Whoop has patented a wearable device that accurately determines a user’s sleep intention by analyzing movement data. The device can request sleep analysis from a remote server based on the user’s intention to end or continue sleeping, optimizing data processing. 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 April 2024 was 25%. Grant share is based on the ratio of number of grants to total number of patents.
Wearable device determines sleep intention for remote 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 product includes computer executable code on a non-transitory computer-readable medium that acquires sensor data from the monitor, detects waking events, evaluates the user's intention to stay awake or return to sleep based on historical sleep data, and processes this intention by performing sleep analysis and providing the results to the user. The method involves acquiring sensor data from a physiological monitor, detecting waking events, evaluating the user's intention, and processing this intention by performing sleep analysis and providing the results to the user. The intention is determined through probabilistic analysis of historical sleep data, considering variables such as duration of sleep interval and physical movement inconsistent with sleep.
Furthermore, the patent includes claims related to detecting waking events based on physical movement, heart rate activity, and body temperature, as well as evaluating the user's intention using machine learning algorithms and historical sleep data. The wearable monitor described in the patent includes sensors for monitoring the user, a memory for storing sensor data, and a processor for detecting sleep intervals, waking events, and evaluating the user's intention. In response to the user's intention to stay awake, the processor transmits data for sleep analysis to a remote server, while deferring the analysis if the user intends to return to sleep. This innovative technology aims to provide users with detailed sleep metrics and analysis to improve their overall sleep quality and duration, enhancing their well-being and health.
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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.
