Whoop had five patents in internet of things 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.

Whoop grant share with internet of things 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 measuring physiological parameters such as respiratory rate and heart rate variability over time to correlate with physiological and hormonal cycles like the menstrual cycle. By determining the phase of these cycles, the patent aims to provide personalized recommendations for adjustments to activities like sleep and exercise. The patent includes claims for a computer program product and a system that acquires heart rate data from a wearable device, identifies circadian and sleep cycles based on this data, and generates recommendations for adjusting the timing of the circadian cycle to optimize sleep patterns.

The system described in the patent includes a wearable physiological monitor with sensors, a server for processing heart rate data and generating recommendations, and a user interface to present these recommendations. The method outlined involves acquiring heart rate data, identifying circadian and sleep cycles, and providing recommendations for adjusting the timing of the circadian cycle based on the user's sleep history. The recommendations can include suggestions for falling asleep or waking up at specific times, exposure to light after waking, and caffeine consumption timing, all aimed at optimizing the user's sleep patterns and overall well-being.

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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.