Whoop had five patents in artificial intelligence during Q2 2024. Whoop Inc’s patents focus on a wearable device that accurately determines a wearer’s sleep intention by evaluating activity associated with waking up, allowing for efficient sleep analysis. Additionally, the patents highlight the use of a stress score from a physiological monitor to provide real-time coaching and decision-making based on objective stress measurements. GlobalData’s report on Whoop gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Whoop had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Detecting sleep intention (Patent ID: US20240206803A1)
The patent filed by Whoop Inc. describes a wearable physiological monitoring device that can accurately determine a wearer's sleep intention by evaluating activity objectively associated with waking from sleep. This allows the device to request sleep analysis from a remote server promptly when a user intends to end sleep, while avoiding unnecessary processing when the user intends to continue sleeping. The device includes sensors, a memory, and a processor to detect sleep onset, waking events, and user intentions based on historical sleep data, optimizing the sleep analysis process.
The wearable monitor also involves a remote data processing resource on a server to receive and evaluate data transmitted from the device, enhancing the analysis of the user's sleep during the sleep interval. The method outlined in the patent involves acquiring sensor data during sleep, detecting waking events, evaluating user intentions, and processing these intentions by performing sleep analysis based on historical sleep data. The method includes probabilistic analysis, machine learning algorithms, and the use of various variables to determine the likelihood of the user staying awake or returning to sleep, ultimately improving the accuracy and efficiency of sleep monitoring and analysis.
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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.
