EMG - Force correlation considering Fitts' law

Jangwoo Park; Woongjin Bae; Hyunkyu Kim; Shinsuk Park

doi:10.1109/MFI.2008.4648017

EMG - Force correlation considering Fitts' law

Jangwoo Park, Woongjin Bae, Hyunkyu Kim, Shinsuk Park

School of Mechanical Engineering

Research output: Contribution to conference › Paper › peer-review

12 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 language	English
Pages	644-649
Number of pages	6
DOIs	https://doi.org/10.1109/MFI.2008.4648017
Publication status	Published - 2008
Event	2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI - Seoul, Korea, Republic of Duration: 2008 Aug 20 → 2008 Aug 22

Other

Other	2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI
Country/Territory	Korea, Republic of
City	Seoul
Period	08/8/20 → 08/8/22

ASJC Scopus subject areas

Control and Systems Engineering
Software
Computer Science Applications

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10.1109/MFI.2008.4648017

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title = "EMG - Force correlation considering Fitts' law",

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.",

author = "Jangwoo Park and Woongjin Bae and Hyunkyu Kim and Shinsuk Park",

year = "2008",

doi = "10.1109/MFI.2008.4648017",

language = "English",

pages = "644--649",

note = "2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI ; Conference date: 20-08-2008 Through 22-08-2008",

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TY - CONF

T1 - EMG - Force correlation considering Fitts' law

AU - Park, Jangwoo

AU - Bae, Woongjin

AU - Kim, Hyunkyu

AU - Park, Shinsuk

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

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DO - 10.1109/MFI.2008.4648017

M3 - Paper

AN - SCOPUS:67650548470

SP - 644

EP - 649

T2 - 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI

Y2 - 20 August 2008 through 22 August 2008

ER -

EMG - Force correlation considering Fitts' law

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