AI and IoT-Enabled Smart Exoskeleton System for Rehabilitation of Paralyzed People in Connected Communities
In recent years, the number of cases of spinal cord injuries, stroke and other nervous impairments have led to an increase in the number of paralyzed patients worldwide. Rehabilitation that can aid and enhance the lives of such patients is the need of the hour. Exoskeletons have been found as one of...
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doaj-881105cc062c4b909681d6dc75ce4fc32021-06-07T23:00:39ZengIEEEIEEE Access2169-35362021-01-019803408035010.1109/ACCESS.2021.30830939439449AI and IoT-Enabled Smart Exoskeleton System for Rehabilitation of Paralyzed People in Connected CommunitiesSunil Jacob0https://orcid.org/0000-0003-0911-7793Mukil Alagirisamy1https://orcid.org/0000-0003-1623-1914Chen Xi2Venki Balasubramanian3https://orcid.org/0000-0001-6686-4424Ram Srinivasan4https://orcid.org/0000-0002-1431-5834Parvathi R.5N. Z. Jhanjhi6Sardar M. N. Islam7https://orcid.org/0000-0001-9451-7390Department of Electronics and Communication Engineering, Lincoln University College, Petaling Jaya, MalaysiaDepartment of Electronics and Communication Engineering, Lincoln University College, Petaling Jaya, MalaysiaSchool of Business, Nanjing University, Jiangsu, ChinaSchool of Science, Engineering and Information Technology, Federation University, Mount Helen, VIC, AustraliaSchool of Electrical Engineering and Technology, Central Queensland University, Norman Gardens, QLD, AustraliaDepartment of Electronics and Communication Engineering, SCMS School of Engineering and Technology, Kochi, IndiaSchool of Computer Science and Engineering (SCE), Taylor’s University, Subang Jaya, MalaysiaApplied Informatics Research, Victoria University, Melbourne, VIC, AustraliaIn recent years, the number of cases of spinal cord injuries, stroke and other nervous impairments have led to an increase in the number of paralyzed patients worldwide. Rehabilitation that can aid and enhance the lives of such patients is the need of the hour. Exoskeletons have been found as one of the popular means of rehabilitation. The existing exoskeletons use techniques that impose limitations on adaptability, instant response and continuous control. Also most of them are expensive, bulky, and requires high level of training. To overcome all the above limitations, this paper introduces an Artificial Intelligence (AI) powered Smart and light weight Exoskeleton System (AI-IoT-SES) which receives data from various sensors, classifies them intelligently and generates the desired commands via Internet of Things (IoT) for rendering rehabilitation and support with the help of caretakers for paralyzed patients in smart and connected communities. In the proposed system, the signals collected from the exoskeleton sensors are processed using AI-assisted navigation module, and helps the caretakers in guiding, communicating and controlling the movements of the exoskeleton integrated to the patients. The navigation module uses AI and IoT enabled Simultaneous Localization and Mapping (SLAM). The casualties of a paralyzed person are reduced by commissioning the IoT platform to exchange data from the intelligent sensors with the remote location of the caretaker to monitor the real time movement and navigation of the exoskeleton. The automated exoskeleton detects and take decisions on navigation thereby improving the life conditions of such patients. The experimental results simulated using MATLAB shows that the proposed system is the ideal method for rendering rehabilitation and support for paralyzed patients in smart communities.https://ieeexplore.ieee.org/document/9439449/Assistive technologyartificial intelligencedeep learningexoskeletonInternet of Thingssmart connected community |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sunil Jacob Mukil Alagirisamy Chen Xi Venki Balasubramanian Ram Srinivasan Parvathi R. N. Z. Jhanjhi Sardar M. N. Islam |
spellingShingle |
Sunil Jacob Mukil Alagirisamy Chen Xi Venki Balasubramanian Ram Srinivasan Parvathi R. N. Z. Jhanjhi Sardar M. N. Islam AI and IoT-Enabled Smart Exoskeleton System for Rehabilitation of Paralyzed People in Connected Communities IEEE Access Assistive technology artificial intelligence deep learning exoskeleton Internet of Things smart connected community |
author_facet |
Sunil Jacob Mukil Alagirisamy Chen Xi Venki Balasubramanian Ram Srinivasan Parvathi R. N. Z. Jhanjhi Sardar M. N. Islam |
author_sort |
Sunil Jacob |
title |
AI and IoT-Enabled Smart Exoskeleton System for Rehabilitation of Paralyzed People in Connected Communities |
title_short |
AI and IoT-Enabled Smart Exoskeleton System for Rehabilitation of Paralyzed People in Connected Communities |
title_full |
AI and IoT-Enabled Smart Exoskeleton System for Rehabilitation of Paralyzed People in Connected Communities |
title_fullStr |
AI and IoT-Enabled Smart Exoskeleton System for Rehabilitation of Paralyzed People in Connected Communities |
title_full_unstemmed |
AI and IoT-Enabled Smart Exoskeleton System for Rehabilitation of Paralyzed People in Connected Communities |
title_sort |
ai and iot-enabled smart exoskeleton system for rehabilitation of paralyzed people in connected communities |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2021-01-01 |
description |
In recent years, the number of cases of spinal cord injuries, stroke and other nervous impairments have led to an increase in the number of paralyzed patients worldwide. Rehabilitation that can aid and enhance the lives of such patients is the need of the hour. Exoskeletons have been found as one of the popular means of rehabilitation. The existing exoskeletons use techniques that impose limitations on adaptability, instant response and continuous control. Also most of them are expensive, bulky, and requires high level of training. To overcome all the above limitations, this paper introduces an Artificial Intelligence (AI) powered Smart and light weight Exoskeleton System (AI-IoT-SES) which receives data from various sensors, classifies them intelligently and generates the desired commands via Internet of Things (IoT) for rendering rehabilitation and support with the help of caretakers for paralyzed patients in smart and connected communities. In the proposed system, the signals collected from the exoskeleton sensors are processed using AI-assisted navigation module, and helps the caretakers in guiding, communicating and controlling the movements of the exoskeleton integrated to the patients. The navigation module uses AI and IoT enabled Simultaneous Localization and Mapping (SLAM). The casualties of a paralyzed person are reduced by commissioning the IoT platform to exchange data from the intelligent sensors with the remote location of the caretaker to monitor the real time movement and navigation of the exoskeleton. The automated exoskeleton detects and take decisions on navigation thereby improving the life conditions of such patients. The experimental results simulated using MATLAB shows that the proposed system is the ideal method for rendering rehabilitation and support for paralyzed patients in smart communities. |
topic |
Assistive technology artificial intelligence deep learning exoskeleton Internet of Things smart connected community |
url |
https://ieeexplore.ieee.org/document/9439449/ |
work_keys_str_mv |
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