Medical Remotely Caring with Covid-19 Virus infected people using Optimized wireless arm tracing system

Mohammed Azher Therib, Heyam Marzog, Ahmed Fahem Al-Baghdadi

Abstract


A robotic arm is a robot that usually programmable with similar functions to a human arm. Sensors are used to capture the motion of human limbs. It will always copy hand movement. The rapid spread of the Coronavirus (COVID-19) virus and contacting the infections make the number of patients doubled in short time. The system proposed in this research can protect clinicians against infection with virus by reducing the contact with the infected and treat them remotely. This type of system is useful in different other fields of defense and industrial works where delicate and dangerous task can be done from a distance without actually touching. Xbee shield is used to allow a hand glove flex sensors to communicate with the robotic arm wirelessly using Zigbee. It is based on the Xbee module from Max Stream which can communicate up to 100 feet indoors or 300 feet outdoors (with line-of-sight). PID controller used in the proposed system to achieve smooth movement of limbs. The desired signal comes from flex sensor that connected to each limb. Kalman estimator proposed to find current state of each limb. In order to get better performance, particle swarm optimization (PSO) is used.

Keywords


Robotic Arm, COVID-19, Kalman Filter, PID Controller, PSO, Wireless



DOI: http://dx.doi.org/10.12928/telkomnika.v18i5.16331

Article Metrics

Abstract view : 0 times

Refbacks

  • There are currently no refbacks.


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

TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus, 9th Floor, LPPI Room
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120 ext. 4902, Fax: +62 274 564604

View TELKOMNIKA Stats