Cloud-Based Interactive Hands free E-Learning Environment for Students with Disabilities
Loay Alzubaidi1, Ghazanfar Latif2, Jaafar M. Alghazo3, Mohammed Zikria4
1Ghazanfar Latif, Department of Computer Science, Prince Mohammad Bin Fahd University, Al-Khobar, KSA.
1Loay Alzubaidi, Department Computer Science, Prince Mohammad Bin Fahd University, Al-Khobar, KSA.
3Jaafar M. Alghazo, Department of Computer Engineering, Prince Mohammad Bin Fahd University, Al-Khobar, KSA.
4Mohammed Zikria, Department of Computer Science, Prince Mohammad Bin Fahd University, Al-Khobar, KSA.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on 30 November, 2019. | PP: 8511-8516 | Volume-8 Issue-4, November 2019. | Retrieval Number: C5785098319/2019©BEIESP | DOI: 10.35940/ijrte.C5785.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this study, cloud based innovative methods are introduced that allow users with motor skills impairments to access the customized learning platforms. The complete methodology relies on the development of existing technology originally developed for the Gaming Industry; Microsoft Xbox Kinect Sensor. A novel learning platform is developed for teaching students with motor skills impairments and other types of disabilities to learn Quran Recitation. The platform is integrated with a modified Kinect that allows users to access the computer software without the use of a traditional keyboard and mouse. The Kinect then acts as the interface between the uses and software. The system is designed based on the two approaches; hand-free operations via head motion and voice recognition to control the selection of items in the learning platform. For voice recognition, a dataset has also been built for training and initial testing for supervised learning. Extensive tests have been performed that proved the success of the system. This novel methodology provides a research platform for those interested in enabling students with motor skill impairments and students with disabilities in general. Keywords:
Keywords: Human Computer Interaction, Students with Disabilities, Assistive Technology, Motor Skill Impairment, Voice Recognition.
Scope of the Article: Human Computer Interactions.