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Article

Real-Life/Real-Time Elderly Fall Detection with a Triaxial Accelerometer

1
Facultad de Ingeniería, Institución Universitaria ITM, Cra. 65, 98A-75 Medellín, Colombia
2
SISTEMIC, Facultad de Ingeniería, Universidad de Antiquia UDEA, Calle 70, No. 52-21 Medellín, Colombia
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(4), 1101; https://doi.org/10.3390/s18041101
Received: 8 March 2018 / Revised: 2 April 2018 / Accepted: 3 April 2018 / Published: 5 April 2018
The consequences of a fall on an elderly person can be reduced if the accident is attended by medical personnel within the first hour. Independent elderly people often stay alone for long periods of time, being in more risk if they suffer a fall. The literature offers several approaches for detecting falls with embedded devices or smartphones using a triaxial accelerometer. Most of these approaches have not been tested with the target population or cannot be feasibly implemented in real-life conditions. In this work, we propose a fall detection methodology based on a non-linear classification feature and a Kalman filter with a periodicity detector to reduce the false positive rate. This methodology requires a sampling rate of only 25 Hz; it does not require large computations or memory and it is robust among devices. We tested our approach with the SisFall dataset achieving 99.4% of accuracy. We then validated it with a new round of simulated activities with young adults and an elderly person. Finally, we give the devices to three elderly persons for full-day validations. They continued with their normal life and the devices behaved as expected. View Full-Text
Keywords: triaxial accelerometer; wearable devices; fall detection; mobile health-care; SisFall; Kalman filter triaxial accelerometer; wearable devices; fall detection; mobile health-care; SisFall; Kalman filter
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MDPI and ACS Style

Sucerquia, A.; López, J.D.; Vargas-Bonilla, J.F. Real-Life/Real-Time Elderly Fall Detection with a Triaxial Accelerometer. Sensors 2018, 18, 1101. https://doi.org/10.3390/s18041101

AMA Style

Sucerquia A, López JD, Vargas-Bonilla JF. Real-Life/Real-Time Elderly Fall Detection with a Triaxial Accelerometer. Sensors. 2018; 18(4):1101. https://doi.org/10.3390/s18041101

Chicago/Turabian Style

Sucerquia, Angela, José D. López, and Jesús F. Vargas-Bonilla. 2018. "Real-Life/Real-Time Elderly Fall Detection with a Triaxial Accelerometer" Sensors 18, no. 4: 1101. https://doi.org/10.3390/s18041101

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