[Imageworld] UCF-iPhone Dataset Released
UCF Computer Vision Lab
vision at cs.ucf.edu
Thu Mar 8 14:57:26 CET 2012
We would like to announce the release of our new action recognition dataset
"UCF-iPhone". 9 Aerobic actions were 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.
Please refer to this publication if you use this data set:
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.
Computer Vision Lab
University of Central Florida
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