A GSM based Resource Allocation technique to control Autonomous Robotic Glove for Spinal Cord Implant paralysed Patients using Flex Sensors

  • Muhammad Yousaf Ali Khan Gomal University

Abstract

The autonomous robotic glove is designed for paralysed patients, so they would be able to control several electrical appliances around them as well as send an alert message to a particular person. Developing countries are trying to abate the problems of these patients as they depend on others to control nearby appliances both in home and in hospital. In this research we proposed a solution by development & implementation of robotic glove. The research implementation consists of two parts. First part is transmitter and second part is receiver. Transmitter part mainly consists of flex sensors, Arduino uno and HC-11. Flex sensors are used to convert finger movements into different voltage levels, while Arduino is used to read this information from flex sensors and convey it to arduino mega on receiving end as programed by predefined gestures. HC-11 is a serial wireless communication transceiver module which is used to transmit information from Arduino uno to arduino mega on receiving side. Receiver side consist of HC-11, arduino mega, Global system for mobile communication (GSM) module, Optocoupler and Triac. Arduino-Mega is used to read the received information and perform action accordingly. On this side we have different electrical appliances which are controlled by hand gestures of patients as well as GSM module which is used to send different messages to associated person. Opto-coupler is used to isolate low power receiving circuit from high power load circuit. Triac is used for switching of AC supply. It is portable, requires low operating power on a single lithium-ion rechargeable battery and having less weight thus user friendly and affordable.

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Published
2020-12-31
How to Cite
KHAN, Muhammad Yousaf Ali. A GSM based Resource Allocation technique to control Autonomous Robotic Glove for Spinal Cord Implant paralysed Patients using Flex Sensors. Sukkur IBA Journal of Emerging Technologies, [S.l.], v. 3, n. 2, p. 13-23, dec. 2020. ISSN 2617-3115. Available at: <http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjet/article/view/576>. Date accessed: 19 apr. 2021. doi: https://doi.org/10.30537/sjet.v3i2.576.