Standard
From activity recognition to situation recognition. / Lee, D.
; Helal, Sumi.
International Conference on Smart Homes and Health Telematics: ICOST 2013: Inclusive Society: Health and Wellbeing in the Community, and Care at Home. ed. / Jit Biswas; H. Kobayashi; L. Wong; Bessam Abdulrazak; Mounir Mokhtari. Berlin: Springer, 2013. p. 245-251 (Lecture Notes in Computer Science; Vol. 7910).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Lee, D
& Helal, S 2013,
From activity recognition to situation recognition. in J Biswas, H Kobayashi, L Wong, B Abdulrazak & M Mokhtari (eds),
International Conference on Smart Homes and Health Telematics: ICOST 2013: Inclusive Society: Health and Wellbeing in the Community, and Care at Home. Lecture Notes in Computer Science, vol. 7910, Springer, Berlin, pp. 245-251.
https://doi.org/10.1007/978-3-642-39470-6-31APA
Vancouver
Lee D
, Helal S.
From activity recognition to situation recognition. In Biswas J, Kobayashi H, Wong L, Abdulrazak B, Mokhtari M, editors, International Conference on Smart Homes and Health Telematics: ICOST 2013: Inclusive Society: Health and Wellbeing in the Community, and Care at Home. Berlin: Springer. 2013. p. 245-251. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-39470-6-31
Author
Lee, D.
; Helal, Sumi. /
From activity recognition to situation recognition. International Conference on Smart Homes and Health Telematics: ICOST 2013: Inclusive Society: Health and Wellbeing in the Community, and Care at Home. editor / Jit Biswas ; H. Kobayashi ; L. Wong ; Bessam Abdulrazak ; Mounir Mokhtari. Berlin : Springer, 2013. pp. 245-251 (Lecture Notes in Computer Science).
Bibtex
@inproceedings{e904e1306b20400ea7493ed6fde74c03,
title = "From activity recognition to situation recognition",
abstract = "Activity recognition is important to many critical human-centric applications. Despite success in activity recognition research, there seems to be a quest for a richer sentience that is more expressive than human activity. In particular, situation has received intense attention lately with a multitude of overlapping definitions motivated by a variety of different goals. With the goal of assessing user behavior response (compliance) in persuasive systems, we propose a specific definition of situation along with a framework for designing situation recognition algorithms. {\textcopyright} 2013 Springer-Verlag Berlin Heidelberg.",
keywords = "persuasive systems, Situation, situation recognition, user behavior, Activity recognition, Human activities, Human-centric, Situation recognition, User behaviors, Automation, Health, Home health care, Intelligent buildings, Pattern recognition, Wireless telecommunication systems, Behavioral research",
author = "D. Lee and Sumi Helal",
year = "2013",
doi = "10.1007/978-3-642-39470-6-31",
language = "English",
isbn = "9783642394690 ",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "245--251",
editor = "Jit Biswas and Kobayashi, {H. } and L. Wong and Bessam Abdulrazak and Mounir Mokhtari",
booktitle = "International Conference on Smart Homes and Health Telematics",
}
RIS
TY - GEN
T1 - From activity recognition to situation recognition
AU - Lee, D.
AU - Helal, Sumi
PY - 2013
Y1 - 2013
N2 - Activity recognition is important to many critical human-centric applications. Despite success in activity recognition research, there seems to be a quest for a richer sentience that is more expressive than human activity. In particular, situation has received intense attention lately with a multitude of overlapping definitions motivated by a variety of different goals. With the goal of assessing user behavior response (compliance) in persuasive systems, we propose a specific definition of situation along with a framework for designing situation recognition algorithms. © 2013 Springer-Verlag Berlin Heidelberg.
AB - Activity recognition is important to many critical human-centric applications. Despite success in activity recognition research, there seems to be a quest for a richer sentience that is more expressive than human activity. In particular, situation has received intense attention lately with a multitude of overlapping definitions motivated by a variety of different goals. With the goal of assessing user behavior response (compliance) in persuasive systems, we propose a specific definition of situation along with a framework for designing situation recognition algorithms. © 2013 Springer-Verlag Berlin Heidelberg.
KW - persuasive systems
KW - Situation
KW - situation recognition
KW - user behavior
KW - Activity recognition
KW - Human activities
KW - Human-centric
KW - Situation recognition
KW - User behaviors
KW - Automation
KW - Health
KW - Home health care
KW - Intelligent buildings
KW - Pattern recognition
KW - Wireless telecommunication systems
KW - Behavioral research
U2 - 10.1007/978-3-642-39470-6-31
DO - 10.1007/978-3-642-39470-6-31
M3 - Conference contribution/Paper
SN - 9783642394690
T3 - Lecture Notes in Computer Science
SP - 245
EP - 251
BT - International Conference on Smart Homes and Health Telematics
A2 - Biswas, Jit
A2 - Kobayashi, H.
A2 - Wong, L.
A2 - Abdulrazak, Bessam
A2 - Mokhtari, Mounir
PB - Springer
CY - Berlin
ER -
