EMG - Force correlation considering Fitts' law

Jangwoo Park, Woongjin Bae, Hyunkyu Kim, Shin Suk Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

In recent years, many dangerous tasks are performed by robots. In most contact tasks, however, humans are far superior to their robotic counterparts. To control robot manipulators in contact tasks, the characteristics of human movements should be investigated through biological signals, such as EMG, which reflects the dexterity of human manipulation. In this study, EMG signal is analyzed through direct and numerical comparison with force estimation. The EMG and force signals were analyzed in the perspective of Fitts' law, which is a general estimation method on speed and accuracy. The results of this study show that both EMG and force controls follow Fitts' law, which suggests that both controls can be applicable as a control modality for robot control.

Original languageEnglish
Title of host publicationIEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
Pages644-649
Number of pages6
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI - Seoul, Korea, Republic of
Duration: 2008 Aug 202008 Aug 22

Other

Other2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI
CountryKorea, Republic of
CitySeoul
Period08/8/2008/8/22

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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  • Cite this

    Park, J., Bae, W., Kim, H., & Park, S. S. (2008). EMG - Force correlation considering Fitts' law. In IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (pp. 644-649). [4648017] https://doi.org/10.1109/MFI.2008.4648017