Abstract
A better understanding of the mobile sensors and the need for mobile information management have improved the personal healthcare in recent years. In this study, we present a mobile-healthcare approach for the automatic assessment of sustainable fitness in hands correlated to different diseases. Arm weakness is a common symptom in many of the chronic diseases like arthritis or cardiac arrest. It is also a prominent signature of verifying fitness in many healthy persons too. To detect the amount of weakness in arm, we perform a simple test of lifting hand using a smart phone. With this approach, we can basically quantify the fitness of arm and routinely track whether the condition of the subject sustains or not.
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Acknowledgments
The work of Malay Bhattacharyya is supported by the Visvesvaraya Young Faculty Research Fellowship 2015-16 of DeitY, Government of India. The first two authors contributed equally to this work.
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Singh, A., Tibrewal, R., Bhattacharya, C., Bhattacharyya, M. (2017). Hands Up! To Assess Your Sustained Fitness. In: Basu, A., Das, S., Horain, P., Bhattacharya, S. (eds) Intelligent Human Computer Interaction. IHCI 2016. Lecture Notes in Computer Science(), vol 10127. Springer, Cham. https://doi.org/10.1007/978-3-319-52503-7_15
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DOI: https://doi.org/10.1007/978-3-319-52503-7_15
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