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Open AccessArticle

Smart Helmet and Insole Sensors for Near Fall Incidence Recognition during Descent of Stairs

1
Department of Computer Science, Soonchunhyang University, Asan 31538, Korea
2
Institute of Wellness Convergence Technology, Soonchunhyang University, Asan 31538, Korea
3
School of Architectural Engineering, Hongik University, Sejong 31538, Korea
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Department of Medical IT Engineering, Soonchunhyang University, Asan 31538, Korea
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(7), 2262; https://doi.org/10.3390/app10072262
Received: 5 February 2020 / Revised: 12 March 2020 / Accepted: 18 March 2020 / Published: 26 March 2020
Stair falls on construction sites are leading causes of fatal injuries, and the dangers for workers are greater because they usually carry heavy loads. Nevertheless, there are very few studies related to stair falls among construction workers. The purpose of this study was to detect near fall incidence during stair descent and analyze the changes in weight bearing and center of pressure. A total of 10 healthy males participated in this study. Three experimental conditions were set up to analyze stair falls: natural descent (E1), weighted descent (E2), and near fall-simulated descent (E3). While walking down the stairs, subjects wore a three-axis accelerometer sensor attached to a Smart Helmet and a pair of textile pressure sensors (insole) placed inside Smart Shoes. The collected data were analyzed for: (1) whole body balance, (2) plantar pressure distribution, (3) head tilt pattern, and (4) conformity between the helmet and insole sensors. The results showed that our proposed smart helmet and smart shoes have relatively good performance in terms of classifying the weight-shifting patterns in the head and the feet during stair descent. The results of this study may be helpful in detecting near falls of workers on construction sites. View Full-Text
Keywords: stairs; fall; construction site; smart helmet; smart shoes stairs; fall; construction site; smart helmet; smart shoes
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MDPI and ACS Style

Wang, C.; Kim, Y.; Kim, D.G.; Lee, S.H.; Min, S.D. Smart Helmet and Insole Sensors for Near Fall Incidence Recognition during Descent of Stairs. Appl. Sci. 2020, 10, 2262.

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