Advanced SearchSearch Tips
Trends of Intellectual Property on Musculoskeletal Disorder, Motion Capture Technology and Ergonomics
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Trends of Intellectual Property on Musculoskeletal Disorder, Motion Capture Technology and Ergonomics
Yoon, Sang-Young; Jung, Myung-Chul;
  PDF(new window)
Objective: The aims of this study are to investigate the trends of intellectual property in order to identify the ergonomic approaches on musculoskeletal disorders, harmful factors of musculoskeletal disorders, and to find the potential applicability of motion capture technology. Background: Ergonomic posture assessment tools often showed interrater variance, though the usage is easy and practical in industrial fields. Moreover new technologies such as motion capture showed the potential applicability in posture assessment. So ergonomists and practitioners became interested in the intellectual properties on musculoskeletal disorder and motion capture technology. Method: Intellectual properties were collected with the combination of keywords such as ergonomic, musculoskeletal disorder, and motion capture using the KIPRIS (Korea Intellectual Property Rights Information Service). Collected intellectual properties were classified into ergonomic area and non-ergonomic area, except unexamined intellectual properties. This study investigated the trend of application of intellectual properties and the probability of using motion capture technology. Results: Few intellectual properties with ergonomic approach on musculoskeletal disorders were founded, despite many products for rehabilitation and sports. One hundred twenty five patents in 1105 patents on musculoskeletal disorders and 138 patents in 1908 patents on motion capture technology were classified into the patents that ergonomic approach can be applied. The patents related to ergonomics area are rapidly increasing after 2010, and there are good opportunities for ergonomists to apply the patents. Conclusion: This study found opportunities on novel methodology in detecting the harmful factors of musculoskeletal disorders, and that the motion capture technology is applicable in ergonomic posture assessment. Application: The results of this study can help ergonomists prepare the ergonomic patents, and can show the potential use of motion capture technology in detecting the harmful posture of musculoskeletal disorders.
Musculoskeletal disorder;Motion capture;Intellectual property;
 Cited by
Ahmad, N., Ghazilla, R.A.R. and Khairi, N.M., Reviews on various inertial measurement unit (IMU) sensor applications, International Journal of Signal Processing Systems, 1(2), 256-262, 2013.

American Conference of Governmental Industrial Hygienists (ACGIH$^{(R)}$), Hand Activity Level (HAL). Threshold Limit Values for Chemical Substances and Physical Agents & Biological Exposure Indices, ACGIH, Cincinnati, 112-114, 2002.

Bao, S., Howard, N., Spielholz, P., Silverstein, B. and Polissar, N., Interrater reliability of posture observations, Human Factors, 51(3), 292-309, 2009. crossref(new window)

Burt, S. and Punnett, L., Evaluation of interrater reliability for posture observations in a field study, Applied Ergonomics, 30(2), 121-135, 1999. crossref(new window)

Ehara, Y., Fujimoto, H., Miyazaki, S., Mochimaru, M., Tanaka, S. and Yamamoto, S., Comparison of the performance of 3-D camera systems II, Gait Posture, 5(3), 251-255, 1997. crossref(new window)

Foxlin, E., Inertial head-tracker sensor fusion by a complementary separate-bias Kalman filter, Proceedings of Virtual Reality Annual Intternational Symposium (VRAIS), 185-194, 1996.

Ferguson, S.A., Marras, W.S. Allread, W.G., Knapik, G.G., Vandlen, K.A., Splittstoesser, R.E. and Yang, G., Musculoskeletal disorder risk as a function of vehicle rotation angle during assembly tasks, Applied Ergonomics, 42(5), 699-709, 2011. crossref(new window)

Genaidy, A.M., Al-shedi, A.A. and Karwowski, W., Postural stress analysis in industry, Applied Ergonomics, 25(2), 77-87, 1994. crossref(new window)

Hignett, S. and McAtamney, L., Rapid entire body assessment (REBA), Applied Ergonomics, 31(2), 201-205, 2000. crossref(new window)

Karhu, O., Kansi, P. and Kourinka, I., Correcting working postures in industry: a practical method for analysis, Applied Ergonomics, 8(4), 199-201, 1977. crossref(new window)

KIPRIS Home Page, (retrieved July 20, 2015)

Kim, S. and Nussbaum, M.A., Performance evaluation of a wearable inertial motion capture system for capturing physical exposures during manual material handling tasks, Ergonomics, 56(2), 314-326, 2013. crossref(new window)

KOSHA, KOSHA GUIDE H-9-2012, 2012.

Lowe, B., Accuracy and validity of observational estimates of shoulder and elbow posture, Applied Ergonomics, 35(2), 159-171, 2004. crossref(new window)

McAtamney, L. and Corlett, E.N., RULA: a survey method for the investigation of work-related upper limb disorders, Applied Ergonomics, 24(2), 91-99, 1993. crossref(new window)

Moore, J.S. and Garg, A., The strain index: a proposed method to analyze jobs for risk of distal upper extremity disorders, American Industrial Hygiene Association Journal, Vol. 56(5), 443-458, 1995. crossref(new window)

Sutherland, D., The evolution of clinical gait analysis. Part II: Kinematics, Gait Posture, 16(2), 159-179, 2002. crossref(new window)

Vignais, N., Miezal, M., Bleser, G., Mura, K., Gorecky, D. and Marin, F., Innovative system for real-time ergonomic feedback in industrial manufacturing, Applied Ergonomics, 44(4), 566-574, 2013. crossref(new window)