2018
DOI: 10.1016/j.autcon.2018.10.004
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Wearable insole pressure system for automated detection and classification of awkward working postures in construction workers

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Cited by 104 publications
(84 citation statements)
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“…The trunk, which is the most frequent segment covered by smart wearables for ergonomic purposes, is the human location on which also a robot [ 53 ] or a vibrotactile feedback interface [ 21 ] can be placed. Other portions on which a wearable technology can be put on are foot in the case of insole pressure systems [ 46 , 47 ], hand for a smartwatch [ 54 ], or head during the smart glasses use [ 45 ]. Those devices are ready to be worn by the users.…”
Section: Resultsmentioning
confidence: 99%
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“…The trunk, which is the most frequent segment covered by smart wearables for ergonomic purposes, is the human location on which also a robot [ 53 ] or a vibrotactile feedback interface [ 21 ] can be placed. Other portions on which a wearable technology can be put on are foot in the case of insole pressure systems [ 46 , 47 ], hand for a smartwatch [ 54 ], or head during the smart glasses use [ 45 ]. Those devices are ready to be worn by the users.…”
Section: Resultsmentioning
confidence: 99%
“…Besides sensor systems, two insole pressure systems [ 46 , 47 ] and two body-mounted smartphones [ 60 , 61 ] are developed for producing post-exposure recognition or assessment of postures, activities, or overexertion risks. Some of them (e.g., [ 46 , 60 ]) employ machine learning techniques for such recognition or assessment, such as a supervised machine learning classifier and a support vector machine learning classifier, by using MATLAB ® . MATLAB ® is a programming and numeric computing environment that is utilised by 9 studies out of 24 for analysing and processing data, and implementing machine learning techniques, algorithms, or computations.…”
Section: Resultsmentioning
confidence: 99%
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“…In recent years, there has been a significant increase in studies to explore the application of wearable devices in construction. One of the most studied topics is the application of wearable devices to identify unsafe worker positions [24,25,26,27,28,29,30,31]. The wearable devices monitor the posture and body movement of workers while they are performing various construction activities and unsafe positions are reported back to them.…”
Section: Introductionmentioning
confidence: 99%
“…Accordingly, workers correct their positions and prevent themselves from fatalities or injuries resulting from such postures. For this purpose, researchers have mostly used IMU-based devices [25,32,33], pressure sensors [30], and built-in smartphone sensors [26,27,31]. Other studies have used wearable devices to detect physical fatigue among workers [34,35,36], as well as the psychological status of workers [36,37] in order to prevent accidents due to unsafe worker behaviors.…”
Section: Introductionmentioning
confidence: 99%