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Analysis of Human Behavior During Public Speaking
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ROC-HCI/AutoManner
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Automatic Analysis of Human Behavior ------------------------------------------------------------------------------- Coded by Md. Iftekhar Tanveer (itanveer@cs.rochester.edu) Rochester Human-Computer Interaction (ROCHCI) University of Rochester ------------------------------------------------------------------------------- OS Compatibility: ================ Code tested in OS X 10, Windows, and Ubuntu Installation: ============ The code uses python and matplotlib. If you install anaconda (https://www.continuum.io/downloads), all the necessary components for running the main code should be there. Mayavi (http://docs.enthought.com/mayavi/mayavi/) was used for visualizing the skeletons. If you used anaconda to install python, you can apply the following command to install Mayavi: conda install mayavi Usage Instruction ================= For common usage check runDemo.sh Details: =========== For a web demo and further detail, please visit: https://www.cs.rochester.edu/hci/currentprojects.php?proj=automanner Algorithm and Implementational details: ====================================== M. Iftekhar Tanveer, Ji Liu, M. Ehsan Hoque, "Unsupervised Extraction of Human-Interpretable Nonverbal Behavioral Cues in a Public Speaking Scenario", 23rd ACM Multimedia (ACMMM) Conference, Brisbane, Australia, 2015. M. Iftekhar Tanveer, Ru Zhao, Kezhen Chen, Zoe Tiet, M. Ehsan Hoque, "AutoManner: An Automated Interface for Making Public Speakers Aware of Their Mannerisms", ACM Intelligent User Interfaces (IUI), Sonoma, CA, USA, 2016. Requests: ========= Please cite the papers mentioned above if this code comes to any of your use. Please share your code if you make any modification to it.
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