Abstract
Surface electromyography (sEMG) has often enabled operators to generate electrical muscle signals in order to control robotic arms or prosthetics. Alternatively, sEMG has recently been employed to control other types of equipment such as computer keyboards, which indicates that sEMG-machine interfaces can be a means of controlling actual automobiles or computer-simulated automobiles. Therefore, the current study pertains to a sEMG-controlled virtual car in a PC platform driving simulator. A method is proposed for implementing a sEMG-machine interface that controls the steering of the virtual car.
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References
Basmajian, J.V., De Luca, C.J.: Muscles Alive: Their Functions Revealed by Electromyography. Williams & Wilkins, Baltimore (1985)
Wang, N., Lao, K., Zhang, X.: Design and myoelectric control of an anthropomorphic prosthetic hand. J. Bionic Eng. 14, 47–59 (2017)
Oskoei, M.A., Hu, H.: Myoelectric control systems – a survey. Biomed. Sig. Process. Control 2, 275–294 (2007)
Viteckova, S., Kutilek, P., Jirina, M.: Wearable lower limb robotics: a review. Biocybern. Biomed. Eng. 33, 96–105 (2013)
Nagata, K., Ando, K., Magatani, K., Yamada, M.: Development of the hand motion recognition system based on surface EMG using suitable measurement channels for pattern recognition. In: Proceedings of the 29th Annual International Conference of the IEEE EMBS, pp. 5214–5217 (2007)
Takizawa, N., Wakita, Y., Nagata, K., Magatani, K.: A development of the equipment control system using SEMG. In: Lim, C.T., Goh, J.C.H. (eds.) ICBME 2008, Proceedings, vol. 23, pp. 923–926. Springer, Heidelberg (2009)
De Luca, C.J.: Surface Electromyography: Detection and Recording. DelSys Incorporated (2002)
AnalogRead(). https://www.arduino.cc/en/Reference/analogRead
Figliola, R.S., Beasley, D.E.: Theory and Design for Mechanical Measurements. Wiley, Hoboken (2006)
Chatham, A., Walmink, W., Mueller, F.: UnoJoy!: a library for rapid video game prototyping using arduino. In: CHI 2013 Extended Abstracts (2013)
De Luca, G.: Fundamental Concepts in EMG Signal Acquisition. DelSys Incorporated (2003)
EMG100C – Electromyogram Amplifier Module. https://www.biopac.com/wp-content/uploads/EMG100C.pdf
Ando, K., Nagata, K., Kitagawa, D., Shibata, N.: Development of the input equipment for a computer using surface EMG. In: Proceedings of the 28th IEEE EMBS Annual International Conference, pp. 1331–1334 (2006)
Blackler, A., Popovic, V.: Editorial: towards intuitive interaction theory. Interact. Comput. 27(3), 203–209 (2015)
Chattopadhyay, D., Bolchini, D.: Motor-intuitive interactions based on image schemas: aligning touchless interaction primitives with human sensorimotor abilities. Interact. Comput. 27(3), 327–343 (2015)
BioNomadix 2CH Wireless EMG Amplifire. https://www.biopac.com/product/bionomadix-2ch-wireless-emg-amplifier/
SENIAM. http://www.seniam.org/
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Nacpil, E.J., Zheng, R., Kaizuka, T., Nakano, K. (2018). Implementation of a sEMG-Machine Interface for Steering a Virtual Car in a Driving Simulator. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2017. Advances in Intelligent Systems and Computing, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-319-60591-3_25
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DOI: https://doi.org/10.1007/978-3-319-60591-3_25
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