Development of the Real-time Lifting Assessment tool based on Computer Vision
Development of the Real-time Lifting Assessment tool based on Computer Vision
批准号:
576741-2022
负责人:
Kim, EunsikE
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31
中文摘要
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英文摘要
NIOSH lifting equation (RNLE) is the most widely used observational tool to assess the risk of low back pain associated with lifting and lowering tasks in the workplace. Although the RNLE is cost effective, it is time consuming to process and analyze the resulting data. Moreover, it is impossible to detect the risk factors of low back pain via a single application of the RNLE due to the fact that today's manual material handling jobs have evolved from single tasks to multiple and varying tasks. Thus, the purpose of the proposed international collaboration is to develop a robust, non-intrusive, straightforward, computer vision based RNLE assessment tool in order to construct a lifting assessment that performs analyses over prolonged periods. We expect that the result of this project will play an increasingly important role in the improvement of living and working conditions in Canada and Korea.
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依托单位:
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项目类别:青年科学基金项目
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负责人:叶宁
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依托单位: