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A Management System for Electric Wheelchair Considering Agile-Kanban Using IoT Sensors and Scikit-Learn

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 47))

Abstract

High quality electric wheelchairs can support handicapped persons to move freely in home, work, or hospital settings. However, the electric wheelchairs require a high standard of maintenance for safety. For this reason, we propose a wheelchair management system that can manage electric wheelchairs using Agile-Kanban. Agile is a technique to develop software and manage work efficiency. Kanban is a method to support Agile development. In this work, we design and implement a Wheelchair management system considering Agile-Kanban using IoT sensors and Scikit-learn. Our proposed system can manage the electric wheelchairs efficiently. We present the design and implementation of the proposed system and show that it can measure a wheelchair’s states and activities. In addition, we investigate the timing of changing batteries for the electric wheelchair with Scikit-learn.

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Correspondence to Keita Matsuo .

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Kurita, T., Matsuo, K., Barolli, L. (2020). A Management System for Electric Wheelchair Considering Agile-Kanban Using IoT Sensors and Scikit-Learn. In: Barolli, L., Okada, Y., Amato, F. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-030-39746-3_55

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