Grasp Recognition and Manipulative Motion Characterization from Human Hand Motion Sequences

Sing Bing Kang and Katsushi Ikeuchi
Proc. IEEE Int'l Conf. on Robotics and Automation (ICRA '94), May, 1994, pp. 1759 - 1764.


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Abstract
We are developing a system capable of observing a human performing a task and understanding the task well enough to replicate it. This approach is called Assembly Plan from Observation. In order to replicate the observed task, we have to analyze the entire sequence. This can be done by first segmenting the task sequence into its constituent pre-grasp, grasp, and manipulation phases. This paper describes the different analyses that can be done subsequent to the temporal segmentation. These include human grasp recognition, extraction of object motion, and the spatiofrequency (spectrogram) analysis of the manipulation phase.

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Lab(s) / Group(s): Task-Oriented Vision Lab
Associated Project(s): Assembly Plan from Observation

Text Reference
Sing Bing Kang and Katsushi Ikeuchi, "Grasp Recognition and Manipulative Motion Characterization from Human Hand Motion Sequences," Proc. IEEE Int'l Conf. on Robotics and Automation (ICRA '94), May, 1994, pp. 1759 - 1764.

BibTeX Reference
@inproceedings{Kang_1994_1673,
   author = "Sing Bing Kang and Katsushi Ikeuchi",
   title = "Grasp Recognition and Manipulative Motion Characterization from Human Hand Motion Sequences",
   booktitle = "Proc. IEEE Int'l Conf. on Robotics and Automation (ICRA '94)",
   pages = "1759 - 1764",
   month = "May",
   year = "1994",
   volume = "2",
}