18297343. Identifying Co-Located Devices within a Teleconferencing Session simplified abstract (Google LLC)
Contents
Identifying Co-Located Devices within a Teleconferencing Session
Organization Name
Inventor(s)
Henrik Fahlberg Lundin of Sollentuna (SE)
Mans Gustaf Sebastian Ullberg of Stockholm (SE)
Identifying Co-Located Devices within a Teleconferencing Session - A simplified explanation of the abstract
This abstract first appeared for US patent application 18297343 titled 'Identifying Co-Located Devices within a Teleconferencing Session
Simplified Explanation: The patent application describes a system where a participant's device in a teleconferencing session receives mixed audio data from other devices connected to the session. By comparing the mixed audio with the audio captured by the other devices, the system determines if the participant's device is physically near any of the other devices. Information about the most active contributing devices is obtained, and co-location information for these devices is received to determine if they are physically close to the participant's device.
- The system compares mixed audio data received by a participant's device in a teleconferencing session with audio captured by other devices to determine physical proximity.
- Information about the most active contributing devices is obtained to understand their role in the mixed audio.
- Co-location information for these featured devices is received to establish if they are physically close to the participant's device.
- Based on the co-location information, the system determines if one of the featured devices is physically near the participant's device.
Potential Applications: 1. Remote collaboration tools for businesses. 2. Virtual meetings and conferences. 3. Distance learning platforms. 4. Telemedicine applications. 5. Virtual events and webinars.
Problems Solved: 1. Enhances the teleconferencing experience by identifying physically co-located devices. 2. Improves audio quality by understanding the proximity of contributing devices. 3. Facilitates better communication and collaboration in remote settings.
Benefits: 1. Increased efficiency in virtual communication. 2. Enhanced audio clarity in teleconferencing sessions. 3. Improved user experience in remote collaboration. 4. Better understanding of physical proximity in virtual interactions.
Commercial Applications: Title: Enhanced Teleconferencing Co-location Detection System This technology can be utilized by telecommunication companies, software developers, and businesses offering virtual communication solutions. It can improve the quality of teleconferencing services and enhance user experience, leading to increased customer satisfaction and retention.
Prior Art: Prior art related to this technology may include research on audio processing in teleconferencing systems, device proximity detection in virtual environments, and co-location analysis in remote collaboration tools.
Frequently Updated Research: Researchers may be exploring advancements in audio processing algorithms for teleconferencing systems, innovative methods for device proximity detection, and improvements in co-location analysis techniques for virtual communication platforms.
Questions about Teleconferencing Co-location Detection System: 1. How does the system determine the physical proximity of devices in a teleconferencing session? 2. What are the potential security implications of analyzing co-location information in virtual communication environments?
Original Abstract Submitted
A participant computing device connected to a teleconferencing session receives mixed audio data from a teleconference computing system orchestrating the session. The mixed audio data comprises a mix of audio captured by other devices connected to the session. The mixed audio and audio captured by the other devices prior to receipt of the mixed audio data are compared to determine that the participant computing device is co-located with at least one of the other devices. Information indicating that some of the other devices are featured devices that most actively contribute to the mixed audio is obtained. Co-location information for each of the featured devices is received. The co-location information is indicative of whether a featured device is co-located with the participant computing device. Based on the co-location information, a determination is made that one of the featured devices is co-located with the participant computing device.
