Detection Error Contaminated by Outliers to Classify Density Profiles Dependent on the Relative Speed Between a MIMO Sensor and a Human Hand
The detection of human hand intrusion is crucial for improving the productivity of human–robot collaboration. Recent trends to safety-related sensors have adopted the concept of radar-based human presence detection. Some of them have already been commercialized. However, it has not yet be...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9866749/ |
| _version_ | 1797999016524382208 |
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| author | Eugene Kim Yoji Yamada Shogo Okamoto |
| author_facet | Eugene Kim Yoji Yamada Shogo Okamoto |
| author_sort | Eugene Kim |
| collection | DOAJ |
| description | The detection of human hand intrusion is crucial for improving the productivity of human–robot collaboration. Recent trends to safety-related sensors have adopted the concept of radar-based human presence detection. Some of them have already been commercialized. However, it has not yet been elucidated whether radars can sufficiently detect human hand intrusion and satisfy the required safety integrity level. In this study, we present outlier and error profiles obtained by detecting human hand intrusion based on the motion and speeds of the human hand and radar sensor. Our experiments indicate that slow hand movements require further studies from the viewpoint of safety. In addition, we suggest a new noise model demonstrating random noise and temporary outliers based on the recorded noise profiles of actual human participants. The obtained outlier and error profiles can be utilized as an outlier judgement criterion of the sensing in the specific case of the radar. |
| first_indexed | 2024-04-11T10:57:58Z |
| format | Article |
| id | doaj.art-d2a72e91cc3f4d908e41c968162ede6f |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T10:57:58Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-d2a72e91cc3f4d908e41c968162ede6f2022-12-22T04:28:43ZengIEEEIEEE Access2169-35362022-01-0110905769058510.1109/ACCESS.2022.32015639866749Detection Error Contaminated by Outliers to Classify Density Profiles Dependent on the Relative Speed Between a MIMO Sensor and a Human HandEugene Kim0Yoji Yamada1Shogo Okamoto2Department of Mechanical Systems Engineering, Nagoya University, Nagoya, Chikusa-ku, JapanDepartment of Mechanical Systems Engineering, Nagoya University, Nagoya, Chikusa-ku, JapanDepartment of Computer Science, Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, JapanThe detection of human hand intrusion is crucial for improving the productivity of human–robot collaboration. Recent trends to safety-related sensors have adopted the concept of radar-based human presence detection. Some of them have already been commercialized. However, it has not yet been elucidated whether radars can sufficiently detect human hand intrusion and satisfy the required safety integrity level. In this study, we present outlier and error profiles obtained by detecting human hand intrusion based on the motion and speeds of the human hand and radar sensor. Our experiments indicate that slow hand movements require further studies from the viewpoint of safety. In addition, we suggest a new noise model demonstrating random noise and temporary outliers based on the recorded noise profiles of actual human participants. The obtained outlier and error profiles can be utilized as an outlier judgement criterion of the sensing in the specific case of the radar.https://ieeexplore.ieee.org/document/9866749/Human hand intrusionhuman–robot collaborationnoise and outlierssafety-related sensor |
| spellingShingle | Eugene Kim Yoji Yamada Shogo Okamoto Detection Error Contaminated by Outliers to Classify Density Profiles Dependent on the Relative Speed Between a MIMO Sensor and a Human Hand IEEE Access Human hand intrusion human–robot collaboration noise and outliers safety-related sensor |
| title | Detection Error Contaminated by Outliers to Classify Density Profiles Dependent on the Relative Speed Between a MIMO Sensor and a Human Hand |
| title_full | Detection Error Contaminated by Outliers to Classify Density Profiles Dependent on the Relative Speed Between a MIMO Sensor and a Human Hand |
| title_fullStr | Detection Error Contaminated by Outliers to Classify Density Profiles Dependent on the Relative Speed Between a MIMO Sensor and a Human Hand |
| title_full_unstemmed | Detection Error Contaminated by Outliers to Classify Density Profiles Dependent on the Relative Speed Between a MIMO Sensor and a Human Hand |
| title_short | Detection Error Contaminated by Outliers to Classify Density Profiles Dependent on the Relative Speed Between a MIMO Sensor and a Human Hand |
| title_sort | detection error contaminated by outliers to classify density profiles dependent on the relative speed between a mimo sensor and a human hand |
| topic | Human hand intrusion human–robot collaboration noise and outliers safety-related sensor |
| url | https://ieeexplore.ieee.org/document/9866749/ |
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