Camera Gesture Recognition Termination to Prevent Misrecognition
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Solution Overview
Problem
Electronic devices often misrecognize user gestures intended for function execution, leading to unintended function activation.
Innovation Solution
An electronic device with a camera module and processor that detects gesture movements and displays gesture recognition termination on a display until a variance in movement is less than a specified threshold, preventing misrecognition by maintaining or reducing the gesture recognition level based on real-time movement analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If gesture recognition function is added to smart phone, then functionality and user experience are improved, but probability of misrecognizing gesture increases due to accidental touches
Solution Approach 1:
The patent applies dynamics by transitioning from static touch detection to dynamic gesture recognition. The system continuously tracks touch movements over time, analyzing velocity, acceleration, and motion patterns to distinguish intentional gestures from accidental touches. This dynamic approach enables the device to adapt to different user intentions based on motion characteristics rather than relying on fixed touch positions.
Solution Approach 2:
The patent implements feedback mechanisms by providing visual confirmation through icons displayed at touch positions and haptic feedback through vibration patterns. When a gesture is detected, the system provides immediate feedback to confirm recognition, and when no valid gesture is detected, it provides feedback indicating an accidental touch. This feedback loop helps users understand system responses and improves overall recognition reliability.
2Ease of operation
If gesture recognition is implemented, then ease of operation is improved, but frequency of accidental gesture recognition increases
Solution Approach 1:
The patent applies local quality by analyzing specific characteristics of touch events at different locations and contexts. Different gesture recognition thresholds and validation criteria are applied based on the touch position, device state, and contextual information. This allows the system to be more permissive in certain contexts while maintaining strict validation in others, reducing accidental recognitions without compromising overall ease of operation.
Solution Approach 2:
The patent implements preliminary action by pre-defining gesture recognition criteria, velocity thresholds, and validation rules before gesture detection occurs. The system prepares multiple gesture templates and recognition algorithms in advance, enabling rapid and accurate distinction between intentional gestures and accidental touches without requiring complex real-time decision-making, thus maintaining ease of operation while reducing errors.
3Adaptability or versatility
If multiple gesture types are supported, then adaptability is improved, but complexity of gesture recognition system increases
Solution Approach 1:
The patent applies segmentation by dividing the gesture recognition system into distinct modules: touch detection module, gesture classification module, validation module, and feedback module. Each module handles specific aspects of gesture processing, allowing multiple gesture types to be recognized through coordinated operation of these segmented components rather than a monolithic complex system. This modular approach manages complexity while supporting gesture variety.
Solution Approach 2:
The patent implements universality by designing a unified gesture recognition framework that handles multiple gesture types through common algorithms and data structures. The same core recognition engine processes different gesture types by applying different criteria and thresholds, eliminating the need for separate recognition systems for each gesture type. This universal approach supports gesture variety while controlling system complexity.
Data Source
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AI summary
An electronic device according to various embodiments comprises: a camera module; a display; and a processor, wherein the processor may be configured to: in a first state in which a gesture for executing a function is recognizable, detect, by means of the camera module, a movement of an object to be recognized for a gesture; and when it is identified that a variation of the detected movement is less than a reference variation during a predetermined time period, display, on the display, that termination of a recognition of the gesture is in progress, until before the recognition of the gesture is terminated. Various other embodiments are possible.