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Author: search.filters.author.Chandavarkar, B.R.Subject: search.filters.subject.Data aggregation

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    Data Format Heterogeneity in IoT-Based Ambient Assisted Living: A Survey
    (Springer Science and Business Media Deutschland GmbH, 2023) Sandeep, M.; Khatri, S.; Chandavarkar, B.R.
    Ambient Assisted Living (AAL) has become a significant component of the lives of the elderly in the present decade, allowing them to live independently by assisting their daily activities with automation. Different sensors from various manufacturers with proprietary data formats to detect environmental changes and monitor a person’s health metrics. These data formats are the root cause of the data Heterogeneity issue in AAL and, in turn, contribute to data interoperability challenges. In this paper, we have presented a survey on currently available state-of-the-art solutions to address data heterogeneity challenges in AAL and made a comparative study of suggested methods to overcome the data interoperability. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.