Human Arm Movement Detection Using Low-Cost Sensors for Controlling Robotic Arm
Keywords:
Human Arm Detection, Robotic Arm, Potentiometer, Flex Sensor,Abstract
This paper presents the development of a wearable device to detect the human arm movement for controlling the robotic arm remotely. The proposed system employs the simple and low-cost sensors consist of seven potentiometers and one flex sensor. A small size Arduino Nano microcontroller is employed as the processing unit to process the analog signal from the sensor into the digital value which is then sent to the robotic arm via the Bluetooth communication. The experimental results show that the system achieves good linearity between the human arm movement and the robotic arm movement. The average linearity error of the whole sensors that represents the deviation of sensor output from the ideal one is 2.20%. Since the sensors are simple and low cost, the error could be acceptable for the real implementation.References
D.N. Tze How, C.W. Keat, A. Anuar, K.S.M. Sahari, “Robotic Arm Control Based on Human Arm Motion,” in The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications. Lecture Notes in Electrical Engineering, vol 291, H. Mat Sakim, M. Mustaffa, Ed. Singapore: Springer, 2014, pp. 81-88.
E. B. Mathew, D. Khanduja, B. Sapra, and B. Bhushan, "Robotic arm control through human arm movement detection using potentiometers," in Proc. 2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE), Noida, 2015, pp. 298-303.
Afridanil, Wildian, “Rancang Bangun Sistem Kendali Robot Tangan Menggunakan Bluetooth Berbasis Mikrokontroler ATmega8535,” Jurnal Fisika Unand, vol. 4, no. 4, pp. 375-382, Oct. 2015.
H.A. Padillah, A Gunawan, and W. Khabzli, “Kontrol Wireless Bionik Robot Jari Tangan Menggunakan Arduino,” Jurnal Teknik Elektro dan Komputer, vol. I, no.2, pp. 115-124, Oct. 2013.
S. Muslimin, Y.Wijanarko, and D. Subagio, “Penerapan Flex-Sensor Pada Lengan Robot Berjari Pengikut Gerak Lengan Manusia Berbasis Mikrokontroler,” Jurnal Technologic, vol.5, no. 2, pp. 7-20, Dec. 2014.
L. Milea, M. Dascalu, E. Franti, S. Cismas, D. Moraru, F. Lazo, and E. Zoltan, “Detection and Tele-replication of Human Hand Motions by a Robotic Hand,“ American Journal of Aerospace Engineering, vol. 2, no. 4, pp. 30-35, Aug. 2015.
B. Fang, D. Guo, F. Sun, H. Liu, and Y. Wu, "A robotic hand-arm teleoperation system using human arm/hand with a novel data glove," in Proc. 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), Zhuhai, 2015, pp. 2483-2488.
Shivani, S. Gaur, P. Khaneja, R.Sharma, S. Kaur, and M. Kaur, “Efficient Approach for Designing Gesture Controlled Robotic Arm,” International Journal of Control and Automation, vol. 8, no. 6, pp. 55- 64, Jun. 2015.
A. S. Al-Ammri and G.A. Taki, “Design of Robotic Arm Control System Mimics Human Arm Motion,” Al-Khwarizmi Engineering Journal, vol. 9, no. 1, pp. 9-18, 2013.
R. P. Amitkumar, P. S. Rohit, S. S. Suraj, and D. S. Aldar, "Hydraulic Robot Arm Controlled by Human Arm," in Proc. 2014 Texas Instruments India Educators' Conference (TIIEC), Bangalore, 2014, pp. 159-164.
I. Prayudi and D. Kim, "Design and implementation of IMU-based human arm motion capture system," in Proc. 2012 IEEE International Conference on Mechatronics and Automation, Chengdu, 2012, pp. 670-675.
T. Taunyazov, B. Omarali, and A. Shintemirov, "A novel low-cost 4- DOF wireless human arm motion tracker," in Proc. 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), Singapore, 2016, pp. 157-162.
A. Syed, Z.T.H. Agasbal, T. Melligeri, B. Gudur, “Flex Sensor Based Robotic Arm Controller Using Micro Controller,” Journal of Software Engineering and Applications, vol. 5, pp. 364-366, 2012.
C. R. Parga Villalpando, X. L. Zhang, and W. Y. Liu, "Estimation of human arm movement with inertial sensors in smartphone," in Proc. 2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), Mexico City, 2013, pp. 318-323.
A. Shaikh, G. Khaladkar, R. Jage, T. Pathak, and J. Taili, “Robotic Arm Movements Wirelessly Synchronized with Human Arm Movements Using Real Time Image Processing,” in Proc. the 2013 Texas Instruments India Educators' Conference (TIIEC '13), Washington, DC, 2013, pp. 277-284.
CrustCrawler Robotics. (2017, Oct.). SG5-UT Robotic Arm Hardware Kit Bundle. [Online]. Available: http://www.crustcrawler.com/products/arm5.php?prod=0/.
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