Conference Paper/Proceeding/Abstract 422 views
A 3D Visual Tracking Method for Rehabilitation Path Planning
Mechanisms and Machine Science, Volume: 65, Pages: 264 - 272
Swansea University Author: Daniele Cafolla
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DOI (Published version): 10.1007/978-3-030-00329-6_30
Abstract
A 3D Visual Tracking Method for Rehabilitation Path Planning
Published in: | Mechanisms and Machine Science |
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ISBN: | 9783030003289 9783030003296 |
ISSN: | 2211-0984 2211-0992 |
Published: |
Cham
Springer International Publishing
2018
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa62505 |
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2023-03-03T13:40:34.0583397 v2 62505 2023-02-03 A 3D Visual Tracking Method for Rehabilitation Path Planning ac4feae4da44720e216ab2e0359e4ddb 0000-0002-5602-1519 Daniele Cafolla Daniele Cafolla true false 2023-02-03 SCS Conference Paper/Proceeding/Abstract Mechanisms and Machine Science 65 264 272 Springer International Publishing Cham 9783030003289 9783030003296 2211-0984 2211-0992 Motion tracking; Object detection; Depth cloud; Rehabilitation device 27 9 2018 2018-09-27 10.1007/978-3-030-00329-6_30 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2023-03-03T13:40:34.0583397 2023-02-03T14:20:41.5812385 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Daniele Cafolla 0000-0002-5602-1519 1 |
title |
A 3D Visual Tracking Method for Rehabilitation Path Planning |
spellingShingle |
A 3D Visual Tracking Method for Rehabilitation Path Planning Daniele Cafolla |
title_short |
A 3D Visual Tracking Method for Rehabilitation Path Planning |
title_full |
A 3D Visual Tracking Method for Rehabilitation Path Planning |
title_fullStr |
A 3D Visual Tracking Method for Rehabilitation Path Planning |
title_full_unstemmed |
A 3D Visual Tracking Method for Rehabilitation Path Planning |
title_sort |
A 3D Visual Tracking Method for Rehabilitation Path Planning |
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ac4feae4da44720e216ab2e0359e4ddb |
author_id_fullname_str_mv |
ac4feae4da44720e216ab2e0359e4ddb_***_Daniele Cafolla |
author |
Daniele Cafolla |
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Daniele Cafolla |
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Conference Paper/Proceeding/Abstract |
container_title |
Mechanisms and Machine Science |
container_volume |
65 |
container_start_page |
264 |
publishDate |
2018 |
institution |
Swansea University |
isbn |
9783030003289 9783030003296 |
issn |
2211-0984 2211-0992 |
doi_str_mv |
10.1007/978-3-030-00329-6_30 |
publisher |
Springer International Publishing |
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Faculty of Science and Engineering |
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School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
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published_date |
2018-09-27T04:22:10Z |
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11.035349 |