DESIGN OF VIRTUAL HAND TO IMPROVE PROPRIOCEPTIVE FEEDBACK FOR UPPER-LIMB PROSTHETICS APPLICATIONS

Florin-Felix RĂDUICĂ, Ionel SIMION, Ioana –Cătălina ENACHE, Oana Roxana CHIVU

Abstract


Pattern recognition is used to control myoelectric prostheses. Although there is a significant amount of research in EMG, few studies are conducted about virtual training with prosthetics. Virtual testing may constitute a solution for further prosthesis development. Our aim was to develop a way of training patients. We modelled a human hand using Autodesk Maya. The model was then rigged and prepared for animation. The animated loops of main hand grasps were controlled with assigned keyboard shortcuts in the Unity environment. A virtual hand system was developed that can be controlled using the computer keyboard. We proposed future development with an open-source solution. Patients that need training with EMG may benefit by using a sensory bracelet with the proposed system.

Full Text:

PDF

References


“The Case For Broad-Range Outcome Assessment Across Upper Limb Device Classes | Canadian Prosthetics & Orthotics Journal,” Oct. 2019.

Bensmaia, S.J., Tyler, D.J., Micera, S. “Restoration of sensory information via bionic hands,” Nat. Biomed. Eng., vol. 7, no. 4, Art. no. 4, 2020, doi: 10.1038/s41551-020-00630-8.

Wali, M., Lee-Miller, T., Babu, R., Block, H.J. “Retention of visuo-proprioceptive recalibration in estimating hand position,” Sci. Rep., vol. 13, no. 1, Art. no. 1, Apr. 2023, doi: 10.1038/s41598-023-33290-0.

Nanayakkara, V.K., Cotugno, G., Vitzilaios, N., Venetsanos, D., Nanayakkara, T., Sahinkaya, M. N. “The Role of Morphology of the Thumb in Anthropomorphic Grasping: A Review,” Front. Mech. Eng., vol. 3, 2017.

Pistohl, T., Joshi, D., Ganesh, G., Jackson, A., Nazarpour, K. “Artificial Proprioceptive Feedback for Myoelectric Control,” IEEE Trans. Neural Syst. Rehabil. Eng., vol. 23, no. 3, pp. 498–507, May 2015, doi: 10.1109/TNSRE.2014.2355856.

Mutlu, R., Singh, D., Tawk, C., Sariyildiz, E. “A 3D-Printed Soft Haptic Device with Built-in Force Sensing Delivering Bio-Mimicked Feedback,” Biomimetics, vol. 8, no. 1, Art. no. 1, Mar. 2023, doi: 10.3390/biomimetics8010127.

Boivin, M., Lin, K.-Y., Wehner, M., Milutinović, D. “Proprioceptive Touch of a Soft Actuator Containing an Embedded Intrinsically Soft Sensor using Kinesthetic Feedback,” J. Intell. Robot. Syst., vol. 107, no. 2, pp. 1–18, Feb. 2023, doi: 10.1007/s10846-023-01815-4.

Yao, Y., Yang, B., Xia, X., Peng, Z., Gao, S., Meng, X. “Design of Upper Limb Rehabilitation Training System Combining BCI and AR Technology,” in 2021 40th Chinese Control Conference (CCC), Jul. 2021, pp. 7131–7134. doi: 10.23919/CCC52363.2021.9550315.

Zilverschoon, M., Vincken, K.L., Bleys, R.L.A.W., “The virtual dissecting room: Creating highly detailed anatomy models for educational purposes,” J. Biomed. Inform., vol. 65, pp. 58–75, Jan. 2017, doi: 10.1016/j.jbi.2016.11.005.

Ravichandiran, M. et al., “Neuromuscular partitioning in the extensor carpi radialis longus and brevis based on intramuscular nerve distribution patterns: A three-dimensional modeling study,” Clin. Anat., vol. 25, no. 3, pp. 366–372, Apr. 2012, doi: 10.1002/ca.21246.

Husseini, T.F.E., Mahran, M.A. “Online orthopaedic surgical anatomical study using the visible human server,” Eur. J. Orthop. Surg. Traumatol., vol. 21, no. 4, pp. 225–230, May 2011, doi: 10.1007/s00590-010-0695-4.

Bacciaglia, A., Ceruti, A., Liverani, A. “Surface smoothing for topological optimized 3D models,” Struct. Multidiscip. Optim., vol. 64, no. 6, pp. 3453–3472, Dec. 2021, doi: 10.1007/s00158-021-03027-6.

Su, G., Hu, X., Li, J., Yin, W., Chen, S. “Mesh smoothing of human body model based on Sqrt3 subdivision algorithm,” in 2017 IEEE International Conference on Circuits and Systems (ICCS), Dec. 2017, pp. 124–128. doi: 10.1109/ICCS1.2017.8325976.

Sidaoui, S., Kacem, A., Asmi, S.E. “A Finite Volume Variational Approach for 3D Mesh Smoothing,” in 2018 Seventh International Conference on Communications and Networking (ComNet), Nov. 2018, pp. 1–5. doi: 10.1109/COMNET.2018.8622295.

Lindstrom, P., Turk, G. “Image-Driven Mesh Optimization”.

Netter, F. Netter Atlas of Human Anatomy: A Systems Approach. in Elsevier Health. Elsevier, 2022.

Feix, T., Romero, J. H.-B. Schmiedmayer, A. M. Dollar, and D. Kragic, “The GRASP Taxonomy of Human Grasp Types,” IEEE Trans. Hum.-Mach. Syst., vol. 46, no. 1, pp. 66–77, Feb. 2016, doi: 10.1109/THMS.2015.2470657.

Nayak, C., Singh, A., Chaudhary, H. “Topology optimisation of transtibial prosthesis socket using finite element analysis,” Int. J. Biomed. Eng. Technol., Jul. 2017.

Hällgren, S., Pejryd, L., Ekengren, J. “(Re)Design for Additive Manufacturing,” in Procedia CIRP, in 26th CIRP Design Conference, vol. 50. Jan. 2016, pp. 246–251. doi: 10.1016/j.procir.2016.04.150.

“The Aesthetic Appeal of Prosthetic Limbs and the Uncanny Valley: The Role of Personal Characteristics in Attraction,” Int. J. Dsign.


Refbacks

  • There are currently no refbacks.


JOURNAL INDEXED IN :