Fall detection with galvanic skin response sensor
Fall prevention is a major research interest nowadays as issues related to falls have become increasingly concerning with the world’s aging population. A fall intervention exosuit project has previously been created to assist in trip-falls. However, successful implementation implies that falls are n...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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2019
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| Online Access: | http://hdl.handle.net/10356/78931 |
| _version_ | 1826113443845898240 |
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| author | Du, Yibo |
| author2 | Ang Wei Tech |
| author_facet | Ang Wei Tech Du, Yibo |
| author_sort | Du, Yibo |
| collection | NTU |
| description | Fall prevention is a major research interest nowadays as issues related to falls have become increasingly concerning with the world’s aging population. A fall intervention exosuit project has previously been created to assist in trip-falls. However, successful implementation implies that falls are no longer observed using conventional kinematics and dynamics sensors. Hence, a fall detection method based on Galvanic Skin Response (GSR) sensor has been proposed. The GSR sensor is capable of sensing changes in stress levels which can be induced by falls. This allows for detection of instability felt by the user even when the fall intervention device successfully prevents a fall.
The method applies receiver operating characteristics (ROC) method to analyze the raw data collected from the GSR sensor. In an experiment that involves fifteen subjects, the method has been proven to be able to distinguish a fall correctly with a 0.9938 area under curve (AUC). In this paper, the method has been described and some findings on the performance of the GSR sensor in fall detection have been presented. |
| first_indexed | 2024-10-01T03:23:37Z |
| format | Thesis |
| id | ntu-10356/78931 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:23:37Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/789312023-03-11T17:30:25Z Fall detection with galvanic skin response sensor Du, Yibo Ang Wei Tech School of Mechanical and Aerospace Engineering Rehabilitation Research Institute of Singapore (RRIS) Engineering::Mechanical engineering::Assistive technology Fall prevention is a major research interest nowadays as issues related to falls have become increasingly concerning with the world’s aging population. A fall intervention exosuit project has previously been created to assist in trip-falls. However, successful implementation implies that falls are no longer observed using conventional kinematics and dynamics sensors. Hence, a fall detection method based on Galvanic Skin Response (GSR) sensor has been proposed. The GSR sensor is capable of sensing changes in stress levels which can be induced by falls. This allows for detection of instability felt by the user even when the fall intervention device successfully prevents a fall. The method applies receiver operating characteristics (ROC) method to analyze the raw data collected from the GSR sensor. In an experiment that involves fifteen subjects, the method has been proven to be able to distinguish a fall correctly with a 0.9938 area under curve (AUC). In this paper, the method has been described and some findings on the performance of the GSR sensor in fall detection have been presented. Master of Science (Systems and Project Management) 2019-11-05T04:34:18Z 2019-11-05T04:34:18Z 2019 Thesis http://hdl.handle.net/10356/78931 en 67 p. application/pdf |
| spellingShingle | Engineering::Mechanical engineering::Assistive technology Du, Yibo Fall detection with galvanic skin response sensor |
| title | Fall detection with galvanic skin response sensor |
| title_full | Fall detection with galvanic skin response sensor |
| title_fullStr | Fall detection with galvanic skin response sensor |
| title_full_unstemmed | Fall detection with galvanic skin response sensor |
| title_short | Fall detection with galvanic skin response sensor |
| title_sort | fall detection with galvanic skin response sensor |
| topic | Engineering::Mechanical engineering::Assistive technology |
| url | http://hdl.handle.net/10356/78931 |
| work_keys_str_mv | AT duyibo falldetectionwithgalvanicskinresponsesensor |