Deep networks for predicting human intent with respect to objects

HRI'12 - Proceedings of the 7th Annual ACM/IEEE International Conference on Human-Robot Interaction

Volumn , Issue , 2012, Pages 171-172

  Kelley, Richard ^a   Wigand, Liesl ^a   Hamilton, Brian ^a   Browne, Katie ^a   Nicolescu, Monica ^a   Nicolescu, Mircea ^a  

^a Department of Computer Science and Engineering   (United States)

Author keywords

deep architectures; human robot interaction; intention modeling

Indexed keywords

AUTOENCODERS; DE-NOISING; HUMAN INTENTIONS; INTENT RECOGNITION; INTENTION MODELING; SYSTEM'S PERFORMANCE;

HUMAN ROBOT INTERACTION; MAN MACHINE SYSTEMS; NETWORK ARCHITECTURE;

HUMAN COMPUTER INTERACTION;

EID: 84860015550     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2157689.2157740     Document Type: Conference Paper

References (6)

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3. R. Kelley, A. Tavakkoli, C. King, M. Nicolescu, M. Nicolescu, and G. Bebis. Understanding human intentions via hidden markov models in autonomous mobile robots. In ACM/IEEE International Conference on Human Robot Interaction, February 2010.
4. J. Y. Sung, C. Ponce, B. Selman, and A. Saxena. Human activity detection from rgbd images. In Plan, Activity and Intent Recognition, August 2011.
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