ALGORITHM TO DETECT EPISOIDES OF FALLING BASED ON A GRID OF FLOOR SENSORS

Stephanie Nguyen; Douglas Dow; Michelle Nguyen

8th International Conference on Body Area Networks

Research Article

ALGORITHM TO DETECT EPISOIDES OF FALLING BASED ON A GRID OF FLOOR SENSORS

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.bodynets.2013.253717,
    author={Stephanie Nguyen and Douglas Dow and Michelle Nguyen},
    title={ALGORITHM TO DETECT EPISOIDES OF FALLING BASED ON A GRID OF FLOOR SENSORS},
    proceedings={8th International Conference on Body Area Networks},
    publisher={ICST},
    proceedings_a={BODYNETS},
    year={2013},
    month={10},
    keywords={grid floor sensors old age frailty alert labview},
    doi={10.4108/icst.bodynets.2013.253717}
}

Stephanie Nguyen
Douglas Dow
Michelle Nguyen
Year: 2013
ALGORITHM TO DETECT EPISOIDES OF FALLING BASED ON A GRID OF FLOOR SENSORS
BODYNETS
ACM
DOI: 10.4108/icst.bodynets.2013.253717

Stephanie Nguyen¹^,*, Douglas Dow¹, Michelle Nguyen¹

1: Department of Biomedical Engineering Wentworth Institute of Technology

*Contact email: nguyens2@wit.edu

Abstract

The risk of falling and becoming injured increases with old age. A system to monitor human activity and detect episodes of a prolonged fall could be used to access whether an alert should be issued for medical help. This project is developing software modules for analysis of data from a grid of weight sensors in the floor. The algorithm analyzes recent activity on each node to determine if weight has recently increased. Then regions consisting of adjacent nodes with recently increased weights are determined. These regions will be analyzed to determine whether they fit a profile of a fallen state.

Keywords: grid floor sensors old age frailty alert labview

Published: 2013-10-29
Publisher: ICST

: http://dx.doi.org/10.4108/icst.bodynets.2013.253717