Design And Develop Robotic Arm For People With Disable Hands Using EMG And Gyroscope Sensor Control
DOI:
https://doi.org/10.36456/best.vol6.no1.8836Keywords:
Robotic Arm, Amputation,, Electromyogram,, GyroscopeAbstract
Robotics technology is currently developing rapidly, including in the medical field. In this world there are many people with hand disabilities or patients who have amputations on their wrists, so they experience difficulties in carrying out their daily activities using their hands, such as to grasp objects. Then the thought arose to conduct research, with the aim of creating a Robotic Arm that could recognize 2 movements, namely the opening and clenching of the fingers like a hand in general. The Electromyogram sensor is used as a Robotic Arm control system, while the Gyroscope with Arduino as the control center. Based on the overall test results, the Robotic Arm can be moved with muscle contractions and user gestures to open and clench finger movements.
References
Haryawan, A,. & Salechan,. (2017). Pengembangan Bahan Ajar Mikrokontroler Berbasis Arduino) Sebagai Media Pembelajaran Mata Kuliah Mikrokontroler di Politeknik Pratama Mulia Surakarta. Jurnal Politeknosains. 16(2), 1829-6181
Hilal, A,. & Manan, S,. (2013). Pemanfaatan Motor Servo Sebagai penggerak cctv Untuk Melihat Alat-alat Monitor dan Kondisi Pasien Di Ruan ICU. Gema Teknologi. 17(2).
Kadir, M, A, A,. dkk. (2019). Sistem Kontrol Tangan Robot Menggunakan Sinyal EMG Berbasis, Mikrokontroller Arduino. Science And Engineering National Seminar 4 (SENS4). 97-623-91160-4-0.
Laumal, F, E,. (2015). Pengembangan Sensor Getar ADXL335 Sebagai Petunjuk Perawatan Mesin Bubut Horisontal. Seminar Nasional Sains dan Teknologi. 2407-1846
Pancev, I, G, D,. Swamardika, I, B, A,. & Budiastra, I, N,. (2013). Implementasi Penggunaan Sensor Accelerometer
ADXL335 Pada Quadcopter Robot Berbasis Atmega32. Prosiding Conference on Smart-Green Technology in Electrical and Information Systems Bali. 978-602- 7776-72-2.
Pancev, I, G, D,. Swamardika, I, B, A,. & Budiastra, I, N,. (2013). Implementasi Penggunaan Sensor Accelerometer ADXL335 Pada Quadcopter Robot Berbasis Atmega32. Prosiding Conference on Smart-Green Technology in Electrical and Information Systems Bali. 978-602- 7776-72-2.
Parlindungan, R,. Suyanto. Prasetyo, M, N,. (2020). Pengenalan Gesture Tangan Secara Real Time Menggunakan Sensor EMG dan Analisis Amplitudo. Prosiding 4th Seminar Nasional Penelitian & Pengabdian Kepada Masyarakat. 978-602-60766-9-4..
Soedjarwanto, N,. Nama, G, F,. Nugroho, R, A,. (2021). Prototipe Smart door lock Menggunakan Motor Stepper Berbasis IoT (Internet of Things). Jurrnal Rekayasa dan Teknologi Elektro, 15(2).
Rochman, Sagita, and Andy Hermawan. "Design and Construction of Screw Type Micro Hydro Power Plant." BEST: Journal of Applied Electrical, Science, & Technology 4.1 (2022): 21-26.
Talakua, E, L,. Alif, Y,. Utama, K,. Makruf, A,. (2020). Sistem Kendali Mobile Robot Menggunakan Gestur Tangan Berbasis Wireless. Seminar Nasional Ilmu Terapan IV, Universitas Wijaya Kartika.
Tyastuti, H, F,. Aniroh, Y,. Muslimin, D,. Effendy, R, A, K,. (2017). Classification of EMG Signal on Arm Muscle Motion Using Special Fourier Transformation to Control Electric Wheelchair. International Confeence on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA), 978-15386-2729-7
Rochman, Sagita, and M. Nushron Ali Mukhtar. "Classification Of The Quality Of Honey Using The Spectrofotometer And Machine Learning System Based On Single Board Computer." Tibuana 2.01 (2019): 45-49.
Syahrul. (2006). Karakteristik dan Pengontrolan Sevo Motor, Majalah Ilmiah UNIKOM, 8(2)_
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Imam Nawawi, Winarno Fadjar Bastari, Parama Diptya Widayaka

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.











