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  • Daehie Hong's research works | Korea University, Seoul (KU

    Performance Evaluation of Excavator Control Device with EMG-based Fatigue Analysis control of the excavator, a new control device has recently been developed to replace the conventional

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  • International Journal of Precision Engineering and

    Feb 09, 2014 · Performance evaluation of excavator control device with EMG-based fatigue analysis Authors. Kyeong Won Oh; Dongnam Kim; Daehie Hong; Content type: OriginalPaper Published: 09 February 2014; Pages: 193 - 199

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  • Frontiers | Surface EMG in Clinical Assessment and

    This article addresses the potential clinical value of techniques based on surface electromyography (sEMG) in rehabilitation medicine with specific focus on neurorehabilitation. Applications in exercise and sport pathophysiology, in movement analysis, in ergonomics and occupational medicine, and in a number of related fields are also considered. The contrast between the extensive scientific

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  • Evaluation of hydraulic excavator Human–Machine Interface

    May 01, 2014 · Excavator control standards (Heavy Equipment Forums, 2006). Although the HMI of an excavator appears simple in design, as seen from the few elements that it comprises of, developing the needed skills to effectively operate the hydraulic excavator requires years of on-the-job training and education ( Wang and Dunston, 2007, Langer et al., 2012 ).

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  • Performance Evaluation of EEG/EMG Fusion Methods for

    Jun 01, 2019 · DOI: 10.1109/ICORR.2019.8779465 Corpus ID: 199058335. Performance Evaluation of EEG/EMG Fusion Methods for Motion Classification @article{Tryon2019PerformanceEO, title={Performance Evaluation of EEG/EMG Fusion Methods for Motion Classification}, author={Jacob Tryon and Evan Friedman and Ana Luisa Trejos}, journal={2019 IEEE 16th International Conference on …

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  • Development of an intuitive user interface for a hydraulic

    Performance Evaluation of Excavator Control Device with EMG-based Fatigue Analysis is utilized to evaluate the control performance of the devices with the assumption that fatigue can be the

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  • Evaluation of head orientation and neck muscle EMG signals

    Mar 05, 2015 · The difference in performance of the head orientation and EMG-based interfaces in the 3D control of a robot arm is in contrast to that seen in 2D computer cursor control with the same command sources, where head orientation was shown to be superior in terms of Path Efficiency (88 ± 2% vs. 61 ± 10%) and Overshoot (32 ± 8% vs. 83 ± 40%) and

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  • Development of a Soft Exosuit System for Walking

    May 18, 2020 · D. H. Hong and K. W. Oh, "Performance evaluation of excavator control device with EMG-based fatigue analysis," International Journal of Precision Engineering and Manufacturing, vol. 15, no. 2, pp. 193–199, 2014. MathSciNet Article Google Scholar [22]

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  • Safety & Performance Testing – Medical Device Testing

    Jul 14, 2021 · Eurofins Medical Device Testing performs safety and essential performance testing according to IEC 60601 and IEC 61010 standards for medical electrical equipment and in vitro diagnostic medical devices. We document the results with test reports and …

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  • Mpower. Be Strong. The revolution of muscle strength

    Mpower is a fully mobile wireless EMG device with high quality EMG signal and online state-of-the-art signal analysis. sEMG signal is proportional to your muscle's activation level For good training results, it is important to know that the training activates the right muscles to proper activation level.

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  • Multiday Evaluation of Techniques for EMG Based

    63 EMG suggests that combining a new control strategy by 64 combining multiple channels from the surface and 65 intramuscular EMG can increase the amount of information 66 harvested from the body [33]. The combined effect of 67 surface and intramuscular EMG could improve the 68 performance of selected classifiers.

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  • Evaluation of hydraulic excavator Human–Machine …

    May 01, 2014 · Excavator control standards (Heavy Equipment Forums, 2006). Although the HMI of an excavator appears simple in design, as seen from the few elements that it comprises of, developing the needed skills to effectively operate the hydraulic excavator requires years of on-the-job training and education ( Wang and Dunston, 2007, Langer et al., 2012 ).

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  • EMG Signal Processing for Hand Motion Pattern Recognition

    channels of EMG signals were recorded simutaneosuly using Biopac data acquisition system. EMG signals were processed for robotic hand motion controlled while the same signals were recorded for off-line data analysis and motion pattern recognition. Figure 2: The flowchart of data acquisition and signal processing for ML performance evaluation.

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  • Movement Performance of Human-Robot Cooperation Control

    Although the merits of electromyography (EMG)-based control of powered assistive systems have been certified, the factors that affect the performance of EMG-based human-robot cooperation, which are very important, have received little attention. This study investigates whether a more physiologically …

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  • (PDF) Operator Efficiency Improvements from Novel …

    Performance Evaluation of Excavator Control Device with EMG-based Fatigue Analysis is utilized to evaluate the control performance of the devices with the assumption that fatigue can be the

    Learn More
  • Evaluation of head orientation and neck muscle EMG signals

    Mar 05, 2015 · The difference in performance of the head orientation and EMG-based interfaces in the 3D control of a robot arm is in contrast to that seen in 2D computer cursor control with the same command sources, where head orientation was shown to be superior in terms of Path Efficiency (88 ± 2% vs. 61 ± 10%) and Overshoot (32 ± 8% vs. 83 ± 40%) and

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  • A From Electromyogram to Password: Exploring the Privacy

    fer sensitive secrets from coarse grained EMG signals, when the users are interacting with other computing systems in the physical world. To demonstrate the feasibility of attack, we use the leading EMG-based gesture control device, Myo, as the platform for the study. We consider two scenarios which happen almost every day in our daily lives.

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  • EMG Signal Processing for Hand Motion Pattern Recognition

    channels of EMG signals were recorded simutaneosuly using Biopac data acquisition system. EMG signals were processed for robotic hand motion controlled while the same signals were recorded for off-line data analysis and motion pattern recognition. Figure 2: The flowchart of data acquisition and signal processing for ML performance evaluation.

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  • Implementation of EMG- and Force-Based Control Interfaces

    While there is an extensive number of studies on the development and evaluation of electromyography (EMG)- and force-based control interfaces for assistive devices, no studies have focused on testing these control strategies for the specific case of adults with Duchenne muscular dystrophy (DMD).

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  • Techniques of EMG signal analysis: detection, processing

    Mar 23, 2006 · In 1983 have approached a problem similar to Graupe and Cline, namely control of prosthetic devices from EMG signals, by AR models of multiple EMG signals. In 1986, Zhou et al . ( 33 ) represented the surface EMG as an AR model with the delayed intramuscular EMG signal as the input.

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