TY - GEN
T1 - Detecting the hazards of lifting and carrying in construction through a coupled 3D sensing and IMUs sensing system
AU - Chen, J.
AU - Ahn, C. R.
AU - Han, S.
N1 - Publisher Copyright:
© ASCE 2014.
PY - 2014
Y1 - 2014
N2 - Construction companies in Hong Kong suffer huge losses due to labor fatalities and injuries. More than 25% of all of the injuries and fatalities in all industries in Hong Kong are caused by the construction industry. This is different from the U.S., whose top injury cause for fatal injuries is a fall to a lower level (34%) and nonfatal injuries (23%). The most frequent type of injuries in Hong Kong is due to lifting and carrying (19.2%). Recently, automated 3D sensing systems (Kinect) have been employed to identify motion-related hazards to improve construction safety conditions. However, limitations (such as extreme light conditions, occlusions and misrepresentations) of 3D sensing systems hinder its application in engineering practices. To resolve those limitations, this research proposed a coupled system which integrates and synchronizes the Kinect with Inertial Measurement Unit (IMUs). With the help of the coupled system, IMUs could uninterruptedly collect motion data (accelerations and angular rates), even under extreme light conditions or under occlusions, while Kinect could provide a reference system for IMUs to construct postures. The whole sensor network will be able to capture complete and reliable data even if Kinect fails to work properly. Moreover, the proposed coupled system will also promote other human related research, such as productivity and labor tracking.
AB - Construction companies in Hong Kong suffer huge losses due to labor fatalities and injuries. More than 25% of all of the injuries and fatalities in all industries in Hong Kong are caused by the construction industry. This is different from the U.S., whose top injury cause for fatal injuries is a fall to a lower level (34%) and nonfatal injuries (23%). The most frequent type of injuries in Hong Kong is due to lifting and carrying (19.2%). Recently, automated 3D sensing systems (Kinect) have been employed to identify motion-related hazards to improve construction safety conditions. However, limitations (such as extreme light conditions, occlusions and misrepresentations) of 3D sensing systems hinder its application in engineering practices. To resolve those limitations, this research proposed a coupled system which integrates and synchronizes the Kinect with Inertial Measurement Unit (IMUs). With the help of the coupled system, IMUs could uninterruptedly collect motion data (accelerations and angular rates), even under extreme light conditions or under occlusions, while Kinect could provide a reference system for IMUs to construct postures. The whole sensor network will be able to capture complete and reliable data even if Kinect fails to work properly. Moreover, the proposed coupled system will also promote other human related research, such as productivity and labor tracking.
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U2 - 10.1061/9780784413616.138
DO - 10.1061/9780784413616.138
M3 - Conference contribution
AN - SCOPUS:84934293542
T3 - Computing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering
SP - 1110
EP - 1117
BT - Computing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering
A2 - Issa, R. Raymond
A2 - Flood, Ian
PB - American Society of Civil Engineers (ASCE)
T2 - 2014 International Conference on Computing in Civil and Building Engineering
Y2 - 23 June 2014 through 25 June 2014
ER -