Wearable Smart Phone Sensor Fall Detection System

One of the most important measures that developed countries need along with economic success is provision contemporary health services for elderly. Inadequate care elderly can put them in danger falls serious injury or even death. When an older person due to illness, immediate lack may lead In this paper, a wearable smart phone sensor fall event detection system introduced. The proposed utilizes real-time raw sensory accelerometer, gyroscope and gravity data collected from AndroSensor App then processed applied machine learning classifier. positioned at waistline yield accurate results. trained detect common activities, like sleeping, walking, sitting, jogging, events, such as falling any direction. An full accuracy almost accomplished using Support Vector Machine classifier comparison other classifiers addressed by previous research works. Nevertheless, requires more validation people under supervision caregivers controlled environment.