Meta Platforms had 67 patents in internet of things during Q4 2023. Meta Platforms Inc filed patents related to a method for executing tasks based on user gestures and speech inputs, a headset with adjustable optical components, antenna architectures for magnetic dipole antennas, a headset with thermal management features, and a tunable laser array with multiple lasers and coupler/splitter technology. 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 internet of things as a theme is 35% 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 behind the request using personalized 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 these to an external assistant system to determine user intent, receiving intent information, and executing tasks based on the received information, with the speech input converted using automatic speech recognition and gesture input based on machine learning models.
The system and method outlined in the patent aim to enable users to interact with devices using a combination of gesture and speech inputs, allowing for a more intuitive and personalized user experience. By leveraging personalized models and machine learning algorithms, the system can accurately determine user intent and execute tasks accordingly. The use of automatic speech recognition and machine learning models for gesture inputs enhances the system's ability to understand and respond to user actions effectively. Additionally, the patent suggests applications in virtual reality environments, where tasks can be executed based on user inputs captured through gestures and speech, providing a seamless and immersive user experience.
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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.
