This code is released as part of the Human Activity Detection project at Personal Robotics Lab at Cornell University. 

Currently two codes are available:
- Extracting features from sequence of human activity: 
    Refer to [Sung et al. ICRA 2012] below.
- Visualizing skeleton data for Cornell Activity Dataset 


===== How to run it? =====
1. Download Cornell Activity Dataset from 
        http://pr.cs.cornell.edu/humanactivities/data.php

2. Feature Extraction - Refer to README inside FeatureExtractor


===== Project Website =====

http://pr.cs.cornell.edu/humanactivities/


===== Any Questions about the code or CAD-60 dataset? =====

Contact: Jaeyong Sung - jysung@cs.cornell.edu


===== More details about this code available at =====

Unstructured Human Activity Detection from RGBD Images, 
Jaeyong Sung, Colin Ponce, Bart Selman, Ashutosh Saxena. 
International Conference on Robotics and Automation (ICRA), 2012.

(bibtex)
@inproceedings{sung_rgbdactivity_2012,
    title={Unstructured Human Activity Detection from RGBD Images},
    author={Jaeyong Sung and Colin Ponce and Bart Selman and Ashutosh Saxena},
    booktitle={International Conference on Robotics and Automation (ICRA)},
    year={2012}
}