High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Test Event Generation for an Automated Orthosis and Fall Detection System using IoT

Author(s):

P. Jeyaprakash , Vivekanandha College of Technology for Women; M. Dhivya, Vivekanandha College of Technology for Women; V. Jamuna, Vivekanandha College of Technology for Women; G. Parkavi, Vivekanandha College of Technology for Women; R. Preethi, Vivekanandha College of Technology for Women

Keywords:

FES, Orthosis, Fall Detection, IoT

Abstract

Recovery robots have gotten one of the common techniques for right hand treatment of engine issue patients in the field of clinical restoration. Conventional restoration robots are generally made of inflexible a material, which fundamentally constrains their application for clinical recovery. Delicate robots show extraordinary potential in the field of recovery robots in view of their innate consistence and wellbeing when they interface with people. Ligament driven hand orthosis have focal points over exoskeletons regarding wear capacity and wellbeing due to their position of safety structure and capacity to fit a scope of patients without requiring custom joint arrangement. In this paper, Soft restoration robots dependent on ligament driven activation are normally determined by links, for example, Bowden link. Links in mechanical structures are utilized to reproduce ligaments of human, guides patients to perform restoration practices by recreating the biomechanical properties of tendons and ligaments. Texture tapes, Teflon tubes and adaptable links were utilized in the Soft recovery robots rather than mechanical pulley utilized in the customary ligament steering framework to control fingers. With this test occasions are created to screen the time length of recovery process started by patients and furthermore alarms if there should be an occurrence of any inadvertent falls utilizing IoT (Internet of Things). Framework likewise gives power over electrical gadgets, for example, light and fan.

Other Details

Paper ID: IJSRDV8I30549
Published in: Volume : 8, Issue : 3
Publication Date: 01/06/2020
Page(s): 672-675

Article Preview

Download Article