Standard
Fuzzy logic based activity life cycle tracking and recognition. / Kim, E.
; Helal, Sumi.
Inclusive Society: Health and Wellbeing in the Community, and Care at Home: 11th International Conference on Smart Homes and Health Telematics, ICOST 2013, Singapore, June 19-21, 2013, Proceedings. ed. / Jit Biswas; Hisato Kobayashi. Berlin: Springer, 2013. p. 252-258 (Lecture Notes in Computer Science; Vol. 7910).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Kim, E
& Helal, S 2013,
Fuzzy logic based activity life cycle tracking and recognition. in J Biswas & H Kobayashi (eds),
Inclusive Society: Health and Wellbeing in the Community, and Care at Home: 11th International Conference on Smart Homes and Health Telematics, ICOST 2013, Singapore, June 19-21, 2013, Proceedings. Lecture Notes in Computer Science, vol. 7910, Springer, Berlin, pp. 252-258.
https://doi.org/10.1007/978-3-642-39470-6_32APA
Kim, E.
, & Helal, S. (2013).
Fuzzy logic based activity life cycle tracking and recognition. In J. Biswas, & H. Kobayashi (Eds.),
Inclusive Society: Health and Wellbeing in the Community, and Care at Home: 11th International Conference on Smart Homes and Health Telematics, ICOST 2013, Singapore, June 19-21, 2013, Proceedings (pp. 252-258). (Lecture Notes in Computer Science; Vol. 7910). Springer.
https://doi.org/10.1007/978-3-642-39470-6_32Vancouver
Kim E
, Helal S.
Fuzzy logic based activity life cycle tracking and recognition. In Biswas J, Kobayashi H, editors, Inclusive Society: Health and Wellbeing in the Community, and Care at Home: 11th International Conference on Smart Homes and Health Telematics, ICOST 2013, Singapore, June 19-21, 2013, Proceedings. Berlin: Springer. 2013. p. 252-258. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-39470-6_32
Author
Kim, E.
; Helal, Sumi. /
Fuzzy logic based activity life cycle tracking and recognition. Inclusive Society: Health and Wellbeing in the Community, and Care at Home: 11th International Conference on Smart Homes and Health Telematics, ICOST 2013, Singapore, June 19-21, 2013, Proceedings. editor / Jit Biswas ; Hisato Kobayashi. Berlin : Springer, 2013. pp. 252-258 (Lecture Notes in Computer Science).
Bibtex
@inproceedings{77f239fd9eda48eea855cd9044d8793d,
title = "Fuzzy logic based activity life cycle tracking and recognition",
abstract = "Human activity has a life cycle that could be tracked to provide crucial information that increases activity recognition performance. Life cycle tracking also enables powerful and more versatile programming models over the sentience of human activities. This paper introduces a new activity recognition approach that is based on fuzzy logic and activity life cycle tracking. We conduct preliminary performance validation and show how activity life cycle tracking offers higher accuracy when compared to the traditional approach of no-life cycle activity recognition. {\textcopyright} 2013 Springer-Verlag Berlin Heidelberg.",
keywords = "Activity life cycle, Activity recognition, Fuzzy Logic, Human activities, Performance validation, Programming models, Traditional approaches, Automation, Fuzzy logic, Health, Home health care, Intelligent buildings, Pattern recognition, Wireless telecommunication systems, Life cycle",
author = "E. Kim and Sumi Helal",
year = "2013",
doi = "10.1007/978-3-642-39470-6_32",
language = "English",
isbn = "9783642394690",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "252--258",
editor = "Jit Biswas and Hisato Kobayashi",
booktitle = "Inclusive Society: Health and Wellbeing in the Community, and Care at Home",
}
RIS
TY - GEN
T1 - Fuzzy logic based activity life cycle tracking and recognition
AU - Kim, E.
AU - Helal, Sumi
PY - 2013
Y1 - 2013
N2 - Human activity has a life cycle that could be tracked to provide crucial information that increases activity recognition performance. Life cycle tracking also enables powerful and more versatile programming models over the sentience of human activities. This paper introduces a new activity recognition approach that is based on fuzzy logic and activity life cycle tracking. We conduct preliminary performance validation and show how activity life cycle tracking offers higher accuracy when compared to the traditional approach of no-life cycle activity recognition. © 2013 Springer-Verlag Berlin Heidelberg.
AB - Human activity has a life cycle that could be tracked to provide crucial information that increases activity recognition performance. Life cycle tracking also enables powerful and more versatile programming models over the sentience of human activities. This paper introduces a new activity recognition approach that is based on fuzzy logic and activity life cycle tracking. We conduct preliminary performance validation and show how activity life cycle tracking offers higher accuracy when compared to the traditional approach of no-life cycle activity recognition. © 2013 Springer-Verlag Berlin Heidelberg.
KW - Activity life cycle
KW - Activity recognition
KW - Fuzzy Logic
KW - Human activities
KW - Performance validation
KW - Programming models
KW - Traditional approaches
KW - Automation
KW - Fuzzy logic
KW - Health
KW - Home health care
KW - Intelligent buildings
KW - Pattern recognition
KW - Wireless telecommunication systems
KW - Life cycle
U2 - 10.1007/978-3-642-39470-6_32
DO - 10.1007/978-3-642-39470-6_32
M3 - Conference contribution/Paper
SN - 9783642394690
T3 - Lecture Notes in Computer Science
SP - 252
EP - 258
BT - Inclusive Society: Health and Wellbeing in the Community, and Care at Home
A2 - Biswas, Jit
A2 - Kobayashi, Hisato
PB - Springer
CY - Berlin
ER -
