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Consumer Sleep Technology
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Application US20190059802
Published 2019-02-28
Method For Predicting Future Change In Physical Condition Of Person From Sleep-state History
A method includes: acquiring body motion data related to body motions of a target person; generating, based on the body motion data, sleep state data related to a sleep state of the target person; storing the sleep state data into a sleep state database; predicting a future change in a physical condition of the target person from the sleep state data by referencing a physical condition prediction information database; and when the physical condition data indicating the physical condition of the target person is acquired, reading past sleep state data over a past period from the sleep state database, collating the physical condition data with the past sleep state data to generate physical condition prediction information for predicting a particular change in the physical condition from particular sleep state data, and registering the physical condition prediction information into the physical condition prediction information database.
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- 1. A method comprising:
(A) continuously or intermittently acquiring body motion data related to body motions of a target person; (B) generating, based on the acquired body motion data, sleep state data related to a sleep state of the target person; (C) storing the generated sleep state data into a sleep state database; (D) predicting a future change in a physical condition of the target person from the generated sleep state data by referencing a physical condition prediction information database; and (E) when the physical condition data indicating the physical condition of the target person is acquired, (e1) reading past sleep state data over a past period from the sleep state database, (e2) collating the acquired physical condition data with the read past sleep state data to generate physical condition prediction information for predicting a particular change in the physical condition from particular sleep state data, and (e3) registering the generated physical condition prediction information into the physical condition prediction information database.
