The Novel Implementation of Grip Manipulation and Haptic Feedback Into a Prosthetic Arm
DOI:
https://doi.org/10.58445/rars.1120Keywords:
Robotics, Prosthetics, Engineering, Leader-Follower, Haptic MotorsAbstract
In daily life, manipulating and feeling objects is essential for autonomy and engagement in various activities. However, individuals relying on prosthetic limbs often encounter barriers such as high costs, ineffective feedback, and limited design adaptability. Unlike conventional prosthetic limbs, which frequently struggle to integrate seamlessly and provide intuitive control, the robotic arm outlined in this study represents a leap in functionality and user experience. At the core of its design lies a specialized glove outfitted with a calibrated array of flex-sensing resistors capable of precisely detecting and interpreting the wearer's movements. These sensors input to the robotic arm, translating the user's gestures into motions that follow human hands. The fingertips are equipped with force-sensing resistors to discern the magnitude of force applied during gripping actions. This real-time sensory feedback is conveyed to the user through a haptic system integrated into the glove. By modulating the intensity and pattern of vibrations, users can gauge their grip strength and manipulate their grasp of the object accordingly. Comprehensive experiments were conducted across various scenarios to assess its performance, agility, strength, and sensory accuracy. Through refinement, the author aims to optimize functionality and reliability, enhancing practicality for users. This project has broader implications for the prosthetics community. By utilizing the scalability and cost-effectiveness of this model, the author envisions tailored solutions that empower individuals with limb differences to live more independently.
References
Karam, Z. A., Al-Kadhimi, A. M., and Saeed, E. A. (2018). “Design and implementation of a wireless robotic human hand motion-controlled using Arduino,” in 2018 International Conference on Advanced Science and Engineering (Duhok: ICOASE).
Corbett EA, Perreault EJ, Kuiken TA. Comparison of electromyography and force as interfaces for prosthetic control. J Rehabil Res Dev. 2011;48(6):629-41. doi: 10.1682/jrrd.2010.03.0028. PMID: 21938651; PMCID: PMC4316207.
C. P. Premarathna, I. Ruhunage, D. S. Chathuranga and T. D. Lalitharatne, "Haptic Feedback System for an Artificial Prosthetic Hand for Object Grasping and Slip Detection: A Preliminary Study," 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), Kuala Lumpur, Malaysia, 2018, pp. 2304-2309, doi: 10.1109/ROBIO.2018.8665044.
Nhon P. N. Q., et al. "Intelligent Control of Rehabilitation Robot: Auto Tuning PID Controller with Interval Type 2 Fuzzy for DC Servomotor." Procedia Computer Science 42 (2014): 183-190.
Hande1 J., et al. "Design for Robotic Hand Using Flex-sensor." International Journal of Advanced Research in Electronics and Communication Engineering 4.12 (2015): 2846-2850.
M. C. Carrozza et al., "A Cosmetic Prosthetic Hand with Tendon Driven Under-Actuated Mechanism and Compliant Joints: Ongoing Research and Preliminary Results," Proceedings of the 2005 IEEE International Conference on Robotics and Automation, Barcelona, Spain, 2005, pp. 2661-2666, doi: 10.1109/ROBOT.2005.1570515.
M. C. Carozza et al., "On the development of a novel adaptive prosthetic hand with compliant joints: experimental platform and EMG control," 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, Edmonton, AB, Canada, 2005, pp. 1271-1276, doi: 10.1109/IROS.2005.1545585.
A. Fulzele, H. Kocha, A. Jain, D. Sawant and A. Raut, "3D Printed Prosthetic Arm," 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), RUPNAGAR, India, 2020, pp. 109-114, doi: 10.1109/ICIIS51140.2020.9342659.
Ramlee MH, Ammarullah MI, Mohd Sukri NS, Faidzul Hassan NS, Baharuddin MH, Abdul Kadir MR. Investigation on three-dimensional printed prosthetics leg sockets coated with different reinforcement materials: analysis on mechanical strength and microstructural. Sci Rep. 2024 Mar 21;14(1):6842. doi: 10.1038/s41598-024-57454-8. PMID: 38514731; PMCID: PMC10958049.
Hand Design, http://inmoov.fr/hand-and-forarm, May,2018
Türker KS. Electromyography: some methodological problems and issues. Phys Ther. 1993 Oct;73(10):698-710. doi: 10.1093/ptj/73.10.698. PMID: 8378425.
Hasan S. (2016). Biomechatronic Design Optimization of Anthropomorphic Artificial Han for Prosthetic. (Unpublished master's thesis). AL-Nhrain University, Bagdad, Iraq.
Fougner, A., Stavdahl, Ø., & Kyberd, P. J. (2016). System training and assessment in simultaneous proportional myoelectric prosthesis control. Journal of NeuroEngineering and Rehabilitation, 13(1), 1-12.
Ziegler-Graham, K., MacKenzie, E. J., Ephraim, P. L., Travison, T. G., & Brookmeyer, R. (2008). Estimating the prevalence of limb loss in the United States: 2005 to 2050. Archives of Physical Medicine and Rehabilitation, 89(3), 422-429.
Hebert, J. S., Olson, J. L., Morhart, M. J., & Dawson, M. R. (2016). Marzena. Rapid prosthetic socket fabrication using digital technology. Prosthetics and Orthotics International, 40(2), 204-211.
Segas E, Mick S, Leconte V, Dubois O, Klotz R, Cattaert D, de Rugy A. Intuitive movement-based prosthesis control enables arm amputees to reach naturally in virtual reality. Elife. 2023 Oct 17;12:RP87317. doi: 10.7554/eLife.87317. PMID: 37847150; PMCID: PMC10581689.
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