Fall Direction Detection using the Components of Acceleration Vector and Orientation Sensor on the Smartphone Environment
Woosik Lee, Teuk-Seob Song, Jong-Hoon Youn · Journal of Korea Multimedia Society · 2015
Falls are the main cause of serious injuries and accidental deaths in people over the age of 65. Due to widespread adoption of smartphones, there has been a growing interest in the use of smartphones for detecting human behavior and activities. Modern smartphones are equipped with a wide variety of sensors such as an accelerometer, a gyroscope, camera, GPS, digital compass and microphone. In this paper, we introduce a new method that determines the fall direction of human subjects by analyzing the three axis components of acceleration vector.