Conference Paper/Proceeding/Abstract 803 views
Robust unobtrusive fall detection using infrared array sensors
2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Pages: 194 - 199
Swansea University Author: Xiuyi Fan
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DOI (Published version): 10.1109/mfi.2017.8170428
Abstract
We present a fall detection system using infrared array sensors with several deep learning methods, including long-short-term-memory and gated recurrent unit models. Evaluated with fall data collected in two different sets of configurations, we show that our approach gives significant improvement ov...
Published in: | 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) |
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ISBN: | 978-1-5090-6065-8 9781509060641 |
Published: |
Daegu, South Korea
IEEE
2017
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URI: | https://cronfa.swan.ac.uk/Record/cronfa39370 |
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2018-04-23T14:29:44.1624495 v2 39370 2018-04-11 Robust unobtrusive fall detection using infrared array sensors a88a07c43b3e80f27cb96897d1bc2534 Xiuyi Fan Xiuyi Fan true false 2018-04-11 We present a fall detection system using infrared array sensors with several deep learning methods, including long-short-term-memory and gated recurrent unit models. Evaluated with fall data collected in two different sets of configurations, we show that our approach gives significant improvement over existing works using the same infrared array sensor. Conference Paper/Proceeding/Abstract 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) 194 199 IEEE Daegu, South Korea 978-1-5090-6065-8 9781509060641 Fall Detection 11 12 2017 2017-12-11 10.1109/mfi.2017.8170428 COLLEGE NANME COLLEGE CODE Swansea University 2018-04-23T14:29:44.1624495 2018-04-11T18:32:34.1870668 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Xiuyi Fan 1 Huiguo Zhang 2 Cyril Leung 3 Zhiqi Shen 4 |
title |
Robust unobtrusive fall detection using infrared array sensors |
spellingShingle |
Robust unobtrusive fall detection using infrared array sensors Xiuyi Fan |
title_short |
Robust unobtrusive fall detection using infrared array sensors |
title_full |
Robust unobtrusive fall detection using infrared array sensors |
title_fullStr |
Robust unobtrusive fall detection using infrared array sensors |
title_full_unstemmed |
Robust unobtrusive fall detection using infrared array sensors |
title_sort |
Robust unobtrusive fall detection using infrared array sensors |
author_id_str_mv |
a88a07c43b3e80f27cb96897d1bc2534 |
author_id_fullname_str_mv |
a88a07c43b3e80f27cb96897d1bc2534_***_Xiuyi Fan |
author |
Xiuyi Fan |
author2 |
Xiuyi Fan Huiguo Zhang Cyril Leung Zhiqi Shen |
format |
Conference Paper/Proceeding/Abstract |
container_title |
2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) |
container_start_page |
194 |
publishDate |
2017 |
institution |
Swansea University |
isbn |
978-1-5090-6065-8 9781509060641 |
doi_str_mv |
10.1109/mfi.2017.8170428 |
publisher |
IEEE |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
department_str |
School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
document_store_str |
0 |
active_str |
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description |
We present a fall detection system using infrared array sensors with several deep learning methods, including long-short-term-memory and gated recurrent unit models. Evaluated with fall data collected in two different sets of configurations, we show that our approach gives significant improvement over existing works using the same infrared array sensor. |
published_date |
2017-12-11T03:49:59Z |
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1763752437100838912 |
score |
11.016235 |