Performance evaluation of excavator control device with EMG-based fatigue analysis

Kyeong Won Oh, Dongnam Kim, Daehie Hong

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


Among the many types of construction equipment, excavators have been widely used due to their versatility in various operations such as digging, crushing, and breaking, etc. In order to achieve more intuitive and intelligent control of the excavator, a new control device has recently been developed to replace the conventional joystick installed in excavators. This paper focuses on a performance evaluation method for this control device in order to determine its feasibility. The fatigue analysis method based on Electromyography (EMG) is utilized to evaluate the control performance of the devices with the assumption that fatigue can be the most critical criterion when determining an appropriate control device. Fatigue was determined by analyzing the EMG amplitude as well as the frequency spectrum. In order to investigate the feasibility of the proposed method, two different control devices are tested for performing leveling work: a haptic device and the conventional joystick lever. Through the experimental studies, it was found that the haptic device produced less muscular fatigue and the feasibility of the evaluation method was also verified.

Original languageEnglish
Pages (from-to)193-199
Number of pages7
JournalInternational Journal of Precision Engineering and Manufacturing
Issue number2
Publication statusPublished - 2014 Feb 1

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (MSIP) (No. 2007-005 6094) and the Human Resources Program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea. (No. 20124010203250)


  • EMG
  • Excavator
  • Haptic device
  • JASA method
  • Performance evaluation

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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