Sleep Number had ten patents in artificial intelligence during Q4 2023. The Sleep Number Corp has filed patents for technologies related to enhancing user experience and monitoring sleep quality. These patents include a bed system with temperature and motion sensors to detect bed presence, a controller to adjust sleeping environment based on user behavior like snoring, and a system to detect and prevent sleepwalking events using machine learning models. These innovations aim to improve sleep quality and overall well-being for users. GlobalData’s report on Sleep Number gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Sleep Number grant share with artificial intelligence as a theme is 10% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Bed with user tracking features (Patent ID: US20230380756A1)
The patent filed by Sleep Number Corp describes a computer application interface that receives input indicating completion of a task by a user and assigns the user to a second task. A bed output event and device are selected to facilitate the second task, with the bed output device physically coupled to the bed and capable of generating output based on instructions provided by the bed output event.
The patent further details a system that includes an articulation controller to adjust the position of a bed based on user input of wakeup and sleep times. The system can adjust the bed to a wakeup position at the specified wakeup time and to a sleep position at the designated sleep time. Additionally, the system can vibrate the bed at these times and implement lighting schemes such as sunrise and sunset lighting in the bedroom where the bed is located. The method outlined in the patent involves receiving user input for wakeup and sleep times, adjusting the bed position accordingly using an articulation controller, and implementing lighting schemes in the bedroom.
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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.
