A4 Conference proceedings

3D Hand Movement Measurement Framework for Studying Human-Computer Interaction


Open Access publication

Publication Details
Authors: Kuronen Toni, Eerola Tuomas, Lensu Lasse, Häkkinen Jukka, Kälviäinen Heikki
Editors of book: Arseniev DG, Overmeyer L, Kälviäinen H, Katalini{ć} B
Publisher: Springer Verlag (Germany): Conference Proceedings
Publishing place: Chem
Publication year: 2019
Language: English
Related Journal or Series Information: Lecture Notes in Networks and Systems
Title of parent publication: Cyber-Physical Systems and Control
Volume number: 95
Start page: 513
End page: 524
Number of pages: 12
ISBN: 978-3-030-34982-0
eISBN: 978-3-030-34983-7
ISSN: 2367-3370
eISSN: 2367-3389
JUFO-Level of this publication: 1
Open Access: Open Access publication
Location of the parallel saved publication: http://urn.fi/URN:NBN:fi-fe2019121748488

Abstract
In order to develop better touch and gesture user interfaces, it is important to be able to measure how humans move their hands while interacting with technical devices. The recent advances in high-speed imaging technology and in image-based object tracking techniques have made it possible to accurately measure the hand movement from videos without the need for data gloves or other sensors that would limit the natural hand movements. In this paper, we propose a complete framework to measure hand movements in 3D in human-computer interaction situations. The framework includes the composition of the measurement setup, selecting the object tracking methods, post-processing of the motion trajectories, 3D trajectory reconstruction, and characterizing and visualizing the movement data. We demonstrate the framework in a context where 3D touch screen usability is studied with 3D stimuli.

Last updated on 2020-20-03 at 10:03