Delivering key signals to the machine: seeking the electric signal that muscles emanate

Bani Hashim, Ahmad Yusairi and Maslan, Mohd Nazmin and Raja Abdullah, Raja Izamshah and Mohamad, Imran Syakir (2014) Delivering key signals to the machine: seeking the electric signal that muscles emanate. Journal of Physics Conference Series, 546 (1). pp. 1-9. ISSN 1757-8981

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Abstract

Due to the limitation of electric power generation in the human body, present human-machine interfaces have not been successful because of the nature of standard electronics circuit designs, which do not consider the specifications of signals that resulted from the skin. In general, the outcomes and applications of human-machine interfaces are limited to custom-designed subsystems, such as neuroprosthesis. We seek to model the bio dynamical of sub skin into equivalent mathematical definitions, descriptions, and theorems. Within the human skin, there are networks of nerves that permit the skin to function as a multi dimension transducer. We investigate the nature of structural skin. Apart from multiple networks of nerves, there are other segments within the skin such as minute muscles. We identify the segments that are active when there is an electromyography activity. When the nervous system is firing signals, the muscle is being stimulated. We evaluate the phenomena of biodynamic of the muscles that is concerned with the electromyography activity of the nervous system. In effect, we design a relationship between the human somatosensory and synthetic systems sensory as the union of a complete set of the new domain of the functional system. This classifies electromyogram waveforms linked to intent thought of an operator. The system will become the basis for delivering key signals to machine such that the machine is under operator’s intent, hence slavery.

Item Type:	Article
Uncontrolled Keywords:	key signals, muscles emanate
Subjects:	Q Science > Q Science (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Manufacturing Engineering > Department of Robotics and Automation
Depositing User:	Dr. Ahmad Yusairi Bani Hashim
Date Deposited:	22 Jan 2015 04:25
Last Modified:	20 Jul 2023 16:07
URI:	http://eprints.utem.edu.my/id/eprint/13995
Statistic Details:	View Download Statistic

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