UCF-iPhone is an action recognition dataset which consists of 9 Aerobic actions recorded from (6-9) subjects using the Inertial Measurement Unit (IMU) on an Apple iPhone 4 smartphone. The IMU includes a 3D accelerometer, gyroscope, and magnetometer. Each sample was taken at 60Hz, and manually trimmed to 500 samples (8.33s) to eliminate starting and stopping movements.
UCF-iPhone dataset's 9 action categories collected using IMU on iPhone are: Biking, Climbing Stairs, Descending Stairs, Gym Biking, Jump Roping, Running, Standing, Treadmill Walking and Walking.
Corey McCall, Kishore Reddy and Mubarak Shah, "Macro-Class Selection for Hierarchical K-NN Classification of Inertial Sensor Data", Second International Conference on Pervasive and Embedded Computing and Communication Systems, PECCS 2012, February 24-26, 2012, Rome, Italy.