Meta Platforms had 43 patents in social media during Q4 2023. Meta Platforms Inc filed patents related to personalized gesture and speech recognition, pausing audio and visual messages, generating and utilizing digital visual codes for networking systems, incorporating audio files into audiovisual content based on attributes, and providing group bots for collective interactions in group conversations. These patents aim to enhance user experience and interaction within social media platforms. GlobalData’s report on Meta Platforms gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Meta Platforms grant share with social media as a theme is 39% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Personalized gesture recognition for user interaction with assistant systems (Patent ID: US20230419651A1)
The patent filed by Meta Platforms Inc. describes a system and method for receiving user requests that include both gesture and speech inputs, determining the intent of the request based on personalized gesture-classification models, executing tasks based on the determined intent and inputs, and sending instructions for presenting the results to the user. The system comprises processors, a microphone for speech input, a camera for gesture input, and memory with instructions for processing user inputs, communicating with an external assistant system, receiving intent information, and executing tasks based on the received information. The method involves generating speech and gesture inputs, communicating them to an external assistant system, receiving intent information, and executing tasks based on the received data, with the speech input converted using automatic speech recognition and the gesture input based on machine-learning models.
The system and method outlined in the patent aim to enhance user interactions by combining gesture and speech inputs to determine user intent and execute tasks accordingly. By utilizing personalized gesture-classification models and machine-learning algorithms, the system can accurately interpret user inputs and provide relevant responses. The integration of speech recognition and gesture analysis allows for a more comprehensive understanding of user requests, leading to improved task execution and user experience. Additionally, the patent highlights the potential applications of the system in virtual reality environments, where tasks can be executed based on user inputs captured through cameras and microphones, ultimately enhancing user engagement and interaction in immersive settings.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
