Gesture Controlled Video Conferencing Interface
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Solution Overview
Problem
Current video conferencing technologies limit users to experiencing only what is presented by remote conferees, lacking interactive control over the audiovisual experience.
Innovation Solution
A gesture-controlled video conferencing apparatus that uses a local capture device to detect user movements, processing these gestures to alter audio or visual signals from a remote environment, allowing users to interactively control their experience of a remote location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional video conferencing systems are used, then the system is simple and easy to operate, but the user experience is limited and lacks interactivity
Solution Approach 1:
The patent replaces traditional mechanical control interfaces (buttons, keyboards, mice) with a gesture-based natural user interface. The system captures hand gestures using imaging sensors and processes them through computer vision algorithms to control video conferencing functions, enabling more intuitive and natural user interaction without adding physical complexity to the device.
Solution Approach 2:
The patent introduces gesture recognition technology as an intermediary between the user and the video conferencing system. This intermediary layer captures natural hand gestures, interprets them through image processing, and translates them into system control commands, bridging the gap between simple user movements and complex system operations.
2Adaptability or versatility
If gesture control is added to video conferencing, then user interaction is enhanced, but device complexity increases
Solution Approach 1:
The patent implements a universal gesture recognition system that can perform multiple video conferencing control functions through a single interface mechanism. The same imaging sensor and gesture processing pipeline handle various operations such as muting audio, switching camera views, sharing screens, and adjusting settings, eliminating the need for separate controls for each function and reducing overall system complexity.
Solution Approach 2:
The system employs self-service mechanisms where the gesture recognition algorithm automatically adapts to different users and gesture styles without requiring manual configuration. The system learns from user behavior patterns and refines its recognition accuracy over time, reducing the need for complex setup procedures and calibration processes.
Data Source
AI summary
A system and method providing gesture controlled video conferencing includes a local capture device detecting movements of a user in a local environment and an audio/visual display. A processor is coupled to the capture device and a remote capture device and a remote processor at a remote environment via a network. The local processor includes instructions to render a representation of the remote environment on the display responsive to the remote processor and remote capture device. The processor also tracks movements of a local user in a space proximate to the local capture device. Responsive to a user gesture detected at the local capture device, the audio or visual signals provided by the remote capture device are altered to change the representation of the remote location is altered locally.