Gesture-Based Device Association Using RFID and Video Sensors
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Solution Overview
Problem
Existing device association methods using RFID technology are prone to unwanted associations due to ambiguity in determining whether the association is intended, leading to potential misalignment of device relationships.
Innovation Solution
A gesture-based system that uses wireless signals and sensors to detect specific patterns in device movement, allowing for intentional association and disassociation of devices through unique gestures, reducing ambiguity and enabling more precise control over device relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If RFID reader detects devices within predetermined period for association, then association speed is improved, but association accuracy deteriorates due to unwanted associations
Solution Approach 1:
A gesture recognition system serves as an intermediary between RFID detection and device association. The system captures video frames, extracts gesture features, and validates user intent before allowing association, thus preventing unwanted associations while maintaining efficient RFID-based initial detection
Solution Approach 2:
The system performs preliminary gesture validation before finalizing device association. By requiring users to perform specific gestures (such as circular motions or hand waves) that are recognized and verified by the video processing system, the patent ensures intentional association before devices are paired, eliminating ambiguous detections
2Reliability
If gesture detection is added to RFID system, then association accuracy is improved, but system complexity increases
Solution Approach 1:
The system uses a multi-functional smartphone application that combines RFID reader capabilities, video camera for gesture capture, image processing algorithms, and gesture recognition all in one device. This universal approach eliminates the need for separate dedicated gesture recognition hardware, reducing overall system complexity while maintaining high association accuracy
Solution Approach 2:
The system leverages the smartphone's existing capabilities (camera, processor, display) to perform gesture recognition functions. The smartphone serves itself by using its own video processing hardware and software to recognize gestures, eliminating the need for external gesture recognition devices and simplifying the overall system architecture
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
The system effectively eliminates unwanted associations by using gesture detection to ensure intended device pairing, enhancing personalized experiences in environments like theme parks by adapting behavior based on user interactions and preferences.
Implementation Method 1
Individual ones of the devices may be configured to emit a wireless signal responsive to being subjected to an electromagnetic field of a given frequency
Implementation Method 2
movement of a device may be determined using electromagnetic power and/or phase measurements
Data Source
AI summary
Gesture-based association of multiple devices may be facilitated, which may effectuate presentation of content related to associated devices. Gesture detection may reduce or completely eliminate any ambiguity of whether the association is wanted or not. Some implementations may be employed in a theme park in which park guests wear an RFID wristband. During a park visit, when merchandise goods with embedded RFIDs are purchased (e.g., toys and/or other merchandise), the merchandise may be associated with the wristband and, therefore, the park guest wearing the wristband. Such association may give the theme park environment and/or the toy itself a mechanism to adapt their behavior depending on which toy the park guest is carrying. This may contribute to richer storytelling and personalized experiences, which may be realized by using location information, knowledge about the park guest's preferences or previous park visits, favorite attractions, age, language-specific information, and/or other information.