TY - JOUR
T1 - A worker posture coding scheme to link automatic and manual coding
AU - Chen, Hainan
AU - Luo, Xiaowei
AU - Zhu, Zhenhua
PY - 2021/5
Y1 - 2021/5
N2 - Real-time and automatic monitoring of worker behaviors and activities have great potential to improve construction job site operation. Traditional behavior monitoring of construction workers relies on human interpretation to determine workers' semantic conditions (e.g., tasks performing, safety status). Although advanced sensing technologies provide more accurate quantitative data on worker behavior, how to effectively link the data to a worker's semantic condition in a form that is understandable for humans remains a challenge. This paper proposed a novel posture coding scheme based on the worker's body part relative position (BPRP) information. The proposed coding scheme compresses the quantitative 3D skeleton data into qualitative posture descriptions but keeps the body part relative space information. Afterward, an indoor motion test is conducted to validate the reliability of the proposed BPBR coding scheme. The test results showed that by employing the BPRP coding scheme, the manual and automatic posture coding could achieve consistent results. Therefore, the manual posture coding results can be transformed into human skeleton figures and then further processed by the quantitative algorithms. Correspondingly, the computer-captured human skeleton data can be easily connected to the manual observation results by interpreting the BPRB codes
AB - Real-time and automatic monitoring of worker behaviors and activities have great potential to improve construction job site operation. Traditional behavior monitoring of construction workers relies on human interpretation to determine workers' semantic conditions (e.g., tasks performing, safety status). Although advanced sensing technologies provide more accurate quantitative data on worker behavior, how to effectively link the data to a worker's semantic condition in a form that is understandable for humans remains a challenge. This paper proposed a novel posture coding scheme based on the worker's body part relative position (BPRP) information. The proposed coding scheme compresses the quantitative 3D skeleton data into qualitative posture descriptions but keeps the body part relative space information. Afterward, an indoor motion test is conducted to validate the reliability of the proposed BPBR coding scheme. The test results showed that by employing the BPRP coding scheme, the manual and automatic posture coding could achieve consistent results. Therefore, the manual posture coding results can be transformed into human skeleton figures and then further processed by the quantitative algorithms. Correspondingly, the computer-captured human skeleton data can be easily connected to the manual observation results by interpreting the BPRB codes
KW - Coding consistency
KW - Human body posture
KW - Manual and automatic body posture coding connection
UR - http://www.scopus.com/inward/record.url?scp=85101294167&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85101294167&origin=recordpage
U2 - 10.1016/j.autcon.2021.103630
DO - 10.1016/j.autcon.2021.103630
M3 - RGC 21 - Publication in refereed journal
SN - 0926-5805
VL - 125
JO - Automation in Construction
JF - Automation in Construction
M1 - 103630
ER -