Study on quality evaluation of human motion dataset in manufacturing scenario
This study presents a comprehensive framework for evaluating the quality of human manipulation datasets in contributing to efficient human-robot collaboration (HRC) in manufacturing settings. Recognizing the importance of safety and efficiency, we want to achieve the development of robotic systems c...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/177211 |
| _version_ | 1826128818294751232 |
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| author | Nabeel Muhammad Bin Abu Bakar |
| author2 | Su Rong |
| author_facet | Su Rong Nabeel Muhammad Bin Abu Bakar |
| author_sort | Nabeel Muhammad Bin Abu Bakar |
| collection | NTU |
| description | This study presents a comprehensive framework for evaluating the quality of human manipulation datasets in contributing to efficient human-robot collaboration (HRC) in manufacturing settings. Recognizing the importance of safety and efficiency, we want to achieve the development of robotic systems capable of planning safe trajectories in anticipation of human actions. We assert that the quality of human motion prediction is contingent upon the quality of the underlying datasets, and thus our work proposes methodologies for appraising human manipulation video datasets based on their adequacy for human landmark extraction, which ultimately impacts their transferability to subsequent analytical models. We examine several intricate assembly operations, then extract relevant human skeletal data and implement a spatiotemporal analysis for effective sample validation and scenario categorization. From this, we extract out the duration taken to complete assembly tasks in an attempt to predict the next task completion duration, allowing for better HRC. |
| first_indexed | 2024-10-01T07:31:03Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/177211 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:31:03Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1772112024-05-31T15:44:39Z Study on quality evaluation of human motion dataset in manufacturing scenario Nabeel Muhammad Bin Abu Bakar Su Rong School of Electrical and Electronic Engineering Schaeffler Hub for Advanced REsearch (SHARE) Lab RSu@ntu.edu.sg Engineering Dataset quality evaluation Human manipulation This study presents a comprehensive framework for evaluating the quality of human manipulation datasets in contributing to efficient human-robot collaboration (HRC) in manufacturing settings. Recognizing the importance of safety and efficiency, we want to achieve the development of robotic systems capable of planning safe trajectories in anticipation of human actions. We assert that the quality of human motion prediction is contingent upon the quality of the underlying datasets, and thus our work proposes methodologies for appraising human manipulation video datasets based on their adequacy for human landmark extraction, which ultimately impacts their transferability to subsequent analytical models. We examine several intricate assembly operations, then extract relevant human skeletal data and implement a spatiotemporal analysis for effective sample validation and scenario categorization. From this, we extract out the duration taken to complete assembly tasks in an attempt to predict the next task completion duration, allowing for better HRC. Bachelor's degree 2024-05-27T01:45:58Z 2024-05-27T01:45:58Z 2024 Final Year Project (FYP) Nabeel Muhammad Bin Abu Bakar (2024). Study on quality evaluation of human motion dataset in manufacturing scenario. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177211 https://hdl.handle.net/10356/177211 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering Dataset quality evaluation Human manipulation Nabeel Muhammad Bin Abu Bakar Study on quality evaluation of human motion dataset in manufacturing scenario |
| title | Study on quality evaluation of human motion dataset in manufacturing scenario |
| title_full | Study on quality evaluation of human motion dataset in manufacturing scenario |
| title_fullStr | Study on quality evaluation of human motion dataset in manufacturing scenario |
| title_full_unstemmed | Study on quality evaluation of human motion dataset in manufacturing scenario |
| title_short | Study on quality evaluation of human motion dataset in manufacturing scenario |
| title_sort | study on quality evaluation of human motion dataset in manufacturing scenario |
| topic | Engineering Dataset quality evaluation Human manipulation |
| url | https://hdl.handle.net/10356/177211 |
| work_keys_str_mv | AT nabeelmuhammadbinabubakar studyonqualityevaluationofhumanmotiondatasetinmanufacturingscenario |