Adaptive Gesture Recognition System for Varying Accuracy Conditions
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Solution Overview
Problem
Existing gesture recognition technologies face challenges in accurately recognizing user operations due to varying user states, environmental conditions, and device performance, leading to reduced recognition accuracy and increased user burden.
Innovation Solution
An information processing apparatus and method that acquires recognition accuracy based on sensing data and adjusts user operations accordingly, making a first operation recognizable within a specific range and a second operation recognizable in a different range, allowing for adaptive interaction based on recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If gesture recognition is used for user operation, then hands-free operation is enabled, but recognition accuracy decreases due to user state, environment, and device performance variations
Solution Approach 1:
The system dynamically changes the recognizable operation parameters based on the detected recognition accuracy. When accuracy is high, complex gestures are recognized; when accuracy is low, only simple robust gestures are recognized. This adapts the operation recognition thresholds and criteria according to real-time conditions, resolving the contradiction between enabling hands-free operation and maintaining accuracy.
2Ease of operation
If the same operation method is used for both low and high recognition accuracy cases, then operational simplicity is maintained, but operation reliability decreases due to repeated unrecognized operations
Solution Approach 1:
The system makes the recognizable operation set dynamic rather than static. The control unit adjusts which operations are recognizable based on real-time recognition accuracy assessment. This dynamic adaptation ensures that the operation method matches the current system capability, preventing repeated failures while maintaining simplicity for successfully recognized operations.
Solution Approach 2:
The system implements feedback by continuously monitoring recognition accuracy and using this information to adjust the operation recognition behavior. The acquisition unit obtains recognition accuracy, and the control unit uses this feedback to determine which operations should be recognizable, creating a closed-loop system that improves reliability through adaptive response to recognition performance.
3Adaptability or versatility
If recognition accuracy threshold is lowered to accept more operations, then operation flexibility increases, but false recognition increases reducing reliability
Solution Approach 1:
The system applies different recognition quality standards to different operation types based on current accuracy conditions. High-precision operations require higher recognition thresholds, while robust operations can be recognized with lower thresholds. This local quality approach allows the system to maintain overall flexibility while ensuring reliable recognition for each specific operation type according to current conditions.
Data Source
AI summary
There is provided an information processing apparatus, an information processing method, and a program, the information processing apparatus including: an acquisition unit configured to acquire a recognition accuracy related to a recognition based on sensing data; and a control unit configured to make a first user operation recognizable when the recognition accuracy is included in a first range, and make a second user operation recognizable when the recognition accuracy is included in a second range different from the first range, the second user operation being different from the first user operation and related to the first user operation.