This book reports on an inclusive design project aimed at developing IoT-based wearable devices for special populations. Specifically, it covers the design, the implementation and testing of a smart mHealth system that uses sensory cues to monitor and train the gait and posture of people with Parkinson's disease. It presents a user-centred strategy to better involve the users in defining the most suitable type of sensory cues and their combination, and in the design of the user interface, at the purpose of developing a gait tutoring system that better fits users' needs and requirements. All in all, this book offers extensive information on the state-of-the-art in the design and testing of innovative user-centred mHealth systems. Giving a particular attention to the explanation of the tools and methodological choices, it provides readers with a timely reference guide to understand and deal with complex inclusive design projects.
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