TY - GEN
T1 - An unsupervised learning method for perceived stress level recognition based on office working behavior
AU - Lawanont, Worawat
AU - Inoue, Masahiro
N1 - Publisher Copyright:
© 2018 Institute of Electronics and Information Engineers.
PY - 2018/4/2
Y1 - 2018/4/2
N2 - The health issues in office workers regarding of working environment and working behavior have raised many concerns, both in medical field and technological field. For medical field, the concerns were related to physical injuries and stress due to either bad environment or bad working behaviors. In technological field, the main concern was to find a proper solution to prevent and raise awareness to these issues. In this paper, we discussed the possibility of using unsupervised learning for clustering office working behavior to show the relationship of the working behavior and stress level. We used the data collected from the device which include both behavior data and environment data. The results successfully demonstrated the two clusters that represents the working behavior related to either high or low stress level. The results can be used further to develop a classification model and to raise awareness in office workers.
AB - The health issues in office workers regarding of working environment and working behavior have raised many concerns, both in medical field and technological field. For medical field, the concerns were related to physical injuries and stress due to either bad environment or bad working behaviors. In technological field, the main concern was to find a proper solution to prevent and raise awareness to these issues. In this paper, we discussed the possibility of using unsupervised learning for clustering office working behavior to show the relationship of the working behavior and stress level. We used the data collected from the device which include both behavior data and environment data. The results successfully demonstrated the two clusters that represents the working behavior related to either high or low stress level. The results can be used further to develop a classification model and to raise awareness in office workers.
KW - Monitoring System
KW - Perceived Stress
KW - Unsupervised Learning
KW - Working Behavior
UR - http://www.scopus.com/inward/record.url?scp=85048575118&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048575118&partnerID=8YFLogxK
U2 - 10.23919/ELINFOCOM.2018.8330700
DO - 10.23919/ELINFOCOM.2018.8330700
M3 - Conference contribution
AN - SCOPUS:85048575118
T3 - International Conference on Electronics, Information and Communication, ICEIC 2018
SP - 1
EP - 4
BT - International Conference on Electronics, Information and Communication, ICEIC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International Conference on Electronics, Information and Communication, ICEIC 2018
Y2 - 24 January 2018 through 27 January 2018
ER -