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We propose a joint force estimation method to compute elbow flexion force using surface electromyogram (sEMG) considering time-varying effects in a fatigue condition. Muscle fatigue is a major cause inducing sEMG changes with respect to time over long periods and repetitive contractions. The proposed method composed the muscle-twitch model representing the force generated by a single spike and the...
Many studies have estimated joint force using surface electromyography (SEMG), however, the time-variant characteristic of SEMG is not considered. The change of SEMG amplitude is one of manifestations of muscle fatigue. This study proposes a force estimation method using SEMG in fatiguing contraction. The SEMG amplitude is used to determine the signal states by k-means clustering method. According...
Surface electromygraphy (sEMG) provides information of the neural drive to the muscle, so muscle force estimation by sEMG is of high relevance in biomechanical studies and in bionic applications. Even though mean absolute value (MAV) has been widely used for sEMG amplitude estimation due to the probabilistic nature of sEMG, but it has been used without any comprehensive physiological justification...
Due to difficulties in measurement of muscle activities and understanding a user's intention under different configurations, controlling machine forces using surface electromyogram (SEMG) is difficult in a human-machine interface (HMI). This study describes a novel HMI using Hill-based muscle model to control the isometric force of a robotic thumb that considers the importance of the thumb in hand...
Due to the difficulties in measurement of muscle activities and the complex musculoskeletal structure, estimations of the thumb-tip force in real time have been a challenge for controlling artificial prosthesis naturally. This study describes an isometric thumb-tip force estimation technique based on phenomenological muscle model named Hill's model. The surface electromyogram(sEMG) signals of the...
Surface electromyography (sEMG) has been widely used to estimate muscle activity. However, satisfying both low variability and rapid responsiveness of muscle activities using standard signal processing techniques such as the moving average (MAV), root mean square (RMS), and low-pass filter continues to present challenges. To address these issues, we propose a new method for EMG amplitude estimation...
Collision avoidance has been a significant issue to guarantee human's safety in the robot workspace. This paper presents real-time motion intention estimation based collision avoidance method using surface electromyography (sEMG). An ANN algorithm was used to estimate the upper limb motions of a subject from sEMG signals on five muscles, and the robot was controlled to keep the safety distance from...
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