Predictive Tracking in Vision-based Hand Pose Estimation Using Unscented Kalman Filter and Multi-viewpoint Cameras

  • Causo A
  • Takemura K
  • Takamatsu J
  • et al.
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Abstract

Human-robot interaction (HRI) is the study of interactions between people (users) and robots. HRI is multidisciplinary with contributions from the fields of human-computer interaction, artificial intelligence, robotics, speech recognition, and social sciences (psychology, cognitive science, anthropology, and human factors). There has been a great deal of work done in the area of human-robot interaction to understand how a human interacts with a computer. However, there has been very little work done in understanding how people interact with robots. For robots becoming our friends, these studies will be required more and more.

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Causo, A., Takemura, K., Takamatsu, J., Ogasawara, T., Ueda, E., & Matsumoto, Y. (2010). Predictive Tracking in Vision-based Hand Pose Estimation Using Unscented Kalman Filter and Multi-viewpoint Cameras. In Human-Robot Interaction. InTech. https://doi.org/10.5772/8138

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