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Conference Paper/Proceeding/Abstract 423 views

A 3D Visual Tracking Method for Rehabilitation Path Planning

Daniele Cafolla Orcid Logo

Mechanisms and Machine Science, Volume: 65, Pages: 264 - 272

Swansea University Author: Daniele Cafolla Orcid Logo

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DOI (Published version): 10.1007/978-3-030-00329-6_30

Published in: Mechanisms and Machine Science
ISBN: 9783030003289 9783030003296
ISSN: 2211-0984 2211-0992
Published: Cham Springer International Publishing 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa62505
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first_indexed 2023-03-03T13:40:32Z
last_indexed 2023-03-04T04:14:30Z
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spelling 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
author_id_str_mv ac4feae4da44720e216ab2e0359e4ddb
author_id_fullname_str_mv ac4feae4da44720e216ab2e0359e4ddb_***_Daniele Cafolla
author Daniele Cafolla
author2 Daniele Cafolla
format 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
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doi_str_mv 10.1007/978-3-030-00329-6_30
publisher Springer International Publishing
college_str Faculty of Science and Engineering
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hierarchy_parent_id facultyofscienceandengineering
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department_str 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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