Ambient Activity Monitoring for Medical Applications in Multi-Person Households

Sebastian Müller

8th International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Ambient Activity Monitoring for Medical Applications in Multi-Person Households

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.pervasivehealth.2014.255794,
    author={Sebastian M\'{y}ller},
    title={Ambient Activity Monitoring for Medical Applications in Multi-Person Households},
    proceedings={8th International Conference on Pervasive Computing Technologies for Healthcare},
    publisher={ICST},
    proceedings_a={PERVASIVEHEALTH},
    year={2014},
    month={7},
    keywords={multi target tracking multi hypothesis tracking ambient assisted living activity monitoring ambient sensors},
    doi={10.4108/icst.pervasivehealth.2014.255794}
}

Sebastian Müller
Year: 2014
Ambient Activity Monitoring for Medical Applications in Multi-Person Households
PERVASIVEHEALTH
ACM
DOI: 10.4108/icst.pervasivehealth.2014.255794

Sebastian Müller^,*

*Contact email: sebastian.mueller@offis.de

Abstract

This paper outlines doctoral research towards automated activity monitoring in the home, including past results and future plans. The aim of this research is to understand the possibilities and limitations of automated, or “unsupervised”, approaches to ambient activity monitoring. Numerous applications of ambient activity monitoring, from care assessments to rehabilitation monitoring, have been developed in the past, but most approaches require complex calibration routines or are limited to single-person households. Furthermore, the requirements and theoretical limits of these approaches, such as sensor density and inhabitant-sensor-ratio, have not been studied.

Keywords: multi target tracking multi hypothesis tracking ambient assisted living activity monitoring ambient sensors

Published: 2014-07-23
Publisher: ICST

: http://dx.doi.org/10.4108/icst.pervasivehealth.2014.255794