AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
How to
Here you can find the complete list of our publications.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2014
Augello, Agnese; Gaglio, Salvatore
Detection of User Activities in Intelligent Environments Journal Article
In: Advances in Intelligent Systems and Computing, vol. 260, pp. 19–32, 2014, ISSN: 21945357.
Abstract | Links | BibTeX | Tags: Ambient intelligence, Behavioral Research, Intelligent Environment, User Behavior Analysis
@article{augelloDetectionUserActivities2014,
title = {Detection of User Activities in Intelligent Environments},
author = { Agnese Augello and Salvatore Gaglio},
doi = {10.1007/978-3-319-03992-3_2},
issn = {21945357},
year = {2014},
date = {2014-01-01},
journal = {Advances in Intelligent Systems and Computing},
volume = {260},
pages = {19--32},
abstract = {Research on Ambient Intelligence (AmI) focuses on the development of smart environments adaptable to the needs and preferences of their inhabitants. For this reason it is important to understand and model user preferences. In this chapter we describe a system to detect user behavior patterns in an intelligent workplace. The system is designed for a workplace equipped in the context of Sensor9k, a project carried out at the Department of Computer Science at the University of Palermo (Italy). textcopyright Springer International Publishing Switzerland 2014.},
keywords = {Ambient intelligence, Behavioral Research, Intelligent Environment, User Behavior Analysis},
pubstate = {published},
tppubtype = {article}
}
Research on Ambient Intelligence (AmI) focuses on the development of smart environments adaptable to the needs and preferences of their inhabitants. For this reason it is important to understand and model user preferences. In this chapter we describe a system to detect user behavior patterns in an intelligent workplace. The system is designed for a workplace equipped in the context of Sensor9k, a project carried out at the Department of Computer Science at the University of Palermo (Italy). textcopyright Springer International Publishing Switzerland 2014.
Augello, Agnese; Gaglio, Salvatore
Detection of user activities in intelligent environments Journal Article
In: Advances in Intelligent Systems and Computing, vol. 260, pp. 19–32, 2014, ISSN: 21945357.
Abstract | Links | BibTeX | Tags: Ambient intelligence, Behavioral Research, Intelligent Environment, User Behavior Analysis
@article{augello_detection_2014,
title = {Detection of user activities in intelligent environments},
author = {Agnese Augello and Salvatore Gaglio},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903729976&doi=10.1007%2f978-3-319-03992-3_2&partnerID=40&md5=5280f33f184d7723e4506e1cb87438aa},
doi = {10.1007/978-3-319-03992-3_2},
issn = {21945357},
year = {2014},
date = {2014-01-01},
journal = {Advances in Intelligent Systems and Computing},
volume = {260},
pages = {19–32},
abstract = {Research on Ambient Intelligence (AmI) focuses on the development of smart environments adaptable to the needs and preferences of their inhabitants. For this reason it is important to understand and model user preferences. In this chapter we describe a system to detect user behavior patterns in an intelligent workplace. The system is designed for a workplace equipped in the context of Sensor9k, a project carried out at the Department of Computer Science at the University of Palermo (Italy). © Springer International Publishing Switzerland 2014.},
keywords = {Ambient intelligence, Behavioral Research, Intelligent Environment, User Behavior Analysis},
pubstate = {published},
tppubtype = {article}
}
Research on Ambient Intelligence (AmI) focuses on the development of smart environments adaptable to the needs and preferences of their inhabitants. For this reason it is important to understand and model user preferences. In this chapter we describe a system to detect user behavior patterns in an intelligent workplace. The system is designed for a workplace equipped in the context of Sensor9k, a project carried out at the Department of Computer Science at the University of Palermo (Italy). © Springer International Publishing Switzerland 2014.