Whoop had 15 patents in internet of things during Q1 2024. Whoop Inc’s patents focus on utilizing physiological metrics such as heart rate, heart rate variability, and motion patterns to provide personalized recommendations for sleep, diet, exercise, and monitoring reproductive phases. The technology includes predicting the date of delivery for pregnant users based on heart rate data, evaluating strain during strength training to offer coaching recommendations, and continuously monitoring health and fitness metrics using a wearable strap. The goal is to provide users with actionable insights to optimize their overall well-being and performance. 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 grant share with internet of things as a theme is 20% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Coaching based on reproductive phases (Patent ID: US20240074709A1)
The patent filed by Whoop Inc. describes a system that uses physiological metrics such as heart rate variability, resting heart rate, body temperature, and respiration rate to track a user's hormonal cycle. By analyzing these metrics, the system can provide personalized recommendations for sleep, diet, and exercise based on the user's current phase in their hormonal cycle. The system involves acquiring physiological data from a wearable monitor, calculating various metrics daily, estimating the cycle time within the hormonal cycle, and providing coaching information to the user accordingly.
The system can be applied to various hormonal cycles, including menstrual cycles and pregnancies, and uses an ensemble of estimated cycle times derived from different physiological metrics to provide accurate recommendations. The system can be implemented through a computer program product with executable code, a method involving modeling timewise changes during a hormonal cycle, and a system comprising a wearable monitor, a model stored in memory, and a processor to generate recommendations based on the user's physiological data. Overall, the patent outlines a comprehensive approach to leveraging physiological metrics for personalized coaching and recommendations based on the user's hormonal cycle.
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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.
