Abstract
The concept of a smart university requires universities to equip students with suitable software/hardware systems and assistive technologies that will help them to succeed in technological learning environments such as smart classrooms and labs, smart libraries, and smart campuses. Motion recognition systems have a potential to enable students with severe motion/mobility issues to interact more easily with computers, and, thus, promote activities that develop/improve student analytical, technical and communication skills, team working, problem solving through collaboration and social activities. This paper presents the up-to-date outcomes of a research project at the InterLabs Research Institute, Bradley University (Peoria, IL, U.S.A.) aimed at systematic research and analysis of main features of motion recognition systems and their applications in college/university educational settings. We identified universities that provide students with disabilities with motion recognition systems, analyzed main features of various open-source and commercial motion recognition systems. Based on the obtained outcomes of pilot testing of selected systems, we identified and recommended top open-source and commercial motion recognition systems for students with disabilities at smart universities.
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Bakken, J.P., Varidireddy, N., Uskov, V.L. (2019). Smart University: Software/Hardware Systems for College Students with Severe Motion/Mobility Issues. In: Uskov, V., Howlett, R., Jain, L. (eds) Smart Education and e-Learning 2019. Smart Innovation, Systems and Technologies, vol 144. Springer, Singapore. https://doi.org/10.1007/978-981-13-8260-4_42
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DOI: https://doi.org/10.1007/978-981-13-8260-4_42
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