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Contact Information
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Name
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Changchun Liu
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Email
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changchun.liu@vanderbilt.edu
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Position
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Graduate Research
Assistant
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Address
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RASL,
Olin Hall, # 518
Vanderbilt
University
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Phone
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(615) 343-6472
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Fax
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(615) 343-6687
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Research
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Human machine interaction
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Developing human machine interactions with
implicit communication, which would be valuable to have this capability
in robotic systems wherein a robot can detect the motivations and
emotions of the person it is working with.
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Pattern Recognition
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Investigating various
classification/ regression methods to detect affective states from
physiological cues for implicit human-robot interaction, which includes
signal processing, feature extraction and selection, and pattern
recognition algorithm study.
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Robotics
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Integrating the affective
information to the robotic control architecture so as to improve robot
capability for the human robot interaction in a more intuitive way. It is
focused on human-central application.
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Machine Learning
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It is important to view
the human robot interaction from the robot's perspective as well as that
of the human. It would be helpful to study how to facilitate robot/agent
learning by affective computing.
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Selected Publications
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Journal Publications
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Liu, C., Conn, K., Sarkar,
N., Stone, W., “Online Affect Detection and Robot Behavior Adaptation
for Intervention of Children with Autism”, IEEE Transactions on
Robotics, vol.24, no.4, p883-896, 2008.
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Liu, C., Conn, K., Sarkar,
N., Stone, W., “Physiology-Based Affect Recognition for Computer
Assisted Intervention of Children with Autism Spectrum Disorder”,
International Journal of Human-Computer Studies, vol.66 (9),
p662–677, 2008
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Liu, C., Rani, P., Sarkar,
N, “Dynamic Difficulty Adjustment in Computer Games through Real-Time
Affective Feedback”, International Journal of Human-Computer
Interaction, Accepted. 2008.
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Rani, P., Liu, C., Sarkar,
N., “Interaction between Human and Robot - an Affect-inspired Approach”,
Interaction Studies, vol. 9, no. 2, p230-257, 2008.
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Rani, P., Liu, C., Sarkar,
N., “An Empirical Study of Machine Learning Techniques for Affect
Recognition in Human-Robot Interaction”, Pattern Analysis and
Applications, vol.9, no.1, p58-69, 2006.
Conference Publications
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Liu, C., Conn, K., Sarkar,
N., Stone, W., “Affect Recognition in Robot Assisted Rehabilitation of
Children with Autism Spectrum Disorder”, IEEE International Conference
on Robotics and Automation, Roma, Italy, 2007.
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Liu, C., Conn, K., Sarkar,
N., Stone, W., “Online Affect Detection and Adaptation in Robot Assisted
Rehabilitation for Children with Autism”, 16th IEEE International
Symposium on Robot and Human Interactive Communication, 2007
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Liu, C., Rani, P., Sarkar,
N., “Human-Robot Interaction
Using Affective Cues”, 15th IEEE International Symposium on Robot
and Human Interactive Communication – RO-MAN, Hatfield, United Kingdom,
2006, (Best Paper Award). (Image)
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Liu, C., Rani, P., Sarkar,
N., Affective State Recognition and Adaptation in Human-Robot
Interaction: A Design Approach, IEEE/RSJ International Conference on
Intelligent Robots and Systems, 2006.
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Rani, P., Liu, C., Sarkar,
N., Affective Feedback in Closed Loop Human-Robot Interaction, 1st
Annual Conference on Human-Robot Interaction, 2006.
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Liu, C., Rani, P., Sarkar,
N., “Comparison of Machine Learning Techniques for Affect Detection in
Human Robot Interaction”, IEEE/RSJ International Conference on
Intelligent Robots and Systems, Alberta, Canada, 2005
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Rani, P., Sarkar,
N. Liu, C., Maintaining Optimal Challenge in Computer
Games Through Real-Time Physiological Feedback, 11th Human Computer
Interaction International, 2005.
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Research Group
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Robotics
and Autonomous Systems Laboratory
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Research Group
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