[Imageworld] UCF-iPhone Dataset Released

[UCF Computer Vision Lab]

Dear All,

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.

LINKS
Webpage: http://vision.eecs.ucf.edu/data/SmartPhone/
Dataset: http://vision.eecs.ucf.edu/data/SmartPhone/Smartphone_Dataset.zip
Paper: http://vision.eecs.ucf.edu/papers/PECCS_2012.pdf
Presentation: http://vision.eecs.ucf.edu/data/SmartPhone/PECCS_Pres_web.pptx

Computer Vision Lab
http://vision.eecs.ucf.edu/
University of Central Florida


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