Volume 3, Issue 3, May 2015, Page: 41-45
Analysis of Force in Human Muscle Using EMG in Hot Rolling Mill
K. Govindaraju, PG-Embedded System Technologies, Knowledge Institute of Technology, TN, India
B. Sasi Kumar, Department of EEE, Knowledge Institute of Technology, TN, India
K. Raja, Department of EEE, Knowledge Institute of Technology, TN, India
K. Murugabhoopathy3, Steel Authority of India, TN, India
Received: Mar. 20, 2015;       Accepted: Apr. 8, 2015;       Published: Apr. 22, 2015
DOI: 10.11648/j.ajss.20150303.11      View  3730      Downloads  147
The electromyography (EMG) is the measure of electrical activity produced by the muscles which is usually represented as a function of time. This electromyography can be used in various applications including identifying neuromuscular diseases, control signal for prosthetic devices, controlling machines, robots etc. The existing system commercial EMG-controlled devices are limited to rudimentary control capabilities of either discrete states (e.g. hand close/open), or one degree of freedom proportional control. The proposed system investigates the relationship between forearm electrical activity and forces exerted by the fingertips. This system is used to calculate the muscular force while lifting, pulling, pushing the object in Hot Rolling Mill with the help of electromyography. The load cell is used to calculate the force exerted by the fingertips of the human. The value of the force exerted is displayed by using the LCD. A threshold force value is fixed and it is compared with the actual force exerted by the human being. If the actual force exceeds the threshold value human beings will be affected in a way like sprain and bone rubbing etc., so an alarm is provided to indicate this situation to avoid the above mentioned accidents. The proposed system is simulated by using keil C and the simulated results are verified.
ARM Processor, EMG, Load Cell, Data Acquisition System
To cite this article
K. Govindaraju, B. Sasi Kumar, K. Raja, K. Murugabhoopathy3, Analysis of Force in Human Muscle Using EMG in Hot Rolling Mill, American Journal of Sports Science. Vol. 3, No. 3, 2015, pp. 41-45. doi: 10.11648/j.ajss.20150303.11
Jefferson Fagundes Loss, Debora Cantergi, Fabia Milman Krumholz, Marcelo La Torre, and Claudia Tarrago Candotti “Evaluating the Electromyographical Signal During Symmetrical Load Lifting”Applications of EMG in Clinical and Sports Medicine (2012)ISBN 978-953-307-798-7.
Jongsang Son, Sungjae Hwang and Youngho Kim “An EMG-based muscle force monitoring system” Journal of Mechanical Science and Technology 24 (10) (2010) 2099-2105.
Kiguchi, K.Tamura, K. ; Hayashi, Y. “Estimation of Joint Force/Torque Based On EMG Signals” Institute of Electrical and Electronics Engineers(IEEE) April (2013), 20- 24.
Rina Maiti, G.G. Ray “Study on the variation of peak isometric strength and EMG activity in static field-simulated lifting postures” International Journal of Industrial Ergonomics 33 (2004) 109-122.
C.Kendall, Adam R. Bird, Michael F. Azari “Foot posture, leg length discrepancy and low back pain – The irrelationship and clinical management using foot orthoses – An overview ”International Journal of Industrial Ergonomics.
Tzu-Hsien Lee “Pushing Strengths under Restricted Space Human Factors and Ergonomics in Manufacturing”, Vol. 17 (1) 95-102 (2007).
Eldin Henry Shroffe D P.Manimegalai “Hand Gesture Recognition Based on EMG Signals using ANN” International Journal of Computer Application Issue 3, Volume 2 (April 2013).
Y. Itoh , H. Uematsu , F. Nogata , T. Nemoto, A. Inamori, K. Koide , H.Matsuura“ Finger curvature movement recognition interface technique using SEMG signals”Journal of Achievements in Materials and Manufacturing Engineering ,Volume 23 Issue 2 August 2007.
P.A. Kaplanis, C.S. Pattichis , L.J. Hadjileontiadis , V.C. Roberts “Surface EMG analysis on normal subjects based on isometric voluntary contraction” Journal of Electromyography and Kinesiology 19 (2009) 157-171.
Laxmi Shaw, Sangeeta Bagha “Online EMG Signal Analysis for Diagnosis of Neuromuscular Diseases by using PCA And PNN” International Journal of Engineering Science and Technology (IJEST), Vol. 4 No.10 October 2012.+
Browse journals by subject