Meta Platforms had 30 patents in cybersecurity during Q4 2023. Meta Platforms Inc has filed patents related to various technologies such as coordinating operation between head-wearable and electronic devices, generating and utilizing digital visual codes, presenting artificial reality content based on interactions with physical objects, and coordinating display of biometric data at a head-worn wearable device based on sensor data from a wrist-wearable device. These patents aim to enhance user interactions and experiences with technology through innovative methods and systems. 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 cybersecurity as a theme is 40% 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 speech input, and sending instructions for presenting the results to the user. The system includes processors, a microphone for speech input, a camera for gesture input, and memory with instructions for communicating user inputs to an external assistant system, receiving information on user intent, and executing tasks based on the received information, user profile, and inputs. 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 information, combining speech and gesture inputs to determine user intent, and utilizing machine learning models for gesture information.
Overall, the patent focuses on a system and method that integrates speech and gesture inputs from users to determine user intent, execute tasks, and present results effectively. The system includes components like microphones, cameras, and processors, while the method involves generating inputs, communicating with an external assistant system, receiving intent information, and executing tasks based on the received data. The patent emphasizes the personalized nature of gesture-classification models and machine learning models for gesture information, highlighting the use of technology to enhance user interactions and task execution based on combined speech and gesture inputs.
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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.
