Detection of falls among the elderly by a floor sensor using the electric near field.
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%.
Department of Electronics, Aalto University, 02150 Espoo, Finland. henry.rimminen@tkk.fi
Henry
H
Rimminen
Juha
J
Lindström
Matti
M
Linnavuo
Raimo
R
Sepponen
D000058:Accidental Falls; D000368:Aged; D001499:Bayes Theorem; D004574:Electromagnetic Fields; D005260:Female; D005430:Floors and Floorcoverings; D006801:Humans; D008297:Male; D008390:Markov Chains; D008954:Models, Biological; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity