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Title:
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A WEB ARCHITECTURE OF A FRAMEWORK TO EVALUATE SMARTPHONE-BASED FALL DETECTION SYSTEMS |
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Author(s):
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Eduardo Casilari, Pablo Ortuño |
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ISBN:
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978-989-8533-53-1 |
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Editors:
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Mário Macedo |
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Year:
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2016 |
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Edition:
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Single |
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Keywords:
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Fall Detection Systems; smartphone; mHealth; Android; accelerometer |
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Type:
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Short Paper |
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First Page:
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167 |
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Last Page:
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171 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Smartphones have become an interesting alternative to deploy wearable and cost-efficient Fall Detection Systems (FDSs). During last five years, many research works have proposed a variety of algorithms for Smartphone-based FDSs. These systems are typically evaluated by testing the detection decision with a set of predefined movements (emulated falls and Activities of Daily Living or ADLs). However, up to date, there is an almost complete lack of a benchmarking procedure to compare the actual performance of these algorithms in a rigorous way. This paper proposes an architecture that enables investigators to create and share with the research community their own datasets with falls and ADLs. The architecture, which consists of a simple downloadable smartphone application and a database server that can be accessed from a conventional web browser, is aimed at configuring a global framework to assess the effectiveness of FDSs based on commonly accepted evaluation patterns. |
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