Multimedia Device Gesture Recognition Using User Position and Viewing Direction
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Solution Overview
Problem
In complex multimedia environments with multiple devices, existing gesture recognition systems face challenges in reliably distinguishing between intended control gestures and non-control gestures, especially when users are not directly facing the screen or when multiple users are present.
Innovation Solution
A method that involves detecting a wake-up event, determining the user's position and viewing direction using audio and video information, and performing filtered gesture recognition based on this information to ensure only relevant gestures from the primary user are recognized and processed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If gesture recognition is used to control multimedia devices in a shared display environment, then user control capability is improved, but control accuracy deteriorates due to inability to distinguish between gestures from different users or unintended gestures
Solution Approach 1:
The system performs preliminary actions by detecting wake-up events and determining user position and viewing direction before processing gesture recognition. This preliminary identification of the primary user and their orientation establishes a reference framework that filters out gestures from other users or unintended targets, thereby improving control accuracy while maintaining ease of operation.
Solution Approach 2:
The system applies local quality by focusing gesture recognition on specific spatial regions and temporal windows corresponding to the identified primary user's position and viewing direction. This localized approach ensures that only gestures from the relevant user are processed, eliminating false triggers from other users or unintended gestures while preserving the user-friendly gesture control interface.
2Speed
If gesture recognition processes all detected gestures without filtering, then responsiveness is improved, but reliability deteriorates due to inclusion of non-essential gestures from passive users
Solution Approach 1:
The system performs preliminary detection of wake-up events and determination of user position and viewing direction before processing gestures. This preliminary action creates a filter framework that ensures only gestures from the identified primary user are processed, maintaining fast response to legitimate commands while eliminating unreliable gestures from passive users.
Solution Approach 2:
The system introduces an intermediary filtering mechanism that mediates between raw gesture detection and final command execution. This intermediary layer uses user position and viewing direction information to filter out non-essential gestures from passive users, ensuring that only reliable gestures from the primary user trigger device commands, thus improving reliability without significantly impacting response speed.
3Adaptability or versatility
If the system processes gestures from all users present in the environment, then user interaction coverage is improved, but control precision deteriorates due to inability to identify the primary user's intent
Solution Approach 1:
The system performs preliminary detection of wake-up events and determination of user position and viewing direction before processing gestures. This preliminary action identifies the primary user and their orientation, creating a precise filter that ensures only gestures from the identified primary user are processed for device control. This maintains broad user interaction coverage while achieving precise intent identification through spatial and temporal filtering.
Solution Approach 2:
The system applies local quality by focusing gesture recognition on specific spatial regions and temporal windows corresponding to the identified primary user's position and viewing direction. This localized approach maintains the ability to interact with multiple users in the environment while achieving precise intent identification by exclusively processing gestures from the currently active primary user.
Data Source
AI summary
There is a multimedia device 4, a multimedia environment 2 and a method for controlling the multimedia device 4. The multimedia environment 2 further comprises a sensor 6 for acquisition of audio and/or video information. The multimedia device 4 is configured to perform gesture and or speech recognition based on the acquired audio and/or video information. A wake-up event that is assigned to activation of the multimedia device 4 and is initiated by a user 18 of the multimedia environment 2 is detected based on acquired audio and/or video information. The multimedia device 4 is set to an active state upon the detection of the wake-up event. Further, a position 24 of the user 22 in the multimedia environment 2 is determined. A viewing direction 26 of the user 22 may further be detected. The filtered gesture recognition is performed based on subsequently acquired video information wherein the step of filtering takes into account the determined position 24 and the determined viewing direction 26 of the user 22.