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Consumer Sleep Technology

Search All Applications in Consumer Sleep Technology


Application US20180353125


Published 2018-12-13

Method And Apparatus For Determining Sleep State Using Biometric Information And Motion Information

A sleep state determination method using biometric and motion information includes acquiring motion information of a user using a motion sensor; determining a primary sleep state of the user based on the acquired motion information; acquiring biometric information of the user using a biometric sensor when the primary sleep state is determined; and determining a final sleep state of the user by combining the acquired biometric information and the primary sleep state.



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3 Independent Claims

  • 1. A sleep state determination method using biometric and motion information, the sleep state determination method comprising: acquiring motion information of a user using a motion sensor; determining a primary sleep state of the user based on the acquired motion information; acquiring biometric information of the user using a biometric sensor when the primary sleep state is determined; and determining a final sleep state of the user by combining the acquired biometric information and the primary sleep state.

  • 10. A sleep state determination apparatus using biometric and motion information, the apparatus comprising at least one processor and a memory storing at least one instruction executed by the at least one processor, wherein the at least one instruction is configured to: acquire motion information of a user using a motion sensor; determine a primary sleep state of the user based on the acquired motion information; acquire biometric information of the user using a biometric sensor when the primary sleep state is determined; and determine a final sleep state of the user by combining the acquired biometric information and the primary sleep state.

  • 19. A sleep state determination method using biometric information, the sleep state determination method comprising: acquiring biometric information of a user using a biometric sensor; calculating a heart rate variability by analyzing a photoplethysmography (PPG) signal included in the biometric information; comparing the calculated heart rate variability with a predetermined normal heart rate variance; and determining a sleep state of the user based on a result of the comparison.