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Smartphone-Based Lifelogging: Toward Realization of Personal Big Data

2021; Springer International Publishing; Linguagem: Inglês

10.1007/978-3-030-75123-4_12

2522-8609

Shaukat Ali, Shah Khusro, Akif Khan, Hayat Khan,

Opportunistic and Delay-Tolerant Networks

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.