Development of an assistance robot in a hot forging work site and its performance evaluations

Song, Jiyeon; Kim, Hwanggeun; Yoon, Jungwon

doi:10.1109/aim.2015.7222661

Cited by 3 publications

(1 citation statement)

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“…Existing industrial processes in this sector cause great fatigue in workers, which is generally due to the transport of heavy products. Song et al [ 87 ] had developed an assistance device that allows compensating the weight of products in the forging industry, evaluating the effectiveness of its use with EMG signals obtained from various muscles of the forearm and hand. A reduction in the mean frequency was identified for elements of 1.5 kg, although without statistical significance.…”

Section: Results: Emg Applications In Production Engineeringmentioning

confidence: 99%

EMG Characterization and Processing in Production Engineering

Olmo

Domingo

2020

Materials

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Electromyography (EMG) signals are biomedical signals that measure electrical currents generated during muscle contraction. These signals are strongly influenced by physiological and anatomical characteristics of the muscles and represent the neuromuscular activities of the human body. The evolution of EMG analysis and acquisition techniques makes this technology more reliable for production engineering applications, overcoming some of its inherent issues. Taking as an example, the fatigue monitoring of workers as well as enriched human–machine interaction (HMI) systems used in collaborative tasks are now possible with this technology. The main objective of this research is to evaluate the current implementation of EMG technology within production engineering, its weaknesses, opportunities, and synergies with other technologies, with the aim of developing more natural and efficient HMI systems that could improve the safety and productivity within production environments.

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Section: Results: Emg Applications In Production Engineeringmentioning

confidence: 99%