, then user convenience is improved, but recognition performance deteriorates due to individual variations in shape and color
Solution Approach 1:
The system dynamically selects the recognition mode based on presence of target object, switching between body-part-based recognition (convenient but less accurate) and target-object-based recognition (accurate but requires carrying object). This resolves the contradiction by allowing optimization for either convenience or performance depending on situational requirements.
3Measurement precision
If a specific tool or object is required for gesture recognition, then recognition accuracy is improved, but device complexity and user burden increase
Solution Approach 1:
The system is designed to perform multiple functions: it can recognize gestures using either a registered target object or body parts. This multi-functionality allows the system to maintain high recognition accuracy when a target object is available while also being capable of operation without any additional tools, thereby reducing the need for specialized equipment and simplifying the overall system requirements.
Data Source
AI summary
An image processing apparatus includes an image input configured to receive image data, a target extraction device configured to extract an object from the image data as a target object based on recognizing a first movement by the object, and a gesture recognition device configured to issue a command based on recognizing a second movement by the target object.


