Falling is among the most damaging event elderly people may experience. With the ever-
growing aging population, there is an urgent need for the development of fall detection …

Emergency situations associated with falls are a serious concern for an aging society. Yet
following the recent development within ICT, a significant number of solutions have been …

Falls have become a common health problem among older adults. In previous study, we
proposed an acoustic fall detection system (acoustic FADE) that employed a microphone …

This paper describes the ongoing work of detecting falls in independent living senior
apartments. We have developed a fall detection system with Doppler radar sensor and …

We present an approach for activity state recognition implemented on data collected from
various sensors-standard web cameras under normal illumination, web cameras using …

Falls have been widely recognized as one of the most dangerous incidents for the elderly
and other people with mobility limitations. This problem has attracted wide scientific interest …

Mobile devices, tablets, smart phones, and now wearable technologies have changed our
world, including how we perceive and interact with others and our environment. This change …

Early fall detection imposes a challenge for preventing life-threatening conditions to the
health in geriatrics. As per the World Health Organization, around that half of total elderly …

We propose an intelligent system to detect human fall events using a physics-based
myoskeletal simulation, detecting falls by comparing the simulation with a fall velocity profile …

The development of big data, machine learning, and the Internet of Things has led to rapid
advances in the research field of Active and Assisted Living (AAL). A human is placed in the …