Unobtrusive Detection of Respiratory Rate through UWB-Sensing for Applications of Ambient Assisted Living

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

This contribution deals with an innovative approach for non-stigmatizing and continuous acquisition of vital signs for applications in the context of Ambient Assisted Living – AAL. Utilizing UWB-sensor components, the aimed vital sign acquisition is based on a mixture of collaborative techniques of preprocessing, feature extraction and information fusion for the treatment of multidimensional reflection data sets from the UWB-sensor. After a brief introduction to the ap¬plication context including specific user demands, physical fundamentals of measurement and utilized electronics, the applied principles of spatial and temporal data mining are described. Hereafter, the implementation within an AAL-infra¬structure is explained and tested in a real world scenario resp. in our living lab mapping a typical residential of a senior citizen. Additionally, preliminary measurement campaigns prove accuracy and robustness of our approach and our further improvements according to certain limitations caused by sensor topology. Discussion and outlook close the article.
Translated title of the contributionUnaufdringliche Erfassung der Atemfrequenz durch UWB-Sensorik für Anwendungen aus dem Bereich Ambient Assisted Living
Original languageEnglish
Title of host publicationIADIS International Press : Applied Computing 2012
Number of pages10
PublisherIADIS Press
Publication date19.10.2012
Pages91-98
ISBN (print)978-989-8533-14-2
Publication statusPublished - 19.10.2012
EventIADIS International Conference on Applied Computing 2012 - Madrid, Spain
Duration: 19.10.201221.10.2012
Conference number: 9
http://www.iadisportal.org/digital-library/iadis-international-conference-applied-computing-ac

    Research areas

  • Engineering - Ultra-Wideband Sensing, Intelligence System, Sensor Network, Self Organisation System, Ontology Engineering Process
  • Health sciences - Ambient Assisted Living, Detection of Health Parameters