Oura Health Oy

Heli Koskimäki

Hannu Olavi Kinnunen

Harri Laakkonen

Mari Karsikas

Petteri Lajunen

Johanna Still

Tero Vallius

Kirsi Maansaari

Alec Singleton

Mika Erkkilä

Janne Kukka

Matias Kukka

Veli-Pekka Kullervo Halme

Tomi Liiten

Kaisa Helena Tarvainen

Heikki Karma

Marcus Ziade

Henri Huttunen

Mats Kyyrö

Mika ErkkilÄ

Methods, systems, and devices for providing physiological state-related insights associated with a user are described. A method includes receiving physiological data associated with the user from at least one wearable device, the physiological baseline providing reference user alertness data. The method further includes obtaining a physiological baseline associated with the user based at least in part on the baseline physiological data associated with the user, the physiological baseline providing reference user alertness data. The method further includes receiving additional physiological data associated with the user from the at least one wearable device. The method further includes obtaining current user alertness data based at least in part on the additional physiological data associated with the user. The method further includes identifying a trigger condition for providing a physiological state-related insight associated with the user relating to a traveling event involving at least one vehicle based at least in part on a comparison between the current user alertness data and the reference user alertness data. The method further includes causing a user device to provide the physiological state-related insight associated with the user.

Techniques for providing physiological state-related insights associated with a user

Methods, systems, and devices for device-inputted commands are described. A system may receive physiological data, including motion data, associated with a user from a wearable device worn by the user and may detect multiple motion pulses based on the motion data, where each motion pulse includes motion data that exceeds a motion threshold. The system may additionally identify an input command pattern comprising at least one motion pulse preceded and followed by a static period in a time domain. Additionally, the system may identify one or more user inputs based on the input command pattern matching a reference command pattern and generate one or more instructions based on identifying the one or more user inputs.

Ring-inputted commands

A method and system for supplemental sleep detection is described. A system may receive data associated with a user from a wearable device worn by the user, and may detect a primary sleep period for the user based on the received data. The system may additionally detect a supplemental sleep period including a duration that exceeds a threshold duration based on the received data. In some implementations, the system may cause a graphical user interface (GUI) of a user device to display an indication of the detected supplemental sleep period, and may receive a confirmation of the supplemental sleep period via the user device and in response to the indication of the detected supplemental sleep period. The system may subsequently generate one or more insights associated with the user based on the primary sleep period and the supplemental sleep period and, in some implementations, in response to the confirmation.

Method and system for supplemental sleep detection

A method and a system for providing feedback to a user for adjusting sleep pattern of the user. The method includes collecting a set of information related to the user, receiving a set of measurement data related to the user from a wearable electronic device, defining circadian rhythm and duration of sleep of the user, determining sleep scores for a predefined number of days and associating each sleep score with a corresponding go-to-bed time or time of falling asleep of the user. A sleep score is determined for each of the predefined number of days from the collected set of information, the set of measurement data, the circadian rhythm and the duration of sleep of the user. The method further includes analysing the sleep scores and associated go-to-bed time or time of falling asleep of the user to determine an optimum bedtime window for the user and providing feedback to the user based on the analysed sleep scores and the optimum bedtime window.

Method and system for monitoring and improving sleep pattern of user

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Oulu, Finland

Heli Koskimäki