An Investigation to Determine the Most Muscle Fatigue Handwriting Pattern using EMG

Authors

  • M. Haris Anandam Department of Biomedical Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur - 603 203 Chengalpattu District, Tamil Nadu
  • M.V. Sree Krishna Kumar Department of Biomedical Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur - 603 203 Chengalpattu District, Tamil Nadu
  • Kaushik Ram Venkatesh Department of Biomedical Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur - 603 203 Chengalpattu District, Tamil Nadu
  • A. Bhargavi Haripriya Assistant Professor. Department of Biomedical Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur - 603 203, Chengalpattu District, Tamil Nadu
  • Anitha Govindhan Assistant Professor. Department of Biomedical Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur - 603 203, Chengalpattu District, Tamil Nadu

Keywords:

Electromyography, pen-holding, tripod, muscle fatigue, grips

Abstract

This study aims to examine the effects of different pen-holding methods on muscle fatigue using Electromyography (EMG). Writing requires a complex coordination of sensory, motor, and cognitive functions, making it essential to understand how various techniques can influence muscle fatigue. The research focuses on six distinct pen-holding styles, including traditional tripod grips as well as unconventional approaches such as overhand and underhand grips. By monitoring muscle activity through EMG sensors during writing tasks, unique patterns of fatigue emerge. Consistently across multiple trials, the results highlight that overhand and underhand techniques induce the highest levels of muscle fatigue. These findings have significant implications for education, ergonomics, and occupational health by providing evidence-based recommendations for enhancing writing efficiency. Moreover, they pave the way for personalized interventions aimed at guiding individuals towards ergonomic pen-holding practices in order to improve overall well-being. Overall, this research contributes valuable insights into understanding the relationship between handwriting skills development process along with its associated factors like muscle fatigue while also offering a foundation for future applications across diverse fields.

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Published

27.12.2023

How to Cite

Anandam, M. H. ., Krishna Kumar, M. S. ., Venkatesh, K. R. ., Haripriya, A. B. ., & Govindhan, A. . (2023). An Investigation to Determine the Most Muscle Fatigue Handwriting Pattern using EMG. International Journal of Intelligent Systems and Applications in Engineering, 12(9s), 49–55. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4202

Issue

Vol. 12 No. 9s (2024)

Section

Research Article

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