Activity recognition from in-the-wild smartwatches (ArWISE)

The Activity recognition from in-the-WIld SmartwatchEs (ArWISE) dataset is based on sensor data and activity labels collected from smart watches as part of several studies for a total of 854 participants across 20 cohorts. The sensor data consisted of 10Hz accelerometer, gyroscope, and location information that has been processed into anonymized features computed from one minute windows of data: local time, date, and day of week; mean and standard deviation of yaw, pitch, roll, x/y/z/total rotation rate, x/y/z/total acceleration, speed, course, distance from home, and bearing from home. The activity label is one of eat, errands, exercise, hobby, housework, hygiene, relax, sleep, socialize, travel, work, other. There are 470M data points total, of which 37M are labeled.