Sensors · 2020 · 34 citations · 22 references
To improve the reliability and safety of myoelectric prosthetic control, many researchers tend to use multi-modal signals. The combination of electromyography (EMG) and forcemyography (FMG) has been proved to be a practical choice. However, an integrative and compact design of this hybrid sensor is lacking. This paper presents a novel modular EMG-FMG sensor; the sensing module has a novel design that consists of floating electrodes, which act as the sensing probe of both the EMG and FMG. This design improves the integration of the sensor. The whole system contains one data acquisition unit and eight identical sensor modules. Experiments were conducted to evaluate the performance of the sensor system. The results show that the EMG and FMG signals have good consistency under standard conditions; the FMG signal shows a better and more robust performance than the EMG. The average accuracy is 99.07% while using both the EMG and FMG signals for recognition of six hand gestures under standard conditions. Even with two layers of gauze isolated between the sensor and the skin, the average accuracy reaches 90.9% while using only the EMG signal; if we use both the EMG and FMG signals for classification, the average accuracy is 99.42%.
22
Lauren H. Smith, Levi J. Hargrove, Blair A. Lock et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2011 · 431 citations
Jian Huang, Songhyok Ri, Toshio Fukuda et al. · IEEE Transactions on Automatic Control · 2018 · 211 citations
High-order Disturbance Observer, Motion Control, Robot Control +12
Paul F. Pasquina, Melissa Evangelista, Antonio J. Carvalho et al. · Journal of Neuroscience Methods · 2014 · 201 citations · Full text
Myoelectric Sensors System, Electrical Engineering, Medical Electronics +14