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: 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

Digital Object Identifier (DOI): http://dx.doi.org/10.1007/978-3-030-34983-7_50

Permanent website address: https://link.springer.com/chapter/10.1007/978-3-030-34983-7_50

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