Gesture Recognition Apparatus with Real-Time Prediction Feedback
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Solution Overview
Problem
Existing gesture recognition systems fail to provide adequate feedback to users regarding gesture prediction and reliability, leading to inadequate correction of erroneous inputs and lack of guidance in inputting gestures correctly.
Innovation Solution
A gesture recognition apparatus and method that includes a notification unit to inform users of gesture prediction information, such as the predicted gesture and its reliability, allowing users to correct inputs and understand how to perform gestures through real-time feedback during the input process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If gesture recognition is performed using a set of gesture information based on video camera or microphone input, then the system can recognize user actions and speech, but appropriate gesture feedback is not sufficiently performed to correct erroneous inputs or teach users proper gesture input methods
Solution Approach 1:
The system performs preliminary gesture prediction during the input process before the gesture is complete. The notification unit displays predicted gesture information and reliability in real-time, allowing users to correct inputs before final recognition, thus preventing erroneous inputs rather than just detecting them after completion.
Solution Approach 2:
The system implements continuous feedback by notifying users of gesture prediction results and reliability during the input process. The notification unit provides real-time information about what gesture is being recognized and how confident the system is, enabling users to adjust their input accordingly.
2Ease of operation
If gesture feedback is provided to improve system convenience, then user correction of erroneous inputs is enabled, but existing methods do not provide sufficient information about prediction reliability to effectively guide users
Solution Approach 1:
The notification unit provides dual feedback: the predicted gesture result itself and the reliability metric. This allows users to understand both what the system thinks they are doing and how confident the system is, enabling more effective correction decisions.
Solution Approach 2:
The system changes the parameter of feedback by including not just the gesture prediction result but also the reliability parameter. This additional parameter gives users more information to judge whether to correct their input or proceed with the predicted gesture.
3Productivity
If real-time gesture prediction notification is implemented, then users can confirm and correct gestures during input, but the system complexity increases due to additional notification functionality
Solution Approach 1:
The notification unit serves multiple functions: it displays the predicted gesture result, shows the reliability metric, and provides timing information. This multi-functionality reduces the need for separate display elements and minimizes overall system complexity while achieving comprehensive feedback.
Data Source
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AI summary
There is provided a gesture recognition apparatus including a recognition unit for recognizing a gesture based on a set of gesture information input in a given input period, a prediction unit for predicting the gesture from halfway input gesture information among the set of gesture information, and a notification unit for notifying a user of prediction information about the result of predicting the gesture. A user can confirm what kind of gesture is recognized by continuing to input gesture information through a notification of the prediction information.