Detection of Pre-Impact Falls from Heights Using an Inertial Measurement Unit Sensor
Many safety accidents can occur in industrial sites. Among them, falls from heights (FFHs) are the most frequent accidents and have the highest fatality rate. Therefore, some existing studies have developed personal wearable airbags to mitigate the damage caused by FFHs. To utilize these airbags eff...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/18/5388 |
| _version_ | 1797553147673051136 |
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| author | Youngho Kim Haneul Jung Bummo Koo Jongman Kim Taehee Kim Yejin Nam |
| author_facet | Youngho Kim Haneul Jung Bummo Koo Jongman Kim Taehee Kim Yejin Nam |
| author_sort | Youngho Kim |
| collection | DOAJ |
| description | Many safety accidents can occur in industrial sites. Among them, falls from heights (FFHs) are the most frequent accidents and have the highest fatality rate. Therefore, some existing studies have developed personal wearable airbags to mitigate the damage caused by FFHs. To utilize these airbags effectively, it is essential to detect FFHs before collision with the floor. In this study, an inertial measurement unit (IMU) sensor attached to the seventh thoracic vertebrae (T7) was used to develop an FFH detection algorithm. The vertical angle and vertical velocity were calculated using the inertial data obtained from the IMU sensor. Forty young and healthy males were recruited to perform non-FFH and FFH motions. In addition, experiments using a human mannequin and dynamics simulations were performed to obtain FFH data at heights above 2 m. The developed algorithm achieved 100% FFH detection accuracy and provided sufficient lead time such that the airbags could be inflated completely before collision with the floor. |
| first_indexed | 2024-03-10T16:11:18Z |
| format | Article |
| id | doaj.art-1211527c296544ec9353982b04e21622 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T16:11:18Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1211527c296544ec9353982b04e216222023-11-20T14:25:39ZengMDPI AGSensors1424-82202020-09-012018538810.3390/s20185388Detection of Pre-Impact Falls from Heights Using an Inertial Measurement Unit SensorYoungho Kim0Haneul Jung1Bummo Koo2Jongman Kim3Taehee Kim4Yejin Nam5Department of Biomedical Engineering, Yonsei University, Wonju 26493, KoreaDepartment of Biomedical Engineering, Yonsei University, Wonju 26493, KoreaDepartment of Biomedical Engineering, Yonsei University, Wonju 26493, KoreaDepartment of Biomedical Engineering, Yonsei University, Wonju 26493, KoreaDepartment of Biomedical Engineering, Yonsei University, Wonju 26493, KoreaDepartment of Biomedical Engineering, Yonsei University, Wonju 26493, KoreaMany safety accidents can occur in industrial sites. Among them, falls from heights (FFHs) are the most frequent accidents and have the highest fatality rate. Therefore, some existing studies have developed personal wearable airbags to mitigate the damage caused by FFHs. To utilize these airbags effectively, it is essential to detect FFHs before collision with the floor. In this study, an inertial measurement unit (IMU) sensor attached to the seventh thoracic vertebrae (T7) was used to develop an FFH detection algorithm. The vertical angle and vertical velocity were calculated using the inertial data obtained from the IMU sensor. Forty young and healthy males were recruited to perform non-FFH and FFH motions. In addition, experiments using a human mannequin and dynamics simulations were performed to obtain FFH data at heights above 2 m. The developed algorithm achieved 100% FFH detection accuracy and provided sufficient lead time such that the airbags could be inflated completely before collision with the floor.https://www.mdpi.com/1424-8220/20/18/5388falls from heightswearable airbagcomplementary filterinertial measurement unitdetection algorithm |
| spellingShingle | Youngho Kim Haneul Jung Bummo Koo Jongman Kim Taehee Kim Yejin Nam Detection of Pre-Impact Falls from Heights Using an Inertial Measurement Unit Sensor Sensors falls from heights wearable airbag complementary filter inertial measurement unit detection algorithm |
| title | Detection of Pre-Impact Falls from Heights Using an Inertial Measurement Unit Sensor |
| title_full | Detection of Pre-Impact Falls from Heights Using an Inertial Measurement Unit Sensor |
| title_fullStr | Detection of Pre-Impact Falls from Heights Using an Inertial Measurement Unit Sensor |
| title_full_unstemmed | Detection of Pre-Impact Falls from Heights Using an Inertial Measurement Unit Sensor |
| title_short | Detection of Pre-Impact Falls from Heights Using an Inertial Measurement Unit Sensor |
| title_sort | detection of pre impact falls from heights using an inertial measurement unit sensor |
| topic | falls from heights wearable airbag complementary filter inertial measurement unit detection algorithm |
| url | https://www.mdpi.com/1424-8220/20/18/5388 |
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