Abstract
Human postural analysis is paramount to ergonomic assessment of human-workplace systems. Traditionally, motion tracking systems are being used to assess human joint kinematics in laboratory environment. Motion tracking systems with marker technology make the measurements cumbersome and limit the area of scope to constrained environments. In the present work, cheap, marker less, calibration-free, portable system using Microsoft Kinect sensor was scrutinized for its viability on human body kinematic analysis. Kinect V2 (more accurate and technologically better than Kinect V1) sensor was used to examine the body postural data of 15 participants doing a sitting job. Most of the studies are being done by placing Kinect sensor in front of the body due to occlusions. Efforts were made to assess the human body posture using side view data by placing the Kinect sensor parallel to sagittal plane of human body. Parameters like joint angles were recorded and were analyzed ergonomically for all the participants. The result of the study suggests the possible use of infrared cameras like Kinect to have some insight on human upper body ergonomic assessment in workplace environment. Relevance to Industry: The results obtained from the study can help the ergonomists and concerned technicians to set up better ergonomic assessment tools for workplace. The possible stakeholders of the current study are people working in offices, IT companies, call centres, accounting and analytical tasks, clerical works and all kind of sitting jobs.
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Evans, R.E., Fawole, H.O., Sheriff, S.A., Dall, P.M., Grant, P.M., Ryan, C.G.: Point-of-choice prompts to reduce sitting time at work: a randomized trial. Am. J. Prev. Med. 43, 293–297 (2012)
Thorp, A.A., Healy, G.N., Winkler, E., Clark, B.K., Gardiner, P.A., Owen, N., Dunstan, D.W.: Prolonged sedentary time and physical activity in workplace and non-work contexts: a cross-sectional study of office, customer service and call centre employees. Int J Behav Nutr Phy. 9, 128 (2012)
Waersted, M., Hanvoold, T.N., Veierdted, K.B.: Computer work and musculoskeletal disorders of the neck and upper extremity: a systematic review. Bmc Musculoskelet. Disord. 11(1), 79 (2010)
Collins, J.D., O’Sullivan, L.W.: Musculoskeletal disorder prevalence and psychosocial risk exposures by age and gender in a cohort of office based employees in two academic instituitions. Int. J. Ind. Ergon. 46, 85–97 (2015)
Winkel, J., Jorgensen, K.: Evaluation of foot swelling and lower-limb temperatures in relation to leg activity during long-term seated office work. Ergonomics 29, 313–328 (1986)
Naqvi, S.A.: Study of forward sloping seats for VDT workstations. J. Hum. Ergol. 23, 41–49 (1994)
Viera, E.R., Kumar, S.: Working postures: a literature review. J. Occup. Rehabil. 14(2), 143–159 (2004)
David, G.C.: Ergonomic methods for assessing exposure to risk factors for work-related musculoskeletal disorders. Occup. Med. 55(3), 190–199 (2005)
Li, G., Buckle, P.: Current techniques for assessing physical exposure to work-related musculoskeletal risks, with emphasis on posture-based methods. Ergonomics 42(5), 674–694 (1999)
Burdorf, A., Laan, J.: Comparison of methods for the assessment of postural load on the back. Scand. J. Work Environ. Health 17, 425–429 (1991)
Wiktorin, C., Karlqvist, L., Winkel, J.: Validity of self-reported exposures to work postures and manual material handling. Scand. J. Work Environ. Health. 19, 208–214 (1993)
Mc Atamney, L., Corlett, E.N.: RULA: a survey methods for the investigation of work-related upper limn disorders. Appl. Ergon. 24(2), 91–99 (1993)
Fagarasanu, M., Kumar, S.: Measurement instruments and data collection: a consideration of conducts and biases in ergonomics research. Int. J. Ind. Ergon. 30, 355–369 (2002)
Burdorf, A., Derksen, J., Naaktgeboren, B., VanRiel, M.: Measurement of trunk bending during work by direct observation and continuous measurement. Appl. Ergon. 23(4), 263–267 (1992)
Bruno, J.L., Li, Z., Trudeau, M., Raina, S.M., Dennerlein, J.T.: A single video camera postural assessment system to measure rotation of the shoulder during computer use. J. Appl. Biomech. 28, 343–348 (2012)
Manghisi, V.M., et al.: Real time RULA assessment using kinect v2 sensor. Appl. Ergon. 65, 481–491 (2017)
Lun, R., Zhao, W. (2015). A survey of applications and human motion recognition with microsoft kinect. Electr. Eng. Comput. Sci. Fac. Publ. 408
Wei, T., Lee, B., Qiao, Y., Kitsikidis, A., Dimitropoulos, K., Grammalidis, N.: Experimental study of skeleton tracking abilities from microsoft kinect non-frontal views. 2015 3DTV-conference: the true vision—capture, transmission and display of 3D Video (3DTV-CON). Lisbon 2015, 1–4 (2015)
Choppin, S., Lane, B., Wheat, J.: The accuracy of the microsoft kinect in joint angle measurement. Sports Technol. 7(1–2), 98–105 (2014)
Moya, S. et al.: Mapping joint ROM on a cube using electromagnetic trackers. In: First International Symposium on Digital Human Modeling. (2011)
Pfister, A., West, A.M., Bronner, S., Noah, J.A.: Comparative abilities of microsoft kinect and vicon 3D motion capture for gait analysis. J. Med. Eng. Technol. 38, 274–280 (2014)
Dutta, T.: Evaluation of the kinect sensor for 3-D kinematic measurement in the workplace. Appl. Ergon. 43, 645–649 (2012)
Van Wyk, P.M., Weir, P.L., Andrews, D.M., Fiedler, K.M., Callaghan, J.P.: Determining the optimal size for posture categories used in video-based posture assessment methods. Ergonomics 52, 921–930 (2009)
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Bhatia, V., Kalra, P., Randhawa, J.S. (2019). Upper Body Postural Analysis in Sitting Workplace Environment Using Microsoft Kinect V2 Sensor. In: Chakrabarti, A. (eds) Research into Design for a Connected World. Smart Innovation, Systems and Technologies, vol 135. Springer, Singapore. https://doi.org/10.1007/978-981-13-5977-4_49
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DOI: https://doi.org/10.1007/978-981-13-5977-4_49
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