Monitoring safety behaviors of scaffolding workers using Gramian angular field convolution neural network based on IMU sensing data

Hong, Sungkook; Yoon, Jihwan; Ham, Youngjib; Lee, Bogyeong; Kim, Hyunsoo

doi:10.1016/j.autcon.2023.104748

Cited by 18 publications

(6 citation statements)

References 31 publications

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“…Additionally, wearable IMUs are used to monitor the safety behaviors of scaffolding workers [188], enhance human location with Wi-Fi sensing [189,190], count exercise repetition [191], and assessment of knee moments [192]. More applications of IMUs can be found in these reviews [193][194][195][196][197][198][199].…”

Section: Imumentioning

confidence: 99%

Recent Advances in Wearable Healthcare Devices: From Material to Application

Luo,

Tan,

Wen

2024

Bioengineering

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In recent years, the proliferation of wearable healthcare devices has marked a revolutionary shift in the personal health monitoring and management paradigm. These devices, ranging from fitness trackers to advanced biosensors, have not only made healthcare more accessible, but have also transformed the way individuals engage with their health data. By continuously monitoring health signs, from physical-based to biochemical-based such as heart rate and blood glucose levels, wearable technology offers insights into human health, enabling a proactive rather than a reactive approach to healthcare. This shift towards personalized health monitoring empowers individuals with the knowledge and tools to make informed decisions about their lifestyle and medical care, potentially leading to the earlier detection of health issues and more tailored treatment plans. This review presents the fabrication methods of flexible wearable healthcare devices and their applications in medical care. The potential challenges and future prospectives are also discussed.

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Section: Imumentioning

confidence: 99%

Recent Advances in Wearable Healthcare Devices: From Material to Application

Luo,

Tan,

Wen

2024

Bioengineering

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“…To minimize the potential omission of target literature, this paper employs a thematic search approach, drawing on strategies from related review retrieval methods [21,33]…”

Section: Database Selection and Paper Retrievalmentioning

confidence: 99%

“…To minimize the potential omission of target literature, this paper employs a thematic search approach, drawing on strategies from related review retrieval methods [21,33] Only journal articles were included to ensure data quality, and the language was confined to English. This search yielded a total of 3035 literature entries, with 1636 from WOS and 1399 from Scopus.…”

Section: Database Selection and Paper Retrievalmentioning

confidence: 99%

“…Promoting safe behaviors among construction workers and mitigating unsafe behaviors is an effective approach to enhancing safety performance in the construction industry. Numerous studies have explored construction workers' safety-related behaviors (CWSRB), examining correlations between unsafe behaviors and accidents [10,11], factors influencing safe and unsafe behaviors [12][13][14][15], mechanisms underlying the formation of safe and unsafe behaviors [16][17][18][19][20], the identification and supervision of unsafe behaviors [21,22], and interventions targeting unsafe behaviors [23,24]. Despite the wealth of research outcomes, existing findings still struggle to adequately elucidate the complex formation and development of safety-related behaviors on site.…”

Section: Introductionmentioning

confidence: 99%

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A Science Mapping Approach-Based Review of Construction Workers’ Safety-Related Behavior

Feng,

Gao,

et al. 2024

Buildings

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Promoting safe behaviors among construction workers and mitigating unsafe behaviors is an effective approach to enhancing safety performance in the construction industry. Although progress has been made, the research themes concerning construction workers’ safety-related behaviors (CWSRB) and the detailed progress of each theme remain unclear due to differences in review perspectives and conceptual scopes. This study utilized CiteSpace software (V6.2R3 version) to conduct an analysis of co-authorship networks, co-word networks, and co-citations on 563 published articles in this field from 2013 to 2023. This study’s outcomes highlight several key insights: (1) journals such as Safety Science play a pivotal role in the domain; (2) institutions such as the City University of Hong Kong and Hong Kong Polytechnic University, along with prolific authors like Li, are major contributors to the field; (3) the focus of research has evolved from early organizational factors towards a more diverse range of topics, with deep learning emerging as a significant current research hotspot; (4) this study has identified high-cited literature and 11 primary clusters within the field. Current research focuses on five areas: safety-related behavior concepts, influencing factors and consequences, formation mechanisms, interventions, and applications of new technologies. Establishing clear classification criteria for unsafe behaviors, comprehensively understanding the formation mechanisms of safety-related behaviors, evaluating the effectiveness of intervention strategies, and exploring the practical applications of new technologies are future research directions. This study provides researchers with a holistic view of the present state of research and potential avenues for future exploration, thereby deepening the knowledge and comprehension of stakeholders within this domain.

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“…Joshua and Varghese [22] showed that IMU data can classify the characteristics of activities. Yoon et al [23,24] attempted to examine the gait stability of ironworkers based on IMU data. These studies validated the feasibility of using IMU sensors to extract the subtle characteristics of workers' activities.…”

Section: Introductionmentioning

confidence: 99%

Inertial Measurement Unit- and Time Series Approach-Based Motion Trajectory Reconstruction of the Safety Rope Fastening Behaviour

Han,

Wang

2024

Buildings

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Monitoring workers’ safety compliance is critical to construction accident prevention. However, most of the previous research focuses on checking the entry of workers wearing safety belts and the monitoring of the fastening action of safety rope screw buckles has not yet been considered. In this paper, a reconstruction method for the safety rope fastening behaviour of workers is proposed based on inertial measurement units (IMU) and a time series approach to monitor safety belt use. The proposed method was applied and evaluated through on-site construction experiments. The experimental results show that the acceleration, angular velocity, and magnetic induction intensity data obtained by the inertial measurement unit exhibit clear behavioural characteristics during safety rope fastening. The trajectory of the safety rope can be reconstructed and monitored through inertial measurement units and a time series approach. The results of this study will contribute to the reconstruction and monitoring of safety rope attachment trajectories for scaffolding workers working at heights in order to prevent falls at construction sites.

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Monitoring safety behaviors of scaffolding workers using Gramian angular field convolution neural network based on IMU sensing data

Cited by 18 publications

References 31 publications

Recent Advances in Wearable Healthcare Devices: From Material to Application

Recent Advances in Wearable Healthcare Devices: From Material to Application

A Science Mapping Approach-Based Review of Construction Workers’ Safety-Related Behavior

Inertial Measurement Unit- and Time Series Approach-Based Motion Trajectory Reconstruction of the Safety Rope Fastening Behaviour

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