Application of Gesture Data Recognition in a Human-Interactive Leap Motion Sensor Chair

Gestural interface has been the subject of research for more than 40 years. The implementation of a novel intuitive and adaptive manipulation scheme is proposed by developing a human-machine communication interface between the Leap Motion controller and the wheel chair. In addition, an algorithm is...

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Main Authors: Rasheed, K., Saad, S., Shahzad, L., Ammad, S., Ali, A., Badshah, I.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.29170 /
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124660406&doi=10.1109%2fICDABI53623.2021.9655819&partnerID=40&md5=9f41467ce9c18a6c622871e4ce5e9265
http://eprints.utp.edu.my/29170/
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id utp-eprints.29170
recordtype eprints
spelling utp-eprints.291702022-03-25T01:04:11Z Application of Gesture Data Recognition in a Human-Interactive Leap Motion Sensor Chair Rasheed, K. Saad, S. Shahzad, L. Ammad, S. Ali, A. Badshah, I. Gestural interface has been the subject of research for more than 40 years. The implementation of a novel intuitive and adaptive manipulation scheme is proposed by developing a human-machine communication interface between the Leap Motion controller and the wheel chair. In addition, an algorithm is developed to allow an optimum mapping between the user hand movement, tracked by the Leap Motion controller, and the wheel chair. The system should allow for a more natural human-computer interaction and a smooth manipulation of the wheel chair, by constantly adapting to the user hand tremor or shake. The sensor detects motions and moves the wheelchair accordingly. It will track the movement of the fingers and hands in order to identify the gesture, and then the motors will perform the required action using Arduino. The implementation would specially enhance the quality of living, especially for people with lower limb problems, and would support them in performing some of the essential Activities of Daily Living 'ADLs'. © 2021 IEEE. Institute of Electrical and Electronics Engineers Inc. 2021 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124660406&doi=10.1109%2fICDABI53623.2021.9655819&partnerID=40&md5=9f41467ce9c18a6c622871e4ce5e9265 Rasheed, K. and Saad, S. and Shahzad, L. and Ammad, S. and Ali, A. and Badshah, I. (2021) Application of Gesture Data Recognition in a Human-Interactive Leap Motion Sensor Chair. In: UNSPECIFIED. http://eprints.utp.edu.my/29170/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Gestural interface has been the subject of research for more than 40 years. The implementation of a novel intuitive and adaptive manipulation scheme is proposed by developing a human-machine communication interface between the Leap Motion controller and the wheel chair. In addition, an algorithm is developed to allow an optimum mapping between the user hand movement, tracked by the Leap Motion controller, and the wheel chair. The system should allow for a more natural human-computer interaction and a smooth manipulation of the wheel chair, by constantly adapting to the user hand tremor or shake. The sensor detects motions and moves the wheelchair accordingly. It will track the movement of the fingers and hands in order to identify the gesture, and then the motors will perform the required action using Arduino. The implementation would specially enhance the quality of living, especially for people with lower limb problems, and would support them in performing some of the essential Activities of Daily Living 'ADLs'. © 2021 IEEE.
format Conference or Workshop Item
author Rasheed, K.
Saad, S.
Shahzad, L.
Ammad, S.
Ali, A.
Badshah, I.
spellingShingle Rasheed, K.
Saad, S.
Shahzad, L.
Ammad, S.
Ali, A.
Badshah, I.
Application of Gesture Data Recognition in a Human-Interactive Leap Motion Sensor Chair
author_sort Rasheed, K.
title Application of Gesture Data Recognition in a Human-Interactive Leap Motion Sensor Chair
title_short Application of Gesture Data Recognition in a Human-Interactive Leap Motion Sensor Chair
title_full Application of Gesture Data Recognition in a Human-Interactive Leap Motion Sensor Chair
title_fullStr Application of Gesture Data Recognition in a Human-Interactive Leap Motion Sensor Chair
title_full_unstemmed Application of Gesture Data Recognition in a Human-Interactive Leap Motion Sensor Chair
title_sort application of gesture data recognition in a human-interactive leap motion sensor chair
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124660406&doi=10.1109%2fICDABI53623.2021.9655819&partnerID=40&md5=9f41467ce9c18a6c622871e4ce5e9265
http://eprints.utp.edu.my/29170/
_version_ 1741197199562244096
score 11.62408

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