Classification of Daily Life Activities for Human Fall Detection: A Systematic Review of the Techniques and Approaches

Abstract

Human fall detection systems are an important part of assistive technology, since daily living assistance are very often required for many people in today’s aging population. Human fall detection systems play an important role in our daily life, because falls are the main obstacle for elderly people to live independently and it is also a major health concern due to aging population. There has been several researches conducted using variety of sensors to develop systems to accurately classify unintentional human fall from other activities of daily life. The three basic approaches used to develop human fall detection systems include some sort of wearable devices, ambient based devices or non-invasive vision based devices using live cameras. This study reviewed the techniques and approaches employed to device systems to detect unintentional falls and classified them based on the approaches employed and sensors used.