Back close

Machine Learning based Hand Orthotic Device

School: School of Engineering

Project Incharge:Dr. R. Rajesh kannan
Machine Learning based Hand Orthotic Device

Robotic systems are rapidly emerging as easy-to-use rehabilitation tools that enhance several of health-related infirmities. Frequently, stroke and spinal cord -injuries are impair normal healthful living by paralysis, albeit the affected patient’s brains may remain functional. Such victims need long-term rehabilitation, by qualified therapists to regain motor and sensory controls, beyond the affordable reach of common citizens. This is where reasonably priced robotic exoskeleton systems come to their rescue. we are using a novel design for hand orthosis, which is a lightweight pliable prototype and is been calibrated to fit any average-sized hand. This device is controlled with a voice recognition module, IOT and Bluetooth. Our device can be used for picking up the objects and give an extra grasp to the patients. Empirical results validate the efficacy, reliability, and robustness of the orthotic device that can be used in the rehabilitation of stroke patients.

Related Projects

Design and development of a scalable laboratory model of a decentralized  Battery Pack Management System
Design and development of a scalable laboratory model of a decentralized  Battery Pack Management System
Error Linear Complexity Measures for Multisequences
Error Linear Complexity Measures for Multisequences
Modelling of Coconut Tree Trunk
Modelling of Coconut Tree Trunk
ANNAPOORNA: Food, Water & Medicine Delivery Teleoperated Robot
ANNAPOORNA: Food, Water & Medicine Delivery Teleoperated Robot
Implementation of Intensive Natural Language Processing & Soft Computing Technology Based Extrinsic Plagiarism Detection Tool
Implementation of Intensive Natural Language Processing & Soft Computing Technology Based Extrinsic Plagiarism Detection Tool
Admissions Apply Now