Movement measure generation in a wearable electronic device

A method executed by a wearable electronic device, the method comprising:

• obtaining a plurality of first motion data samples generated by a set of one or more motion sensors, the first motion data samples being generated during a first time interval;
• generating a first movement measure based on a combination of the first motion data samples into a single numerical value representative of the motion of the wearable electronic device during the first time interval;
• obtaining a plurality of second motion data samples generated by the set of motion sensors, the second motion data samples being generated during a second time interval;
• generating a second movement measure based on a combination of the second the motion data samples into a single numerical value representative of the motion of the wearable electronic device during the second time interval;
• causing a non-transitory machine readable storage medium to store the first movement measure and the second movement measure as time series data,
• deriving a first feature value corresponding to the first time interval based on the single numerical values of the first and second movement measures;
• deriving a second feature value corresponding to the second time interval based on at least the single numerical value of the second movement measure;
• assigning a first sleep state to a user of the wearable electronic device for the first time interval based on the first feature value, and
• assigning a second sleep state to the user of the wearable electronic device for the second time interval based on the second feature value.

A computer readable storage device that includes instructions that, when executed by one or more processors, cause the one or more processors to:

• obtain a first movement measure comprising a first single numerical value representative of motion of a wearable device during a first time interval, the first single numerical value being generated based on a combination of a plurality of first motion data samples generated by a set of one or more motion sensors of the wearable electronic device;
• obtain a second movement measure comprising a second single numerical value representative of the motion of the wearable device during a second time interval, the second single numerical value being generated based on a combination of a plurality of second motion data samples generated by the motion sensors;
• derive a first feature value corresponding to the first time interval based on the single numerical values of the first and second movement measures,
• derive a second feature value corresponding to the second time interval based on at least the single numerical value of the second movement measure,
• classify a first level of activity of the user for the first time interval based on the first feature value;
• classify a second level of activity of the user for the second time interval based on the second feature value;
• determine a sleep state for the first time interval based on the first level of activity;
• and
• determine a sleep state for the second time interval based on the second level of activity.