Constellation Software has patented a system that identifies user gestures in a physical environment, analyzes user engagement with displayed content, and delivers targeted content based on the gestures. The technology involves training a machine learning model using digital video images to recognize specific gestures. GlobalData’s report on Constellation Software gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Constellation Software, was a key innovation area identified from patents. Constellation Software's grant share as of February 2024 was 48%. Grant share is based on the ratio of number of grants to total number of patents.
Gesture recognition system for content presentation in physical environments
A recently granted patent (Publication Number: US11869039B1) discloses a computer-readable medium containing instructions for training a machine learning model to recognize gestures based on digital video images of body movements. The technology involves identifying user engagement levels with displayed content by analyzing hand gestures and determining the length of time a gesture is detected. This information is then used to select and transmit targeted content to the user, potentially including audio or video programs, advertisements, or other content types. The system also incorporates facial recognition to personalize user experiences and store gesture information in relation to identified users, allowing for sentiment analysis and user profile customization based on hand gestures.
Furthermore, the patent describes additional features such as detecting multiple gestures over time, determining sentiment associated with gestures, selecting content based on pricing considerations, user engagement levels, and relationships between users within a physical environment. The technology utilizes sensors to capture ultrasonic signals and infrared light spectrum signals to enhance gesture recognition accuracy. Overall, the system aims to provide a personalized and engaging content presentation experience by analyzing user gestures and emotions to tailor content selection and delivery on content presentation systems.
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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.
