Zoom Video Communications had 19 patents in cybersecurity during Q2 2024. Zoom Video Communications Inc has filed patents for technology that analyzes audience reactions during conferences to determine engagement levels and provide real-time recommendations to speakers. Another patent describes a method to elevate a telephone call to a virtual meeting while maintaining the call as an audio channel for audio-only participants. Additionally, there are patents for customizing video conference configurations based on participant preferences and controlling online meeting attendance based on guest identifiers. Another patent covers ad hoc client audio device support for virtual conferences, enabling remote client devices to connect and provide audio streams during virtual meetings. GlobalData’s report on Zoom Video Communications gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Zoom Video Communications had no grants in cybersecurity as a theme in Q2 2024.
Recent Patents
Application: Recommendation based on video-based audience sentiment (Patent ID: US20240187269A1)
The patent filed by Zoom Video Communications Inc. describes a method and system for analyzing audience reactions to a speaker during a video conference. The system processes video data to detect and recognize reactions, determines sentiment types based on these reactions, and calculates an engagement level based on the most frequent sentiment types. Using machine learning, the system aggregates engagement levels, real-time recommendations, and speaker behaviors across multiple conferences to provide real-time recommendations to the speaker participant. These recommendations offer suggestive actions based on the engagement level, helping the speaker adjust their behavior to improve audience engagement.
The method involves determining meanings of reactions, sentiment types, and engagement levels in real-time during the video conference. By analyzing both perceptible and imperceptible reactions of the audience participants, the system provides a comprehensive understanding of audience engagement. Additionally, the system evaluates the context of reactions using machine learning, considering factors such as setting, environment, and location to determine the appropriate meaning for each reaction. By continuously monitoring engagement levels and the impact of real-time recommendations, the system helps speakers enhance their performance and effectiveness during video conferences.
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