References
- Said S, Boulkaibet I, Sheikh M, Karar AS, Alkork S, Nait-Ali A. Ma-chine-learning-based muscle control of a 3D-printed bionic arm. Sensors (Basel) [Internet]. 2020;20(11):3144. Available from: http://dx.doi.org/10.3390/s20113144
- Whenish R, Antony MM, Balaji T, Selvam A, Ramprasath LS, Velu R. Design and performance of additively manufactured lightweight bionic hand. In: Proceedings Of The 14th Asia-Pacific Physics Con-ference. AIP Publishing; 2021.
- Li Z, Li H, Wang D, Wang L, Zeng X, Li Y. The development of a two-finger dexterous bionic hand with three grasping patterns-NWAFU hand. J Bionic Eng. 2020;17(4):718–31.
- Mangukiya Y, Purohit B, George K. Electromyography (EMG) sen-sor controlled assistive orthotic robotic arm for forearm movement. In2017 IEEE Sensors Applications Symposium (SAS). IEEE. 2017; 1-4.
- Babu D, Mahadevappa M, Venkatesh P, Venkatesan V, Mohamed AS. 3D printed prosthetic robot arm with grasping detection system for children. Int J Adv Sci Eng Inf Technol. 2023;13(1):226–34.
- Iqbal NV, Subramaniam K, P. SA. A review on upper-limb myoelec-tric prosthetic control. IETE J Res [Internet]. 2018;64(6):740–52. Available from: http://dx.doi.org/10.1080/03772063.2017.1381047
- Tavakoli M, Batista R, Netto A, Neves J. The UC Softhand: light-weight adaptive bionic hand with a compact twisted string actuation system. Actuators. 2015;5(1).
- Cipriani C, Segil JL, Birdwell JA, ff Weir RF. Dexterous control of a prosthetic hand using fine-wire intramuscular electrodes in targeted extrinsic muscles. IEEE Trans Neural Syst Rehabil Eng [Internet]. 2014;22(4):828–36. Available from: http://dx.doi.org/10.1109/TNSRE.2014.2301234
- Simone F, York A, Seelecke S. Design and fabrication of a three-finger prosthetic hand using SMA muscle wires. In: Lakhtakia A, Knez M, Martín-Palma RJ, editors. Bioinspiration, Biomimetics and Bioreplication. SPIE; 2015.
- Krausz NE, Rorrer RAL, Weir RF ff. Design and fabrication of a six degree-of-freedom open source hand. IEEE Trans Neural Syst Re-habil Eng [Internet]. 2016;24(5):562–72. Available from: http://dx.doi.org/10.1109/tnsre.2015.2440177
- Alves S, Babcinschi M, Silva A, Neto D, Fonseca D, Neto P. Inte-grated design fabrication and control of a bioinspired multimaterial soft robotic hand. Cyborg Bionic Syst [Internet]. 2023;4:0051. Avail-able from: http://dx.doi.org/10.34133/cbsystems.0051
- She Y, Li C, Cleary J, Su HJ. Design and fabrication of a soft robotic hand with embedded actuators and sensors. Journal of Mechanisms and Robotics. 2015;7(2):021007.
- Fras J, Althoefer K. Soft biomimetic prosthetic hand: Design, manu-facturing and preliminary examination. In: 2018 IEEE/RSJ Interna-tional Conference on Intelligent Robots and Systems (IROS). IEEE; 2018.
- Clement RGE, Bugler KE, Oliver CW. Bionic prosthetic hands: A re-view of present technology and future aspirations. Surgeon [Inter-net]. 2011;9(6):336–40. Available from: http://dx.doi.org/10.1016/j.surge.2011.06.001
- Jiang N, Chen C, He J, Meng J, Pan L, Su S, Zhu X. Bio-robotics research for non-invasive myoelectric neural interfaces for upper-limb prosthetic control: a 10-year perspective review. National sci-ence review. 2023;10(5):nwad048.
- Zhang M, Liu S, Li X, Qu L, Zhuang B, Han G. Improving sEMG-based hand gesture recognition through optimizing parameters and sliding voting classifiers. Electronics. 2024;13(7):1322.
- Hellara H, Barioul R, Sahnoun S, Fakhfakh A, Kanoun O. Compar-ative study of semg feature evaluation methods based on the hand gesture classification performance. Sensors. 2024;24(11):3638.
- Kang S, Kim H, Park C, Sim Y, Lee S, Jung Y. sEMG-based hand gesture recognition using binarized neural network. Sensors. 2023;23(3):1436.
- Xie A, Li C, Chou CH, Li T, Dai C, Lan N. A hybrid sensory feedback system for thermal nociceptive warning and protection in prosthetic hand. Frontiers in Neuroscience. 2024;18:1351348.
- Mersinkaya I, Kavsaoglu AR. A Data Acquisiton System with sEMG Signal and Camera Images for Finger Classification with Machine Learning Algorithms. Engineering, Technology&Applied Science Research. 2024;14(2):13554-8.
- Atashzar SF, Patel RV, Arami A, Pedram A. Prosthetic hand control using sEMG: a review on existing methods, challenges, and future directions. Biomed Signal Process Control. 2021;63.
- Yamada H, Shibata T, Seki M, Watanabe K. Development of an sEMG-controlled prosthetic arm with haptic feedback. Robot Auton Syst. 2019;121.
- Peerdeman B, Boere D, Witteveen H, Hermens H, Stramigioli S, Ri-etman H, Veltink P, Misra S. Myoelectric forearm prostheses: State of the art from a user-centered perspective. Journal of rehabilitation research and development. 2011;48(6):719-38.
- Park W, Yu X. Simplified Closed-Loop Thermal Feedback System in Flexible form Factor for Prosthesis. In2023 IEEE 23rd International Conference on Nanotechnology (NANO) 2023; 311-316.
- Kadhim AA, Sattar MA, Waleed AS. Prosthetic hand control using wearable gesture armband based on surface electromyography.
- Sattar NY, Syed UA, Muhammad S, Kausar Z. Real-time EMG sig-nal processing with implementation of PID control for upper-limb prosthesis. In 2019 IEEE/ASME International Conference on Ad-vanced Intelligent Mechatronics (AIM) 2019;120-125.
- Sadun AS, Jalani J, Sukor JA. Force Sensing Resistor (FSR): a brief overview and the low-cost sensor for active compliance control. InFirst international workshop on pattern recognition. SPIE. 2016; 10011:222-226.
- Arifuzzaman M, Shipon MR, Akhi JA, Sejuti SY, Rahman MT, Khan MA. Design and implementation of thermal sensor based tempera-ture measuring robot using Arduino Uno.
- Lu S, Tessier R, Burleson W. Collaborative calibration of on-chip thermal sensors using performance counters. InProceedings of the International Conference on Computer-Aided Design 2012; 15-22.
- Kim JJ, Kim J, Lee J, Shin J. Influence of lifestyle pattern on prefer-ence for prosthetic hands: understanding the development pathway for 3D-printed prostheses. J Clean Prod. 2022;379:134599.
- Veer K. Interpretation of surface electromyograms to characterize arm movement. Instrumentation Science&Technology.2014; 42(5): 513-21.