Falls are one of the greatest risks for older adults living alone at home. This paper presents a
novel visual-based fall detection approach to support independent living for older adults …

Falls are one of the greatest risks for the older adults living alone at home. This paper
presents a novel visual-based fall detection approach to support independent living for older …

Falls are a major cause of fatal injury for the elderly population. To improve the quality of
living for seniors, a wide range of monitoring systems with fall detection functionality have …

Falls are an important healthcare problem for vulnerable persons like seniors. Response to
potential emergencies can be fastened timely detection and classification of falls. This paper …

Recognition of human movements is very useful for several applications, such as smart
rooms, interactive virtual reality systems, human detection and environment modeling. The …

Falls are one of the major health hazards among the aging population aged 65 and above,
which could potentially result in a significant hindrance to their independent living. With the …

Automatic human fall detection is one of the major components in the elderly monitoring
system. Detection of human fall in a smart home environment can be utilized as a means to …

More than thirty percent of persons over 65 years fall at least once a year and are often not
able to get up again unaided. The lack of timely aid can lead to severe complications such …

Falls have caught great harm to the elderly living alone at home. This paper presents a
novel visual-based fall detection approach by Dual-Channel Feature Integration. The …

Unintentional falls are a major public health concern for many communities, especially with
aging populations. There are various approaches used to classify human activities for fall …