A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Wearable IMU-based real-time motion warning system for construction workers' musculoskeletal disorders prevention
https://orcid.org/0000-0002-1675-2368
AbstractThe prevalent work-related musculoskeletal disorders (WMSDs) around lower back and neck amongst construction workers are precursors of operational injury in the construction industry. As a significant risk factor of WMSDs, time spent in insecure operational postures should be proactively prevented. This study developed a real-time motion warning personal protective equipment (PPE) that enables workers' self-awareness and self-management of ergonomically hazardous operational pattern for the prevention of WMSDs based on wearable Inertial Measurement Units (WIMUs). Data processing and real-time warning algorithms are proposed for automatically risk postures assessment and warning through a connected smartphone application as soon as dangerous operational patterns are detected. The system was tested and validated with robust clinical motion data output and effective alarm ringing in both laboratory and field experiments on a construction site in Hong Kong. The proposed PPE provides an alternative to help construction workers prevent WMSDs without disturbance and distraction in operations.
HighlightsA WIMU-based real-time motion warning equipment for WMSDs preventionThe design of the wearable equipment that enables self-prevention of WMSDsAn algorithm for translating sensor quaternion into clinical motion dataA maximum holding time thresholds algorithm for hazardous holding time detectionExperiment and validation of the proposed equipment
Wearable IMU-based real-time motion warning system for construction workers' musculoskeletal disorders prevention
https://orcid.org/0000-0002-1675-2368
AbstractThe prevalent work-related musculoskeletal disorders (WMSDs) around lower back and neck amongst construction workers are precursors of operational injury in the construction industry. As a significant risk factor of WMSDs, time spent in insecure operational postures should be proactively prevented. This study developed a real-time motion warning personal protective equipment (PPE) that enables workers' self-awareness and self-management of ergonomically hazardous operational pattern for the prevention of WMSDs based on wearable Inertial Measurement Units (WIMUs). Data processing and real-time warning algorithms are proposed for automatically risk postures assessment and warning through a connected smartphone application as soon as dangerous operational patterns are detected. The system was tested and validated with robust clinical motion data output and effective alarm ringing in both laboratory and field experiments on a construction site in Hong Kong. The proposed PPE provides an alternative to help construction workers prevent WMSDs without disturbance and distraction in operations.
HighlightsA WIMU-based real-time motion warning equipment for WMSDs preventionThe design of the wearable equipment that enables self-prevention of WMSDsAn algorithm for translating sensor quaternion into clinical motion dataA maximum holding time thresholds algorithm for hazardous holding time detectionExperiment and validation of the proposed equipment
Wearable IMU-based real-time motion warning system for construction workers' musculoskeletal disorders prevention
https://orcid.org/0000-0002-1675-2368
AbstractThe prevalent work-related musculoskeletal disorders (WMSDs) around lower back and neck amongst construction workers are precursors of operational injury in the construction industry. As a significant risk factor of WMSDs, time spent in insecure operational postures should be proactively prevented. This study developed a real-time motion warning personal protective equipment (PPE) that enables workers' self-awareness and self-management of ergonomically hazardous operational pattern for the prevention of WMSDs based on wearable Inertial Measurement Units (WIMUs). Data processing and real-time warning algorithms are proposed for automatically risk postures assessment and warning through a connected smartphone application as soon as dangerous operational patterns are detected. The system was tested and validated with robust clinical motion data output and effective alarm ringing in both laboratory and field experiments on a construction site in Hong Kong. The proposed PPE provides an alternative to help construction workers prevent WMSDs without disturbance and distraction in operations.
HighlightsA WIMU-based real-time motion warning equipment for WMSDs preventionThe design of the wearable equipment that enables self-prevention of WMSDsAn algorithm for translating sensor quaternion into clinical motion dataA maximum holding time thresholds algorithm for hazardous holding time detectionExperiment and validation of the proposed equipment
Wearable IMU-based real-time motion warning system for construction workers' musculoskeletal disorders prevention
Yan, Xuzhong (author) / Li, Heng (author) / Li, Angus R. (author) / Zhang, Hong (author)
Automation in Construction ; 74 ; 2-11
2016-11-08
10 pages
Article (Journal)
Electronic Resource
English
| British Library Online Contents | 2017