Modeling of human attention based on analysis of magic

In this study, we developed a human attention model for smooth human-robot interaction. The model consists of the saliency map generation module and manipulation map generation module. The manipulation map describes top-down factors, such as human face, hands and gaze in the input image. To evaluate...

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Veröffentlicht in:	HRI '14 : proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction : March 3-6, 2014, Bielefeld, Germany S. 302 - 303
Hauptverfasser:	Tamura, Yusuke, Yano, Shiro, Osumi, Hisashi
Format:	Tagungsbericht
Sprache:	Englisch Japanisch
Veröffentlicht:	New York, NY, USA ACM 03.03.2014
Schriftenreihe:	ACM Conferences
Schlagworte:	Analytical models Attention Computational modeling Computer systems organization > Embedded and cyber-physical systems > Robotics Computing methodologies > Artificial intelligence > Control methods > Robotic planning Computing methodologies > Artificial intelligence > Planning and scheduling > Robotic planning Face Human-robot interaction magic Mathematical model Robots Visualization magic human-robot interaction attention
ISBN:	1450326587, 9781450326582
Online-Zugang:	Volltext
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