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Medientyp:
E-Artikel
Titel:
A low-cost non-intrusive spatial hand tracking pipeline for product-process interaction
Beteiligte:
Gopsill, James;
Kukreja, Aman;
Cox, Christopher Michael Jason;
Snider, Chris
Erschienen:
Cambridge University Press (CUP), 2024
Erschienen in:
Proceedings of the Design Society, 4 (2024), Seite 2069-2078
Sprache:
Englisch
DOI:
10.1017/pds.2024.209
ISSN:
2732-527X
Entstehung:
Anmerkungen:
Beschreibung:
AbstractHands are the sensors and actuators for many design tasks. While several tools exist to capture human interaction and pose, many are expensive and require intrusive measurement devices to be placed on participants and often takes them out of the natural working environment. This paper reports a novel workflow that combines computer vision, several Machine Learning algorithms, and geometric transformations to provide a low-cost non-intrusive means of spatially tracking hands. A ±3mm position accuracy was attained across a series of 3-dimensional follow the path studies.