Detecting environmental barriers affecting older adult pedestrians via Gramian angular field-based CNN of smartphone sensor data

IntroductionPromoting safe walking among older adults requires precise identification of environmental barriers that disrupt gait. Traditional adult- and survey-based walkability assessments are labor-intensive and often miss transient hazards, while prior wearable-sensor methods—threshold-based acc...

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Bibliografiske detaljer

Principais autores:	Sungkook Hong, Hyunsoo Kim
Format:	Artigo
Sprog:	Inglês
Udgivet:	Frontiers Media S.A. 2025-11-01
Serier:	Frontiers in Public Health
Fag:	Gramian Angular Field (GAF) convolutional neural network (CNN) older adult gait analysis environmental barriers wearable sensor walkability monitoring
Online adgang:	https://www.frontiersin.org/articles/10.3389/fpubh.2025.1697589/full
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