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Smartphone-Based Lifelogging: Toward Realization of Personal Big Data

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Information and Knowledge in Internet of Things

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

The technological advancements have turned smartphones into powerful lifelogging devices. Smartphone-based lifelogging system captures and stores information about peoples’ daily life activities, behaviors, interactions, and contexts into rich personal big data archives. The personal big data is of potential interest to the information sciences researchers and policy and decision makers in governments and organizations because of the availability of information, which would be impossible otherwise. Despite its potential, the smartphone-based lifelogging has been limitedly been explored from the big data perspective. This paper aims to provide a close-up view of the smartphone-based lifelogging as the source of personal big data. First, the smartphone-based lifelogging is reviewed to demonstrate its technological capabilities for personal big data generation and conformance to big data characteristics, alongside key personal big data applications. Second, a generalized architecture is presented for smartphone-based lifelog personal big data systems using big data systems design principals to advance the research in this space. Third, several challenges are highlighted regarding data capture, storage, analysis, visualization, privacy, and security. To address these concerns, several recommendations are suggested to improve personal big data generation, management, and usability.

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Acknowledgments

This research work is funded and sponsored by the Higher Education Commission (HEC), Pakistan. It is worthy to acknowledge the efforts, guidance, and valuable inputs of Prof. Corina Sas, School of Computing and Communication, Lancaster University, UK throughout this research work.

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Authors and Affiliations

  1. Department of Computer Science, University of Peshawar, Peshawar, KP, Pakistan

    Shaukat Ali, Shah Khusro & Akif Khan

  2. Department of Computer Science, National University of Computer & Emerging Science, Peshawar, KP, Pakistan

    Hayat Khan

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  1. Shaukat Ali
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  2. Shah Khusro
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  3. Akif Khan
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Correspondence to Shaukat Ali .

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  1. Systems and Telecommunication, Santa Elena Provincial State University, Santa Elena, Ecuador

    Teresa Guarda

  2. Khyber Pakhtunkhwa, Centre for Excellence in IT, Institute of Management Sciences, Peshawar, Pakistan

    Sajid Anwar

  3. Universidad Tecnológica Empresarial de Guayaquil, Guayaquil, Ecuador

    Marcelo Leon

  4. Instituto Politécnico de Leiria, Bidoeira de Cima, Portugal

    Filipe Jorge Mota Pinto

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Ali, S., Khusro, S., Khan, A., Khan, H. (2022). Smartphone-Based Lifelogging: Toward Realization of Personal Big Data. In: Guarda, T., Anwar, S., Leon, M., Mota Pinto, F.J. (eds) Information and Knowledge in Internet of Things. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-75123-4_12

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