Preventive Emergency Detection Based on the Probabilistic Evaluation of Distributed, Embedded Sensor Networks

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

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.
OriginalspracheEnglisch
TitelAmbient Assisted Living : 4. AAL-Kongress 2011 in Berlin
HerausgeberReiner Wichert, Birgid Eberhardt
Anzahl der Seiten21
VerlagSpringer Verlag
Erscheinungsdatum2011
Seiten159-179
ISBN (Print)978-3-642-18166-5, 3-642-18166-X
ISBN (elektronisch)978-3-642-18167-2
DOIs
PublikationsstatusErschienen - 2011
Veranstaltung4. Kongress und Ausstellung zu Alltagsunterstützenden Assistenzlösungen / Active Assisted Living - AAL 2011 - Berlin, Deutschland
Dauer: 25.01.201126.01.2011
Konferenznummer: 4

    Fachgebiete

  • Informatik - AAL - Ambient Assistant Living, , AAL-Technik, AAL

DOI

Zuletzt angesehen

Publikationen

  1. A transfer operator based computational study of mixing processes in open flow systems
  2. Automatic enumeration of all connected subgraphs.
  3. Methodologies for Noise and Gross Error Detection using Univariate Signal-Based Approaches in Industrial Application
  4. Enabling Road Condition Monitoring with an on-board Vehicle Sensor Setup
  5. Efficient and accurate ℓ p-norm multiple kernel learning
  6. Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
  7. Different complex word problems require different combinations of cognitive skills
  8. Semantic Parsing for Knowledge Graph Question Answering with Large Language Models
  9. Control of the inverse pendulum based on sliding mode and model predictive control
  10. Clustering Hydrological Homogeneous Regions and Neural Network Based Index Flood Estimation for Ungauged Catchments
  11. Latent structure perceptron with feature induction for unrestricted coreference resolution
  12. Selecting and Adapting Methods for Analysis and Design in Value-Sensitive Digital Social Innovation Projects: Toward Design Principles
  13. Modeling Effective and Ineffective Knowledge Communication and Learning Discourses in CSCL with Hidden Markov Models
  14. Problem structuring for transitions
  15. Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System
  16. Spatial mislocalization as a consequence of sequential coding of stimuli
  17. DialogueMaps: Supporting interactive transdisciplinary dialogues with a web-based tool for multi-layer knowledge maps
  18. Real-time RDF extraction from unstructured data streams
  19. A Multivariate Method for Dynamic System Analysis
  20. On the Decoupling and Output Functional Controllability of Robotic Manipulation
  21. Analysis of long-term statistical data of cobalt flows in the EU
  22. Supporting the Development and Implementation of a Digitalization Strategy in SMEs through a Lightweight Architecture-based Method
  23. FFTSMC with Optimal Reference Trajectory Generated by MPC in Robust Robotino Motion Planning with Saturating Inputs
  24. Retest effects in matrix test performance