Conference User Context Detection for Trusted Audio and Camera Control
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Solution Overview
Problem
Conference sessions are often disrupted by unauthorized participants, environmental noise, and confusing audio feeds, which can compromise the privacy and productivity of the session.
Innovation Solution
A system that uses sensors to verify participant rosters, adjust camera and audio settings based on user position and voice profiles, and suspend sessions for unauthorized users to maintain a trusted conference environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the system allows open conference participation, then ease of operation is improved, but reliability deteriorates due to unauthorized participants
Solution Approach 1:
The system performs preliminary verification of participant identities before allowing conference participation. Sensors detect and verify user presence and identity in advance, comparing detected users against the authorized participant roster before granting access to the conference session.
2Measurement precision
If multiple sensors are used for user detection, then measurement precision is improved, but device complexity worsens
Solution Approach 1:
The system combines multiple sensor types (camera, microphone, ultrasound sensor, WiFi Doppler sensor, UWB sensor, RF radar sensor) into a unified user detection system. These sensors work together to detect and verify user presence through multiple modalities, improving detection accuracy while managing complexity through integrated processing.
3Productivity
If the system adjusts camera and audio settings dynamically, then productivity is improved, but device complexity worsens
Solution Approach 1:
The system automatically adjusts camera focal length, camera position, and audio input device settings based on detected user context without requiring manual intervention. The system self-regulates these parameters according to the determined relative positions and voice profiles of participants, improving conference quality while managing complexity through automated control.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures only authorized participants are included in the conference, reduces background noise, and enhances audio clarity, thereby improving session privacy and productivity.
Implementation Method 1
User presence can be detected, for example, by analyzing captured video signals from a low power camera device
Implementation Method 2
User presence can be detected, for example, by analyzing captured video signals from a low power camera device, audio signals from a microphone
Implementation Method 3
A voice profile is determined for the identified user based on the signals from the sensors
Implementation Method 4
configuring the audio input device to de-emphasize background noise based on a noise profile determined based on the signals from the sensors
Implementation Method 5
adjusting the focal length of the camera to match a distance of the user from the camera
Implementation Method 6
adjusting the position of the camera to center the user in the camera's field of view
Data Source
AI summary
Techniques for enabling a trusted conference session with user context detection includes determining a participant roster for a conference session; identifying a plurality of users participating in the conference based on signals from sensors of the computer system; determining that the identified users match the plurality of users included in the participant roster; in response, continuing the conference session as a trusted conference session; determining a relative position of an identified user based on the signals from the sensors; adjusting the camera of the computer system based on the determined position of the identified user; determining a voice profile for the identified user based on the signals from the sensors; and adjusting the audio input device of the computer system based on the determined voice profile of the identified user.