Search
Performance Analysis of Interaction between Smart Glasses and Smart Objects Using Image-Based Object Identification
Abstract
We propose the use of smart glasses to collaborate with smart objects in the Internet of Things environment. Particularly we are focusing on new interaction methods and the analysis of acceptable reaction times in the process of object recognition using smart glasses. We evaluated the proposed method using user studies and experiments with three different smart glasses: Google Glass, Epson Moverio, and the developed eGlasses platform. We conclude that using the proposed method it is possible to recognize objects and process information allowing object detection below the average acceptance response times specified by almost all participants in the user study. Additionally, we showed that eye-tracking can be used for simple interaction between a user and a graphical user interface presented in the near-to-eye display.
Citations
-
6
CrossRef
-
0
Web of Science
-
7
Scopus
Authors (7)
-
Alexey Andrushevich
- Hochschule Luzern iHomeLab
-
Martin Biallas
- Hochschule Luzern iHomeLab
-
Rolf Kistler
- Hochschule Luzern iHomeLab
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1155/2016/6254827
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
International Journal of Distributed Sensor Networks
no. 12,
pages 1 - 14,
ISSN: 1550-1477 - Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Rumiński J., Bujnowski A., Kocejko T., Wtorek J., Andrushevich A., Biallas M., Kistler R.: Performance Analysis of Interaction between Smart Glasses and Smart Objects Using Image-Based Object Identification// International Journal of Distributed Sensor Networks. -Vol. 12, iss. 3 (2016), s.1-14
- DOI:
- Digital Object Identifier (open in new tab) 10.1155/2016/6254827
- Verified by:
- Gdańsk University of Technology
seen 145 times