OBJECTIVES: Existing methods for practically evaluating musculoskeletal exposures such as posture and repetition in workplace settings have limitations. We aimed to automate the estimation of parameters in the revised United States National Institute for Occupational Safety and Health (NIOSH) lifting equation, a standard manual observational tool used to evaluate back injury risk related to lifting in workplace settings, using depth camera (Microsoft Kinect) and skeleton algorithm technology. METHODS: A large dataset (approximately 22,000 frames, derived from six subjects) of simultaneous lifting and other motions recorded in a laboratory setting using the Kinect (Microsoft Corporation, Redmond, Washington, United States) and a standard optical motion capture system (Qualysis, Qualysis Motion Capture Systems, Qualysis AB, Sweden) was assembled. Error-correction regression models were developed to improve the accuracy of NIOSH lifting equation parameters estimated from the Kinect skeleton. Kinect-Qualysis errors were modelled using gradient boosted regression trees with a Huber loss function. Models were trained on data from all but one subject and tested on the excluded subject. Finally, models were tested on three lifting trials performed by subjects not involved in the generation of the model-building dataset. RESULTS: Error-correction appears to produce estimates for NIOSH lifting equation parameters that are more accurate than those derived from the Microsoft Kinect algorithm alone. Our error-correction models substantially decreased the variance of parameter errors. In general, the Kinect underestimated parameters, and modelling reduced this bias, particularly for more biased estimates. Use of the raw Kinect skeleton model tended to result in falsely high safe recommended weight limits of loads, whereas error-corrected models gave more conservative, protective estimates. CONCLUSIONS: Our results suggest that it may be possible to produce reasonable estimates of posture and temporal elements of tasks such as task frequency in an automated fashion, although these findings should be confirmed in a larger study. Further work is needed to incorporate force assessments and address workplace feasibility challenges. We anticipate that this approach could ultimately be used to perform large-scale musculoskeletal exposure assessment not only for research but also to provide real-time feedback to workers and employers during work method improvement activities and employee training.
Automation* ; Back Injuries ; Back Pain ; Bias (Epidemiology) ; Dataset ; Human Engineering ; Lifting* ; National Institute for Occupational Safety and Health (U.S.) ; Posture ; Skeleton ; Trees ; United States ; Washington

PURPOSE: Korean American women have twice the rate of cervical cancer than white women and demonstrate low rates in participation in cervical cancer screening. This study was to describe the perceptions about cervical cancer and factors related to cervical cancer screening among Korean American women. METHOD: Focus group methods. RESULT: Five themes emerged. First, knowledge about cervical cancer; misconceptions about cervical cancer, its causes, reproductive anatomy and the treatment Second, perceived meanings of having cervical cancer; most of the women felt that cervical cancer represented a loss of femininity and existential value of womanhood. Third, knowledge about cervical cancer screening ; regular medical check-ups were necessary for early detection and prevention of cervical cancer. Forth, experiences and perceived meanings of cervical cancer screening; the participants expressed their feelings; embarrassment, fear, shame and shyness. Fifth, practices of cervical cancer screening; various intervals in participating in cervical cancer screening. But they mentioned several deterrents, language, insurance, time constraint, embarrassment, fear of the screening results, misbelief about susceptibility, lack of health prevention behavior, and lack of information written in Korean. CONCLUSION: Results emphasize the critical need for culturally appropriate health education to encourage participation of Korean American women in cervical cancer screening.
Adult ; Aged ; *Asian Americans/education/ethnology/statistics & numerical data ; Communication Barriers ; Existentialism/psychology ; Fear/psychology ; Female ; Focus Groups ; Gender Identity ; *Health Knowledge, Attitudes, Practice ; Humans ; Korea/ethnology ; *Mass Screening/psychology/utilization ; Middle Aged ; Needs Assessment ; Nursing Methodology Research ; Patient Acceptance of Health Care/*ethnology/statistics & numerical data ; Patient Education as Topic/standards ; Qualitative Research ; Questionnaires ; Shame ; Shyness ; Socioeconomic Factors ; Uterine Cervical Neoplasms/*diagnosis/ethnology ; *Vaginal Smears/psychology/utilization ; Washington/epidemiology