An Innovative EPW Design Using Add-on Features to Meet Malaysian Requirements

Book chapter


Alsibai, Mohammed Hayyan, Sharif, M., Yaakub, Salma and Hamran, Nurul Nadia Nor 2018. An Innovative EPW Design Using Add-on Features to Meet Malaysian Requirements. in: Proceedings of the 7th IEEE International Conference on Control Systems, Computing and Engineering (ICCSCE 2017) IEEE. pp. 180-185
AuthorsAlsibai, Mohammed Hayyan, Sharif, M., Yaakub, Salma and Hamran, Nurul Nadia Nor
Abstract

Electric Powered Wheelchair (EPW) is a special Electric Vehicle (EV). It is used by senior citizens, handicapped, disabled, people with mobility impairment or people who have health complaints. Therefore, it is not always safe to use an EPW independently as users are more subject to fatigue, weakness and emergency situations. Due to the special needs of EPW drivers/users, the design of the EPW and its controlling system should fulfill their requirements. This paper proposes a new design for EPW which is suitable for Malaysian community needs. The design takes in consideration the easiness of the independent use, the price reduction and the flexibility in changing the controlling method. A smartphone is used as an add-on controlling option besides to the normal joystick. A health monitoring system which implements Internet of Things (IoT) features is also presented as an add-on device. The EPW system is designed to be extendable and accepts other add-on devices. The system is tested in real modes and it is validated as a real-time system.

Book titleProceedings of the 7th IEEE International Conference on Control Systems, Computing and Engineering (ICCSCE 2017)
Page range180-185
Year2018
PublisherIEEE
Publication dates
Online08 Feb 2018
Publication process dates
Deposited06 Nov 2017
Accepted30 Sep 2017
Accepted30 Sep 2017
Event7th IEEE International Conference on Control Systems, Computing and Engineering (ICCSCE 2017)
ISBN978-1-5386-3897-2
Digital Object Identifier (DOI)https://doi.org/10.1109/ICCSCE.2017.8284401
Web address (URL)https://doi.org/10.1109/ICCSCE.2017.8284401
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Sharif, M., Abbod, Maysam, Amira, Abbes and Zaidi, Habib 2012. Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification. Advances in Fuzzy Systems. 2012 (327861). https://doi.org/10.1155/2012/327861
Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study
Sharif, M., Abbod, Maysam, Sonoda, Luke I. and Sanghera, Bal 2013. Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study. British Journal of Applied Science & Technology. 4 (4), pp. 634-649. https://doi.org/10.9734/bjast/2014/5084
Preparation of 2D sequences of corneal images for 3D model building
Elbita, Abdulhakim, Qahwaji, Rami, Ipson, Stanley, Sharif, M. and Ghanchi, Faruque 2015. Preparation of 2D sequences of corneal images for 3D model building. Computer Methods and Programs in Biomedicine. 114 (2), pp. 194-205. https://doi.org/10.1016/j.cmpb.2014.01.009
Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images
Sharif, M., Qahwaji, R., Ipson, S. and Brahma, A. 2015. Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images. Applied Soft Computing. 36 (Nov.), pp. 269-282. https://doi.org/10.1016/j.asoc.2015.07.019
An efficient intelligent analysis system for confocal corneal endothelium images
Sharif, M., Qahwaji, R., Shahamatnia, E., Alzubaidi, R., Ipson, S. and Brahma, A. 2015. An efficient intelligent analysis system for confocal corneal endothelium images. Computer Methods and Programs in Biomedicine. 122 (3), pp. 421-436. https://doi.org/10.1016/j.cmpb.2015.09.003
In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: A review study
Alzubaidi, Rania, Sharif, M., Qahwaji, Rami, Ipson, Stanley and Brahma, Arun 2015. In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: A review study. British Journal of Ophthalmology. 100 (1), pp. 41-55. https://doi.org/10.1136/bjophthalmol-2015-306934
A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing
Pizzamiglio, S., Naeem, U., ur Réhman, Shafiq, Sharif, M., Abdalla, H. and Turner, D. 2017. A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing. Procedia Computer Science. 113, pp. 89-96. https://doi.org/10.1016/j.procs.2017.08.297