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A Protocol for Analysing Ankle Motion Data: A Standardized Approach to Kinematic Assessment

Giovanni Mastrangelo Orcid Logo, Betsy Dayana Marcela Chaparro Rico Orcid Logo, Chelsea Starbuck Orcid Logo, Matteo Russo Orcid Logo, Marco Ceccarelli Orcid Logo, Daniele Cafolla Orcid Logo

Lecture Notes in Computer Science, Pages: 232 - 243

Swansea University Authors: Betsy Dayana Marcela Chaparro Rico Orcid Logo, Chelsea Starbuck Orcid Logo, Daniele Cafolla Orcid Logo

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Published in: Lecture Notes in Computer Science
ISBN: 9783032006554 9783032006561
ISSN: 0302-9743 1611-3349
Published: Cham Springer Nature Switzerland 2026
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URI: https://cronfa.swan.ac.uk/Record/cronfa71366
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title A Protocol for Analysing Ankle Motion Data: A Standardized Approach to Kinematic Assessment
spellingShingle A Protocol for Analysing Ankle Motion Data: A Standardized Approach to Kinematic Assessment
Betsy Dayana Marcela Chaparro Rico
Chelsea Starbuck
Daniele Cafolla
title_short A Protocol for Analysing Ankle Motion Data: A Standardized Approach to Kinematic Assessment
title_full A Protocol for Analysing Ankle Motion Data: A Standardized Approach to Kinematic Assessment
title_fullStr A Protocol for Analysing Ankle Motion Data: A Standardized Approach to Kinematic Assessment
title_full_unstemmed A Protocol for Analysing Ankle Motion Data: A Standardized Approach to Kinematic Assessment
title_sort A Protocol for Analysing Ankle Motion Data: A Standardized Approach to Kinematic Assessment
author_id_str_mv fab062f51ecae36a295bd5c53e03fef5
b12b936789e5be3976b2f2c1c8988d4c
ac4feae4da44720e216ab2e0359e4ddb
author_id_fullname_str_mv fab062f51ecae36a295bd5c53e03fef5_***_Betsy Dayana Marcela Chaparro Rico
b12b936789e5be3976b2f2c1c8988d4c_***_Chelsea Starbuck
ac4feae4da44720e216ab2e0359e4ddb_***_Daniele Cafolla
author Betsy Dayana Marcela Chaparro Rico
Chelsea Starbuck
Daniele Cafolla
author2 Giovanni Mastrangelo
Betsy Dayana Marcela Chaparro Rico
Chelsea Starbuck
Matteo Russo
Marco Ceccarelli
Daniele Cafolla
format Book chapter
container_title Lecture Notes in Computer Science
container_start_page 232
publishDate 2026
institution Swansea University
isbn 9783032006554
9783032006561
issn 0302-9743
1611-3349
doi_str_mv 10.1007/978-3-032-00656-1_17
publisher Springer Nature Switzerland
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title 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
url https://doi.org/10.1007/978-3-032-00656-1_17
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published_date 2026-01-01T08:42:50Z
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