Background Globally, populations are aging with increasing life spans. The normal aging
process and the resulting disabilities increase fall risks. Falls are an important cause of …

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 …

With the increase of the elderly population, the phenomenon of the elderly falling at home or
out is more and more common. Therefore, fall detection is of great significance for the health …

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 …

Exploratory data analysis (EDA) using data clustering is extremely important for
understanding the basic characteristics of a novel data set before developing complex …

Clustering tendency assessment, which aims to deduce if a dataset contains any cluster
structure, and, if it does, how many clusters it has, is a critical problem in exploratory data …

To reduce the risk of elderly people falling in a private room without relying on a closed‐
circuit television system that results in serious privacy and trust concerns, a fall monitoring …

Estimation of number of segments in an image attracts a formidable interest among the
research community. The number of segments in an image is estimated by calculating the …

Untitled Page 1 Page 2 Page 3 Page 4 АННОТАЦИЯ Магистерская диссертация,
состоит из 71 страниц, включая 32 рисунка, 6 таблиц, 30 ссылка на источники …

VAT family of algorithms). Various members of the VAT family have been applied to many
applications, including image segmentation, urban mobility, transportation, speech …