Journal of Electronics and Informatics
IRO Journals
Volume 6 — Issue 3 — September 2024

Emotionally Intelligent Next-Generation Touch-Controlled Prosthetic Hand

https://doi.org/10.36548/jei.2024.3.002
Abhirami J S.
Assistant Professor, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, India
Richard R.
Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, India
Muhammed Ajilan P T.
Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, India
Mahendran S.
Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, India
PDF
PDF

How to Cite

S., Abhirami J, Richard R., Muhammed Ajilan P T., and Mahendran S. 2024. “Emotionally Intelligent Next-Generation Touch-Controlled Prosthetic Hand”. Journal of Electronics and Informatics 6 (3): 227-39. https://doi.org/10.36548/jei.2024.3.002.
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver AMA

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Keywords

— Prosthetic Hand
— Tactile Feedback
— EMG Sensors
— Affordable
— User-Centered
Published: 12-07-2024

Abstract

The research aims to develop an affordable and functional prosthetic hand with tactile feedback capabilities, addressing the challenges faced by individuals with upper limb differences. Through the integration of advanced sensing technologies such as EMG sensors and vibration motors, the prosthetic hand enables users to experience tactile sensations while grasping or interacting with objects. The design prioritizes modularity, adjustability, and lightweight materials to ensure a comfortable and customizable fit for a diverse range of users. Additionally, the prototype incorporates user-friendly interfaces and accessible components for ease of maintenance and repair. Through iterative testing and refinement, the proposed prosthetic hand seeks to provide a user-centered solution that enhances functionality, usability, and affordability in prosthetic hand technology. Ultimately, the prosthetic hand aims to empower individuals with upper limb differences by restoring dexterity and sensory perception, improving their quality of life, and fostering greater independence in daily activities.

References

  1. J. T. Belter and A. M. Dollar, "Performance characteristics of anthropomorphic prosthetic hands," 2011 IEEE International Conference on Rehabilitation Robotics, Zurich, Switzerland, 2011, pp. 1-7,
  2. Birglen, Lionel, and Clément M. Gosselin. "Grasp-state plane analysis of two-phalanx underactuated fingers." Mechanism and Machine Theory 41, no. 7 (2006): 807-822.
  3. Bitzer, Sebastian, and Patrick Van Der Smagt. "Learning EMG control of a robotic hand: towards active prostheses." In Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA, Orlando, FL, USA, 2006., pp. 2819-2823. IEEE, 2006.
  4. Burck, James, Michael J. Zeher, Robert Armiger, and James D. Beaty. "Developing the world’s most advanced prosthetic arm using model-based design." The MathWorks News and Notes (2009): 1-4.
  5. Carbone, Giuseppe, Cesare Rossi, and Sergio Savino. "Performance comparison between FEDERICA hand and LARM hand." International Journal of Advanced Robotic Systems 12, no. 7 (2015): 90.
  6. Chan, Adrian DC, and Kevin B. Englehart. "Continuous myoelectric control for powered prostheses using hidden Markov models." IEEE Transactions on biomedical engineering 52, no. 1 (2004): 121-124.
  7. Chang, Wen-Tung, Ching-Huan Tseng, and Long-Iong Wu. "Creative mechanism design for a prosthetic hand." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 218, no. 6 (2004): 451-459.
  8. Ciocarlie, Matei, Claire Lackner, and Peter Allen. "Soft finger model with adaptive contact geometry for grasping and manipulation tasks." In second joint eurohaptics conference and symposium on haptic interfaces for virtual environment and teleoperator systems (WHC'07), pp. 219-224. IEEE, 2007.
  9. Dechev, Nikola, W. L. Cleghorn, and S. Naumann. "Multiple finger, passive adaptive grasp prosthetic hand." Mechanism and machine theory 36, no. 10 (2001): 1157-1173.
  10. Ehrsson, H. Henrik, Birgitta Rosén, Anita Stockselius, Christina Ragnö, Peter Köhler, and Göran Lundborg. "Upper limb amputees can be induced to experience a rubber hand as their own." Brain 131, no. 12 (2008): 3443-3452.
  11. Fukuda, Osamu, Toshio Tsuji, Makoto Kaneko, and Akira Otsuka. "A human-assisting manipulator teleoperated by EMG signals and arm motions." IEEE transactions on robotics and automation 19, no. 2 (2003): 210-222.
  12. Geng, Yanjuan, Long Yu, Miao You, and Guanglin Li. "A pilot study of EMG pattern based classification of arm functional movements." In 2010 Second WRI Global Congress on Intelligent Systems, vol. 3, pp. 317-320. IEEE, 2010.
  13. Castellini, Claudio, and Patrick Van Der Smagt. "Surface EMG in advanced hand prosthetics." Biological cybernetics 100 (2009): 35-47.
  14. Parker, P., K. Englehart, and Bernard Hudgins. "Myoelectric signal processing for control of powered limb prostheses." Journal of electromyography and kinesiology 16, no. 6 (2006): 541-548.
  15. Kyberd, Peter J., Constanze Wartenberg, Leif Sandsjö, Stewe Jönsson, David Gow, Joakim Frid, Christian Almström, and Lena Sperling. "Survey of upper-extremity prosthesis users in Sweden and the United Kingdom." JPO: Journal of Prosthetics and Orthotics 19, no. 2 (2007): 55-62.
  16. Carrozza, Maria C., B. Massa, Silvestro Micera, R. Lazzarini, M. E. Zecca, and Paolo Dario. "The development of a novel prosthetic hand-ongoing research and preliminary results." IEEE/Asme Transactions on Mechatronics 7, no. 2 (2002): 108-114.
  17. Castro, Maria Claudia F., Sridhar P. Arjunan, and Dinesh K. Kumar. "Selection of suitable hand gestures for reliable myoelectric human computer interface." Biomedical engineering online 14 (2015): 1-11.