TY - GEN
T1 - Robot-Assisted remote rehabilitation
AU - Bouteraa, Yassine
AU - Abdallah, Ismail Ben
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Rehabilitation is the therapy that used to help people with disorders to restore or improve the functions of lost or diminished parts. Robots are popularly used in rehabilitation since the early sixties of the last century. The medical therapy for extremities can be divided into two main categories: upper and lower limb rehabilitation devices. The major difference between these two categories is in the magnitude of the applied force. The main purpose of incorporating robots in the rehabilitation process is compensating lost functions in physically disabled individuals. This article proposes a robotic system entirely dedicated to remote elbow rehabilitation. The idea is to provide a rehabilitation system controlled by a remote physiotherapist. The solution combines the technique of gesture control and the concept of the Internet of Things to offer gestural control via the Internet of a rehabilitation robot. The electromechanical system designed is lightweight and portable, making it a suitable solution for home use. Labview-based software is developed to provide a user-friendly interface that allows the physiotherapist to control the device from a distance. The Kinect camera-based system detects the physiotherapist's action and transmits it to the software for processing and sending to the robot. JKI HTTP REST Client has been used to develop a web client interacting with servers. The HTTP client library is used to ensure the connection of LabVIEW-based applications with RESTful web services. The proposed method is verified and validated experimentally. The obtained experimental results show the effectiveness of the developed remote rehabilitation system.
AB - Rehabilitation is the therapy that used to help people with disorders to restore or improve the functions of lost or diminished parts. Robots are popularly used in rehabilitation since the early sixties of the last century. The medical therapy for extremities can be divided into two main categories: upper and lower limb rehabilitation devices. The major difference between these two categories is in the magnitude of the applied force. The main purpose of incorporating robots in the rehabilitation process is compensating lost functions in physically disabled individuals. This article proposes a robotic system entirely dedicated to remote elbow rehabilitation. The idea is to provide a rehabilitation system controlled by a remote physiotherapist. The solution combines the technique of gesture control and the concept of the Internet of Things to offer gestural control via the Internet of a rehabilitation robot. The electromechanical system designed is lightweight and portable, making it a suitable solution for home use. Labview-based software is developed to provide a user-friendly interface that allows the physiotherapist to control the device from a distance. The Kinect camera-based system detects the physiotherapist's action and transmits it to the software for processing and sending to the robot. JKI HTTP REST Client has been used to develop a web client interacting with servers. The HTTP client library is used to ensure the connection of LabVIEW-based applications with RESTful web services. The proposed method is verified and validated experimentally. The obtained experimental results show the effectiveness of the developed remote rehabilitation system.
KW - IOT application
KW - kinect-based gesture control
KW - rehabilitation robotics
UR - http://www.scopus.com/inward/record.url?scp=85089563570&partnerID=8YFLogxK
U2 - 10.1109/SCC47175.2019.9116099
DO - 10.1109/SCC47175.2019.9116099
M3 - Conference contribution
AN - SCOPUS:85089563570
T3 - 2019 International Conference on Signal, Control and Communication, SCC 2019
SP - 337
EP - 343
BT - 2019 International Conference on Signal, Control and Communication, SCC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Signal, Control and Communication, SCC 2019
Y2 - 16 December 2019 through 18 December 2019
ER -