Abstract
The ability of people without limbs to do their own work and their adaptation to life can be achieved with bionic hands. The aim of this study is to realize the design and application of bionic hand that can be controlled by mobile application for handicapped individuals. The aerobic designs necessary to solve this problem were made and a prototype was produced and controlled with Arduino Mega 2560 microcontroller. For the five fingers of the bionic hand designed with the work carried out, the independent movement of the five fingers from the fingertip to all the other joints has been successfully performed using five SG90 model mini servomotors. The movement of the servomotors is provided by the software developed with the MIT AI2 Companion program on the mobile phone. The software algorithm has been fulfilled separately for each finger and each joint. Microcontroller and mobile phone communication is done with HC-06 Bluetooth module. Servomotor fin connections are made with fishing line with the tip of each finger. The two joints of the thumb and three joints of the other four fingers are controlled by winding the fishing line, which is connected to the servomotor, according to the determined rotation angle. Thus, the control of the fingers on the hand was realized through the mobile application. Ultimately, the effective use of the bionic hand will have an impact on every individual's participation in society. Every individual who is brought into the society has the potential to be an individual who enters the business life at the same time. For this reason, this will allow for an increase in employment and working power. It is also more sustainable because it raises people's living standards.
Supporting Institution
TÜBİTAK
Project Number
1139B412101827
Thanks
This work was supported by TUBITAK 2209-B (Project Number 1139B412101827). We would like to thank Dr. Barbaros KIRİŞKEN in Vestel R&D Innovative Technologies Group Manager Doctor for her industry consultancy. In addition, this study was published in full text at the International Conference on Science and Technology (ICONST 2022, 7-9 September, Budva, Montenegro).
References
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- Andrecioli, R., Engeberg, E. D. (2013). Adaptive sliding manifold slope via grasped object stiffness detection with a prosthetic hand. Mechatronics, 23(8), 1171-1179. https://doi.org/10.1016/j.mechatronics.2013.10.006 Aydın, E. (2020). Yüksek hassasiyetli biyo-elektronik el tasarımı (Master's thesis, Maltepe Üniversitesi, Lisansüstü Eğitim Enstitüsü).
- Deng, H., Zhong, G., Li, X., Nie, W. (2016). Slippage and deformation preventive control of bionic prosthetic hands. IEEE/ASME Transactions On Mechatronics, 22(2), 888-897. https://doi.org/10.1109/TMECH.2016.2639553
- Hidayanti, F., Rahmah, F., Wiryawan, A. (2020). Design of motorcycle security system with fingerprint sensor using arduino uno microcontroller. International Journal of Advanced Science and Technology, 29(05), 4374-4391.
- Karaçizmeli, C., Çakır, G., Tükel, D. (2014, April). Robotic hand project. In 2014 22nd Signal Processing and Communications Applications Conference (SIU) (pp. 473-476). IEEE. https://doi.org/10.1109/SIU.2014.6830268
- Klug, S., Möhl, B., Von Stryk, O., Barth, O. (2005). Design and application of a 3 DOF bionic robot arm. regulation, 11, 12.
- Özsoy, İ., Okyayuz, Ü. H. (2016). Amputasyon geçirmiş kişilerin baş etme becerileri. Olgu sunumu. Klinik Psikiyatri Dergisi, 19(1), 45-51. https://doi.org/10.5505/kpd.2016.30074
- Paaßen, B., Schulz, A., Hahne, J., Hammer, B. (2018). Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing, 298, 122-133. https://doi.org/10.1016/j.neucom.2017.11.072
- Süzen, A. A., Ceylan, O., Çetin, A., Ulusoy, A. (2017). Arduino kontrollü çizim robotu. Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 8(Özel (Special) 1), 79-87.
- Şenli, K. (2011). EMG (Elektromiyografi) Kontrollü Protez Kol Tasarımı (Doctoral Dissertation, DEÜ Fen Bilimleri Enstitüsü).
- VanHuy, T., Minh, D. T., Kien, N. P., Vu, T. A. (2017). Simple robotic hand in motion using arduino controlled servos. International Journal of Science and Research (IJSR), 6(3), 972-975. https://doi.org/10.21275/ART20171455
Abstract
Project Number
1139B412101827
References
- Allahverdi, Ç., Şahan, A., Özdemir, M. Y. (2019, July). Mühendislik ve temel bilim projelerinde Arduino kullanımı. In International Congress on Human Computer Interaction, Optimization and Robotic Applications, (pp. 70–74). https://doi.org/10.36287/setsci.4.5.016
- Andrecioli, R., Engeberg, E. D. (2013). Adaptive sliding manifold slope via grasped object stiffness detection with a prosthetic hand. Mechatronics, 23(8), 1171-1179. https://doi.org/10.1016/j.mechatronics.2013.10.006 Aydın, E. (2020). Yüksek hassasiyetli biyo-elektronik el tasarımı (Master's thesis, Maltepe Üniversitesi, Lisansüstü Eğitim Enstitüsü).
- Deng, H., Zhong, G., Li, X., Nie, W. (2016). Slippage and deformation preventive control of bionic prosthetic hands. IEEE/ASME Transactions On Mechatronics, 22(2), 888-897. https://doi.org/10.1109/TMECH.2016.2639553
- Hidayanti, F., Rahmah, F., Wiryawan, A. (2020). Design of motorcycle security system with fingerprint sensor using arduino uno microcontroller. International Journal of Advanced Science and Technology, 29(05), 4374-4391.
- Karaçizmeli, C., Çakır, G., Tükel, D. (2014, April). Robotic hand project. In 2014 22nd Signal Processing and Communications Applications Conference (SIU) (pp. 473-476). IEEE. https://doi.org/10.1109/SIU.2014.6830268
- Klug, S., Möhl, B., Von Stryk, O., Barth, O. (2005). Design and application of a 3 DOF bionic robot arm. regulation, 11, 12.
- Özsoy, İ., Okyayuz, Ü. H. (2016). Amputasyon geçirmiş kişilerin baş etme becerileri. Olgu sunumu. Klinik Psikiyatri Dergisi, 19(1), 45-51. https://doi.org/10.5505/kpd.2016.30074
- Paaßen, B., Schulz, A., Hahne, J., Hammer, B. (2018). Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing, 298, 122-133. https://doi.org/10.1016/j.neucom.2017.11.072
- Süzen, A. A., Ceylan, O., Çetin, A., Ulusoy, A. (2017). Arduino kontrollü çizim robotu. Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 8(Özel (Special) 1), 79-87.
- Şenli, K. (2011). EMG (Elektromiyografi) Kontrollü Protez Kol Tasarımı (Doctoral Dissertation, DEÜ Fen Bilimleri Enstitüsü).
- VanHuy, T., Minh, D. T., Kien, N. P., Vu, T. A. (2017). Simple robotic hand in motion using arduino controlled servos. International Journal of Science and Research (IJSR), 6(3), 972-975. https://doi.org/10.21275/ART20171455
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Research Articles |
| Authors | |
| Project Number | 1139B412101827 |
| Early Pub Date | March 25, 2023 |
| Publication Date | March 31, 2023 |
| Acceptance Date | January 24, 2023 |
| Published in Issue | Year 2023 Volume: 7 Issue: 1 |
