Toward the Evaluation of Handwashing Skills Based on Image Processing

Yamamoto, Kazushi; Miyanaga, Kazuya; Miyahara, Haruka; Yoshii, Miho; Kinoshita, Fumiya; Touyama, Hideaki

doi:10.1109/scis-isis.2018.00141

Cited by 5 publications

(7 citation statements)

References 8 publications

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“…Most studies (50/89, 56%) recruited HCWs from hospitals or clinics [ 29 , 30 , 32 - 40 , 44 , 46 - 57 , 59 , 61 , 66 - 68 , 73 - 75 , 77 - 80 , 82 , 84 , 86 , 87 , 89 - 91 , 95 , 96 , 98 - 100 , 103 , 106 ], and few (2/89, 2%) studies also involved patients from hospitals [ 66 , 94 ]. The remaining studies recruited the general public (7/89, 8%) [ 45 , 60 , 64 , 65 , 109 - 111 ] or students (4/89, 4%) [ 76 , 104 , 114 , 115 ] from communities or educational settings.…”

Section: Resultsmentioning

confidence: 99%

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Electronic Monitoring Systems for Hand Hygiene: Systematic Review of Technology

Wang¹,

Jiang²,

Yang³

et al. 2021

J Med Internet Res

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Background Hand hygiene is one of the most effective ways of preventing health care–associated infections and reducing their transmission. Owing to recent advances in sensing technologies, electronic hand hygiene monitoring systems have been integrated into the daily routines of health care workers to measure their hand hygiene compliance and quality. Objective This review aims to summarize the latest technologies adopted in electronic hand hygiene monitoring systems and discuss the capabilities and limitations of these systems. Methods A systematic search of PubMed, ACM Digital Library, and IEEE Xplore Digital Library was performed following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Studies were initially screened and assessed independently by the 2 authors, and disagreements between them were further summarized and resolved by discussion with the senior author. Results In total, 1035 publications were retrieved by the search queries; of the 1035 papers, 89 (8.60%) fulfilled the eligibility criteria and were retained for review. In summary, 73 studies used electronic monitoring systems to monitor hand hygiene compliance, including application-assisted direct observation (5/73, 7%), camera-assisted observation (10/73, 14%), sensor-assisted observation (29/73, 40%), and real-time locating system (32/73, 44%). A total of 21 studies evaluated hand hygiene quality, consisting of compliance with the World Health Organization 6-step hand hygiene techniques (14/21, 67%) and surface coverage or illumination reduction of fluorescent substances (7/21, 33%). Conclusions Electronic hand hygiene monitoring systems face issues of accuracy, data integration, privacy and confidentiality, usability, associated costs, and infrastructure improvements. Moreover, this review found that standardized measurement tools to evaluate system performance are lacking; thus, future research is needed to establish standardized metrics to measure system performance differences among electronic hand hygiene monitoring systems. Furthermore, with sensing technologies and algorithms continually advancing, more research is needed on their implementation to improve system performance and address other hand hygiene–related issues.

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Section: Resultsmentioning

confidence: 99%

“…For handwash, as fluorescent substances contaminated hands in advance, the handwash quality was measured by the range of cleaned hand areas (dark areas). Approximately 60% (3/5) of studies applied specific threshold values or deep learning algorithms to measure handwash quality [ 114 - 116 ].…”

Section: Resultsmentioning

confidence: 99%

Electronic Monitoring Systems for Hand Hygiene: Systematic Review of Technology

Wang¹,

Jiang²,

Yang³

et al. 2021

J Med Internet Res

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“…Hand hygiene plays a critical role in reducing contamination in our food supply and in reducing disease transmission. Several image- and video-based systems have been developed to assess or assist hand hygiene for healthcare workers [ 5 , 6 , 8 , 9 , 10 , 11 , 12 ] and people with dementia [ 4 , 13 , 14 , 15 ]. In [ 8 , 9 ], image processing reports when hospital staff are present at a hand-washing station.…”

Section: Background and Motivationmentioning

confidence: 99%

“…In [ 8 , 9 ], image processing reports when hospital staff are present at a hand-washing station. To assess the effectiveness of hand-washing after the fact, images of the hands using both visible and ultraviolet light have been processed [ 10 , 11 , 12 ]. Six handwashing poses are classified using multiple SVMs in [ 6 ], by segmenting hands and arms and analyzing their motion.…”

Section: Background and Motivationmentioning

confidence: 99%

Designing a Computer-Vision Application: A Case Study for Hand-Hygiene Assessment in an Open-Room Environment

et al. 2021

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Hand-hygiene is a critical component for safe food handling. In this paper, we apply an iterative engineering process to design a hand-hygiene action detection system to improve food-handling safety. We demonstrate the feasibility of a baseline RGB-only convolutional neural network (CNN) in the restricted case of a single scenario; however, since this baseline system performs poorly across scenarios, we also demonstrate the application of two methods to explore potential reasons for its poor performance. This leads to the development of our hierarchical system that incorporates a variety of modalities (RGB, optical flow, hand masks, and human skeleton joints) for recognizing subsets of hand-hygiene actions. Using hand-washing video recorded from several locations in a commercial kitchen, we demonstrate the effectiveness of our system for detecting hand hygiene actions in untrimmed videos. In addition, we discuss recommendations for designing a computer vision system for a real application.

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“…Most studies (50/89, 56%) recruited HCWs from hospitals or clinics [29,30,32-40,44,46-57,59,61,66-68,73-75,77-80, 82,84,86,87,89-91,95,96,98-100,103,106], and few (2/89, 2%) studies also involved patients from hospitals [66,94]. The remaining studies recruited the general public (7/89, 8%) [45,60,64,65,[109][110][111] or students (4/89, 4%) [76,104,114,115] from communities or educational settings.…”

Section: Inclusion Of Studies and Study Characteristicsmentioning

confidence: 99%

Electronic Monitoring Systems for Hand Hygiene: Systematic Review of Technology (Preprint)

Wang¹,

Jiang²,

Yang³

et al. 2021

Preprint

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BACKGROUND Hand hygiene is one of the most effective ways of preventing health care–associated infections and reducing their transmission. Owing to recent advances in sensing technologies, electronic hand hygiene monitoring systems have been integrated into the daily routines of health care workers to measure their hand hygiene compliance and quality. OBJECTIVE This review aims to summarize the latest technologies adopted in electronic hand hygiene monitoring systems and discuss the capabilities and limitations of these systems. METHODS A systematic search of PubMed, ACM Digital Library, and IEEE Xplore Digital Library was performed following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Studies were initially screened and assessed independently by the 2 authors, and disagreements between them were further summarized and resolved by discussion with the senior author. RESULTS In total, 1035 publications were retrieved by the search queries; of the 1035 papers, 89 (8.60%) fulfilled the eligibility criteria and were retained for review. In summary, 73 studies used electronic monitoring systems to monitor hand hygiene compliance, including application-assisted direct observation (5/73, 7%), camera-assisted observation (10/73, 14%), sensor-assisted observation (29/73, 40%), and real-time locating system (32/73, 44%). A total of 21 studies evaluated hand hygiene quality, consisting of compliance with the World Health Organization 6-step hand hygiene techniques (14/21, 67%) and surface coverage or illumination reduction of fluorescent substances (7/21, 33%). CONCLUSIONS Electronic hand hygiene monitoring systems face issues of accuracy, data integration, privacy and confidentiality, usability, associated costs, and infrastructure improvements. Moreover, this review found that standardized measurement tools to evaluate system performance are lacking; thus, future research is needed to establish standardized metrics to measure system performance differences among electronic hand hygiene monitoring systems. Furthermore, with sensing technologies and algorithms continually advancing, more research is needed on their implementation to improve system performance and address other hand hygiene–related issues.

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Toward the Evaluation of Handwashing Skills Based on Image Processing

Cited by 5 publications

References 8 publications

Electronic Monitoring Systems for Hand Hygiene: Systematic Review of Technology

Electronic Monitoring Systems for Hand Hygiene: Systematic Review of Technology

Designing a Computer-Vision Application: A Case Study for Hand-Hygiene Assessment in an Open-Room Environment

Electronic Monitoring Systems for Hand Hygiene: Systematic Review of Technology (Preprint)

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