Preventive Emergency Detection Based on the Probabilistic Evaluation of Distributed, Embedded Sensor Networks
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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Preventive Emergency Detection Based on the Probabilistic Evaluation of Distributed, Embedded Sensor Networks. / Busch, Björn-Helge; Kujath, Alexander; Witthöft, Heiko et al.
Ambient Assisted Living: 4. AAL-Kongress 2011 in Berlin. Hrsg. / Reiner Wichert; Birgid Eberhardt. Springer, 2011. S. 159-179 (Advanced Technologies and Societal Change).Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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RIS
TY - CHAP
T1 - Preventive Emergency Detection Based on the Probabilistic Evaluation of Distributed, Embedded Sensor Networks
AU - Busch, Björn-Helge
AU - Kujath, Alexander
AU - Witthöft, Heiko
AU - Welge, Ralph
N1 - Conference code: 4
PY - 2011
Y1 - 2011
N2 - To antagonize the outcome of the demographic and the appending structural change also, a human centered assistance sys¬tem, that means an assistance system, which is completely user orientated, is introduced. The assistance system is realizing a predictive situation recognition with the aid of the evaluation of embedded, local actuators and sensor networks, to regulate and even if necessary to initiate preventive interventions in the user’s environment. The key part of the assistance system is a hierarchical arrangement of functional layers with different capabilities; a main role is taken by the pro¬babilistic modeling of system inherent activities through stochastic processes. This is demonstrated by a simplified exam¬ple of emergency case detection including a following diagnosis process, to clarify the excellence and the current weak¬ness of the assistance system.
AB - To antagonize the outcome of the demographic and the appending structural change also, a human centered assistance sys¬tem, that means an assistance system, which is completely user orientated, is introduced. The assistance system is realizing a predictive situation recognition with the aid of the evaluation of embedded, local actuators and sensor networks, to regulate and even if necessary to initiate preventive interventions in the user’s environment. The key part of the assistance system is a hierarchical arrangement of functional layers with different capabilities; a main role is taken by the pro¬babilistic modeling of system inherent activities through stochastic processes. This is demonstrated by a simplified exam¬ple of emergency case detection including a following diagnosis process, to clarify the excellence and the current weak¬ness of the assistance system.
KW - Informatics
KW - AAL - Ambient Assistant Living,
KW - AAL-Technik
KW - AAL
KW - Hide Markov Model
KW - Description Logic
KW - State Sequence
KW - Assistance System
KW - Probabilistic Evaluation
U2 - 10.1007/978-3-642-18167-2_12
DO - 10.1007/978-3-642-18167-2_12
M3 - Article in conference proceedings
SN - 978-3-642-18166-5
SN - 3-642-18166-X
T3 - Advanced Technologies and Societal Change
SP - 159
EP - 179
BT - Ambient Assisted Living
A2 - Wichert, Reiner
A2 - Eberhardt, Birgid
PB - Springer
Y2 - 25 January 2011 through 26 January 2011
ER -