EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 363 (2026) EPJ Web Conf., 363 (2026) 02003 References
Open Access
Issue
EPJ Web Conf.
Volume 363, 2026
International Conference on Low-Carbon Development and Materials for Solar Energy (ICLDMS’26)
Article Number 02003
Number of page(s) 12
Section Engineering Materials
DOI https://doi.org/10.1051/epjconf/202636302003
Published online 16 April 2026
  1. D. Segura, E. Romero, V.E. Abarca, D.A. Elias, Upper limb prostheses by the Level of Amputation: A Systematic review, Prosthesis, 6(2), 277–300,(2024).https://doi.org/10.3390/prosthesis6020022 [Google Scholar]
  2. B. Abdikenov, D. Zholtayev,K. Suleimenov, N. Assan, K. Ozhikenov, A. Ozhikenova,N. Nadirov, A. Kapsalyamov, Emerging frontiers in robotic Upper-Limb prostheses: mechanisms, materials, tactile sensors and Machine Learning-Based EMG control: A Comprehensive review, Sensors, 25(13),3892, (2025).https://doi.org/10.3390/s25133892 [Google Scholar]
  3. A. Marinelli, N. Boccardo, D.D. Domenico, G. Caserta, M. Canepa, G. Gini, G. Barresi, M. Laffranchi, L.D. Michieli, M. Semprini, Active upper limb prostheses: a review on current state and upcoming breakthroughs, Prog. biomed. eng., 5(1), 012001,(2022). https://doi.org/10.1088/2516-1091/acac57 [Google Scholar]
  4. P. Gurav, S.P. Udgave, Innovative prosthetic hand design: integrating EMG sensors and 3D printing for enhanced usability, Asian Rev Mech Eng, 13(1), 11–16,(2024).https://doi.org/10.70112/arme-2024.13.1.4243 [Google Scholar]
  5. S. Kansal, D. Garg, A. Upadhyay, S. Mittal, G.S. Talwar, DL-AMPUT-EEG: Design and development of the low-cost prosthesis for rehabilitation of upper limb amputees using deep-learning-based techniques, Eng. Appl. Artif. Intell., 126, 106990, (2023). https://doi.org/10.1016/j.engappai.2023.106990 [Google Scholar]
  6. S. Kaviyarasan, S.I. Hussain, J. Jaisri, Design and Development of a 6-Axis Robotic Arm with Integrated WeightMeasurement System, 2025 (ICACRS), pp. 455–460, (2025).https://doi.org/10.1109/ICACRS67045.2025.11324434 [Google Scholar]
  7. A.K.Vimal, S. Sharma,A.K. Godiyal,Upper limb prosthesis: advancement and challenges,IntechOpen eBooks, (2025).https://doi.org/10.5772/intechopen.1013089 [Google Scholar]
  8. L. Lin,Y. Dai,G.Zhang, Y. Ge, A.M. Mayet, X. Pan, G. Yang, M. Lin, Low-computational EMG gesture recognition for prosthetic control via handcrafted features and lightweightMLP, RINENG, 27,106602,(2025).https://doi.org/10.1016/j.rineng.2025.106602 [Google Scholar]
  9. A.J. Kalita, M.P. Chanu, N.M. Kakoty, R.K.Vinjamuri, S.Borah, evaluation of a realtime EMG controlled prosthetic hand, Wearable Technologies, 6, e18, (2025). https://doi.org/10.1017/wtc.2025.7 [Google Scholar]
  10. N. Nibe, N. Barpute, Y. Pawar, R. Sutar, K.N. Wakchaure, Design and Development of Low-Cost Myoelectric Prosthetic Arm for Upper Limb Amputees, 4th ICCAKM, IEEE Access, 1-6, (2023).https://doi.org/10.1109/ICCAKM58659.2023.10449544 [Google Scholar]
  11. A.Q. Tran, D.N. Phu, N.Q. Tran, T.H. Dang, Design of prosthetic hand controlled by real-time EMG signal acquisition, 12th ICCAIS, IEEE Access, 34-38, (2023). https://doi.org/10.1109/ICCAIS59597.2023.10382281 [Google Scholar]
  12. N. Ahmad, M. Talha, Z. Kausar, EMG Based Control of Prosthetic Hand for Trans-Humeral Amputee, HITE 2024, IEEE Access, 1-4, (2024).https://doi.org/10.1109/HITE63532.2024.10777219 [Google Scholar]
  13. R.Uejima, R. Kato, S. Yoshida, M. Kodama, A multi-DoF myoelectric upper-limb prosthesis with targeted muscle reinnervation for transhumeral amputees, Advanced Robotics, 39(21),1370–1380,(2025).https://doi.org/10.1080/01691864.2025.2571557 [Google Scholar]
  14. S.Kishore, S.I. Hussain, T. Sibirajeshwaran, Autonomous Aerial Vehicles Revolutionizing the Future of Unmanned Flight, IEEE Xplore, Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2024, 2024, pp. 1251–1256.https://ieeexplore.ieee.org/document/10829326/ [Google Scholar]
  15. J. Fan, M. Jiang, C. Lin, G. Li, J. Fiaidhi, C. Ma, W. Wu, ImprovingsEMG-based motion intention recognition for upper-limb amputees using transfer learning, Neural Comput. Appl, 35(22),16101–16111,(2021). https://doi.org/10.1007/s00521-021-06292-0 [Google Scholar]
  16. D. Tokunaga, S. Nishikawa,K. Kiguchi, Estimating deficient muscle activity using LSTM with integrated damping neurons for EMG-Based control of robotic prosthetic fingers, IEEE Access, 11, 97408–97415,(2023). https://doi.org/0.1109/ACCESS.2023.3312575 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.