Article Title,Year,Volume,Issue,Page Range,Author
Unified framework for triaxial accelerometer-based fall event detection and classification using cumulants and hierarchical decision tree classifier,2015,2,4,101-107,Singh
Automatic classifier based on heart rate variability to identify fallers among hypertensive subjects,2015,2,4,89-94,Melillo
Review: Are we stumbling in our quest to find the best predictor? Over-optimism in sensor-based models for predicting falls in older adults,2015,2,4,79-88,Lovell
Editorial: "The lack of specificity in fall risk assessment a limited effectiveness in fall prediction and the inability to reliably monitor spontaneous falls in real life conditions with un-obstructive technological solutions remain key unsolved problems.",2015,2,4,78,Stagni
Reliability of the step phase detection using inertial measurement units: pilot study,2015,2,2,58-63,Fujimoto
Bridging the gap between real-life data and simulated data by providing a highly realistic fall dataset for evaluating camera-based fall detection algorithms,2016,3,1,6-11,Debard
Health and rescue services management system during a crisis event,2016,3,3,205-211,Kyriacou
Fuzzy logic-based risk of fall estimation using smartwatch data as a means to form an assistive feedback mechanism in everyday living activities,2016,3,4,263-268,Hadjileontiadis
The challenge of safe driving among elderly drivers,2018,5,1,45-48,Lotan