Whoop has patented a wearable device that accurately determines a user’s sleep intention by analyzing movement data. The device communicates with a remote server to quickly provide sleep analysis if the user intends to wake up, reducing unnecessary processing if the user plans to continue sleeping. 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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According to GlobalData’s company profile on Whoop, Treatment progress monitoring was a key innovation area identified from patents. Whoop's grant share as of February 2024 was 100%. Grant share is based on the ratio of number of grants to total number of patents.
Wearable device determines sleep intention for efficient sleep analysis
A recently granted patent (Publication Number: US11925473B2) discloses a computer program product and method for monitoring sleep using a wearable physiological monitor. The system involves acquiring sensor data from the monitor remotely through a data network, analyzing the data to detect waking events during sleep intervals, and evaluating the user's intention to stay awake or return to sleep based on historical sleep data. The system then processes this intention by performing sleep analysis, calculating sleep metrics, and providing the analysis to the user for display on a device. If the user intends to stay awake, additional data is received for further analysis, while if the user intends to return to sleep, the analysis is deferred until another waking event occurs.
The patent also includes a wearable monitor with sensors, memory, and a processor that can detect sleep onset, waking events, and evaluate user intentions based on historical sleep data. The processor transmits data to a remote server for sleep analysis when the user intends to stay awake, calculating sleep metrics to evaluate the sleep interval. In cases where the user intends to return to sleep, the analysis is deferred, and the system monitors for additional waking events. The wearable monitor is designed to provide accurate sleep monitoring and analysis, enhancing the user's understanding of their sleep patterns and quality. The system's ability to differentiate between staying awake and returning to sleep based on historical data and sensor inputs demonstrates an innovative approach to personalized 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.
