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YOLOv8-DTW-based pose recognition and training evaluation for free climbing actions

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Published in:Discover Artificial Intelligence (Springer)
Format: Online Article RSS Article
Published: 2026
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container_title Discover Artificial Intelligence (Springer)
description
discipline_display Access Artificial Intelligence and Machine Learning
discipline_facet Access Artificial Intelligence and Machine Learning
format Online Article
RSS Article
genre Journal Article
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institution FRELIP
journal_source_facet Discover Artificial Intelligence (Springer)
last_indexed 2026-06-12T02:00:45.559Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle YOLOv8-DTW-based pose recognition and training evaluation for free climbing actions
Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
sub_discipline_display General
sub_discipline_facet General
subject_display Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
subject_facet Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
title YOLOv8-DTW-based pose recognition and training evaluation for free climbing actions
title_auth YOLOv8-DTW-based pose recognition and training evaluation for free climbing actions
title_full YOLOv8-DTW-based pose recognition and training evaluation for free climbing actions
title_fullStr YOLOv8-DTW-based pose recognition and training evaluation for free climbing actions
title_full_unstemmed YOLOv8-DTW-based pose recognition and training evaluation for free climbing actions
title_short YOLOv8-DTW-based pose recognition and training evaluation for free climbing actions
title_sort yolov8-dtw-based pose recognition and training evaluation for free climbing actions
topic Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
url https://link.springer.com/article/10.1007/s44163-026-01527-2