Vision-Based Assessment of Low Back Load During Manual Material Handling Tasks

Y Asaka, K Kojima - 2023 IEEE 12th Global Conference on …, 2023 - ieeexplore.ieee.org
Y Asaka, K Kojima
2023 IEEE 12th Global Conference on Consumer Electronics (GCCE), 2023ieeexplore.ieee.org
According to the World Health Organization (WHO), the incidence and prevalence of low
back pain are similar worldwide, but statistics based on epidemiologic data collection often
rank low back pain at the top of the list. Low back pain can be classified into chronic and
acute low back pain, and studies have shown that 39% of patients with chronic low back
pain have disc degeneration. The National Institute for Occupational Safety and Health
(NIOSH) has proposed the NIOSH Lifting Equation as one of the simplified indicators of low …
According to the World Health Organization (WHO), the incidence and prevalence of low back pain are similar worldwide, but statistics based on epidemiologic data collection often rank low back pain at the top of the list. Low back pain can be classified into chronic and acute low back pain, and studies have shown that 39% of patients with chronic low back pain have disc degeneration. The National Institute for Occupational Safety and Health (NIOSH) has proposed the NIOSH Lifting Equation as one of the simplified indicators of low back pain risk, which can assess the risk of low back pain in work positions and postures during loading and unloading. The NIOSH Lifting Equation is one of the simple indicators of the risk of low back pain. In this study, the lumbar load during lifting is estimated by image processing using OpenPose in order to prevent the occurrence of low back pain. If the estimation of lumbar load by image processing of workers becomes possible, it is expected to facilitate the detection of the risk of lumbar pain occurrence and to be useful for vocational education of workers and improvement of the work environment.
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