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Computational Intelligence: Theories, Applications and Future Directions - Volume I pp 119–132Cite as

Smartphone-Based Ubiquitous Data Sensing and Analysis for Personalized Preventive Care: A Conceptual Framework

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 798))

Abstract

The burden of chronic diseases is rising and it is increasing the mortality rate, morbidity rate, and healthcare cost. To shift from reactive care to preventive care is inevitable. The concept of eHealth is buzzing around for a considerable time but it is not utilized in preventive care. It inspires us to do a literature survey of some of the recent seminal research papers on ubiquitous data sensing and behavioral interventions to promote personal wellness. As the outcome of this survey, the research challenges and opportunities in this domain are presented. The possible research objective and research questions are framed for further research in this field. Based on the knowledge gained from the survey analysis, a novel personalized behavior feedback-cum-intervention framework using smartphone-based data sensing is presented.

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Author information

Authors and Affiliations

  1. Indian Institute of Technology Kharagpur, Kharagpur, 721302, West Bengal, India

    Saurabh Singh Thakur & Ram Babu Roy

Authors
  1. Saurabh Singh Thakur
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  2. Ram Babu Roy
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Correspondence to Saurabh Singh Thakur .

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Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Nishchal K. Verma

  2. Department of Aerospace Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    A. K. Ghosh

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Thakur, S.S., Roy, R.B. (2019). Smartphone-Based Ubiquitous Data Sensing and Analysis for Personalized Preventive Care: A Conceptual Framework. In: Verma, N., Ghosh, A. (eds) Computational Intelligence: Theories, Applications and Future Directions - Volume I. Advances in Intelligent Systems and Computing, vol 798. Springer, Singapore. https://doi.org/10.1007/978-981-13-1132-1_10

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