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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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Published in: Mechanisms and Machine Science
ISBN: 9783030003289 9783030003296
ISSN: 2211-0984 2211-0992
Published: Cham Springer International Publishing 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa62505
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Keywords: Motion tracking; Object detection; Depth cloud; Rehabilitation device
College: Faculty of Science and Engineering
Start Page: 264
End Page: 272