Unobtrusive Detection of Respiratory Rate through UWB-Sensing for Applications of Ambient Assisted Living
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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IADIS International Press: Applied Computing 2012. IADIS Press, 2012. p. 91-98.
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - Unobtrusive Detection of Respiratory Rate through UWB-Sensing for Applications of Ambient Assisted Living
AU - Busch, Björn-Helge
AU - Nguendon, Hervé
AU - Welge, Ralph
N1 - Conference code: 9
PY - 2012/10/19
Y1 - 2012/10/19
N2 - 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.
AB - 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.
KW - Engineering
KW - Ultra-Wideband Sensing
KW - Intelligence System
KW - Sensor Network
KW - Self Organisation System
KW - Ontology Engineering Process
KW - Health sciences
KW - Ambient Assisted Living
KW - Detection of Health Parameters
M3 - Article in conference proceedings
SN - 978-989-8533-14-2
SP - 91
EP - 98
BT - IADIS International Press
PB - IADIS Press
T2 - IADIS International Conference on Applied Computing 2012
Y2 - 19 October 2012 through 21 October 2012
ER -