Whoop had one patents in artificial intelligence during Q4 2023. Whoop Inc’s patent involves measuring physiological parameters over time and correlating them to hormonal cycles like the menstrual cycle. This data is used to provide personalized recommendations for sleep and exercise adjustments based on the user’s current phase in the cycle. GlobalData’s report on Whoop gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Whoop grant share with artificial intelligence as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Cycle-based coaching (Patent ID: US20230346356A1)
The patent filed by Whoop Inc. focuses on utilizing physiological parameters like heart rate variability to track and correlate with physiological cycles such as the menstrual cycle. By analyzing these data points, the system can provide personalized recommendations for adjusting activities like sleep and exercise based on the user's current phase within the cycle. The technology involves acquiring heart rate data from a wearable device, identifying circadian and sleep cycles, and generating specific recommendations for the user to optimize their routine accordingly.
The system described in the patent includes a wearable physiological monitor with sensors to collect heart rate data, a server for processing this data to identify circadian and sleep cycles, and a user interface to present personalized recommendations. The method involves acquiring heart rate data, determining circadian cycles based on this data, identifying sleep cycle information, and generating recommendations for adjusting the timing of the circadian cycle. These recommendations can include suggestions for adjusting sleep times, exposure to light, or caffeine consumption based on the user's individual data and patterns. Overall, the patent outlines a comprehensive system for leveraging physiological data to provide tailored guidance for optimizing sleep and daily routines.
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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.
