Title :
Detection of falls among the elderly by a floor sensor using the electric near field
Author :
Rimminen, Henry ; Lindstrom, Juha ; Linnavuo, Matti ; Sepponen, Raimo
Author_Institution :
Dept. of Electron., Aalto Univ., Espoo, Finland
Abstract :
We present a new fall-detection method using a floor sensor based on near-field imaging. The test floor had a resolution of 9×16. The shape, size, and magnitude of the patterns are used for classification. A test including 650 events and ten people yielded a sensitivity of 91% and a specificity of 91%.
Keywords :
biomedical equipment; geriatrics; handicapped aids; sensors; elderly; electric near field; fall-detection method; floor sensor; near-field imaging; Cameras; Computer vision; Detectors; Feature extraction; Image sensors; Medical services; Pattern recognition; Senior citizens; Sensor systems; Testing; Adaptive filters; electric field measurement; fall detection; floor sensor; pattern recognition; Accidental Falls; Aged; Bayes Theorem; Electromagnetic Fields; Female; Floors and Floorcoverings; Humans; Male; Markov Chains; Models, Biological; Monitoring, Ambulatory; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
DOI :
10.1109/TITB.2010.2051956
