Method, Mobile Device and System for Optimizing Wake-Up Alarm for Two or More Persons

A method for defining an optimal wake-up time with an alarm, which method takes into consideration at least two persons (11a-c), characterized in that the method comprises the steps of:

• determining a wake-up deadline time and a time window for the alarm ending at the wake-up deadline time, and determining sub-period lengths for the analysis which subsequent sub-periods together form the determined time window,
• receiving a first set of measurement data related to a first person (11a) from a sleep monitoring device (12a) of the first person (11a),
• determining sleep modes of the first person (11a) prior to the wake-up deadline time based on the first set of measurement data,
• receiving a second set of measurement data related to a second person (11b) from a sleep monitoring device (12b) of the second person (11b),
• determining sleep modes of the second person (11b) prior to the wake-up deadline time based on the second set of measurement data,
• comparing sleep modes of the first person (11a) and the second person (11b) continuously within each sub-period during the time window for the alarm, and when the comparison gives a first positive analysis result within a specific sub-period,
• selecting the alarm time at the specific sub-period and triggering the alarm at the optimal wake-up time for the at least two persons (11a-c), wherein
• determining the sleep modes as likelihood of one or more of the following sleep phases:
• deep sleep, light sleep, REM sleep and awake state,
• the sub-period length is from 30 seconds to ten minutes,
• the set of measurement data related to a person comprises at least motion of the person (11a-c), where the sleep phase of the person is determined by motionless time periods within the sub-period length, where the time periods are of temporal lengths of one to five seconds,
• the sleep monitoring device (12a-c) is a ring or a wrist device wearable by the person (11a-c), and
• sending motion data through a Bluetooth interface for each sub-period, and in case of no sent motion data within a given sub-period, interpreting it as no motion of a person (11a-c) for the given sub-period.