Video Disturbance Detection via Biometric Analysis
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Solution Overview
Problem
Video communications are prone to disturbances such as coughs, sneezes, lack of eye contact, and other visual and auditory distractions that can negatively impact the communication experience, especially in professional settings like contact centers or video conferences.
Innovation Solution
A system and method for detecting disturbances in video communications by analyzing biometric information and media streams to identify visual and audible disturbances, allowing for real-time correction or feedback to participants to mitigate these issues, including replacing disturbances with background noise or prerecorded frames to maintain a smooth communication experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If video component is added to communication, then communication depth and participant awareness are improved, but susceptibility to visual disturbances increases
Solution Approach 1:
The patent introduces an intermediary system that processes video streams between capture and transmission. This intermediary detects disturbances through biometric analysis and visual processing, then applies corrections by replacing disturbed frames with prerecorded alternatives or applying smoothing filters, thereby mediating between the raw video signal and the final transmitted stream
Solution Approach 2:
The system implements feedback by analyzing the video stream in real-time, detecting disturbances through biometric information and visual analysis, and automatically applying corrections. The system also provides feedback to participants about detected disturbances, enabling them to adjust their behavior to reduce future disturbances
2Reliability
If real-time disturbance detection and correction is implemented, then communication quality is improved, but system complexity increases
Solution Approach 1:
The patent segments the disturbance detection and correction process into distinct functional modules: biometric information reception, visual disturbance identification, correction decision-making, and frame replacement or smoothing operations. This segmentation allows each module to be optimized independently and facilitates real-time processing through parallel operation of separate functions
Solution Approach 2:
The system performs preliminary actions by capturing prerecorded frames of participants during disturbance-free periods. These prerecorded frames are stored and readily available for immediate substitution when disturbances are detected, eliminating the need for complex real-time synthesis or retrieval operations during correction
Data Source
AI summary
Embodiments disclosed herein provide systems, methods, and computer-readable media for detecting disturbances in a media stream from a participant on a communication. In a particular embodiment, a method provides receiving biometric information indicating a motion of the participant and determining that the motion indicates a visual disturbance in a video component of the first media stream. The method further provides identifying the visual disturbance in the video component of the first media stream and removing the visual disturbance from the video component of the first media stream.