Due to the ever-growing powers in sensing, computing, communicating and storing, mobile
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …

Activity detection and classification are very important for autonomous monitoring of humans
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …

Background As life expectancy grows, so do the challenges of caring for an aging
population. Older adults, including people with dementia, want to live independently and …

Human activity recognition is an important area of machine learning research as it has many
utilization in different areas such as sports training, security, entertainment, ambientassisted …

Maintenance of ever-expanding road networks all over the world is a critical task and regular
monitoring of the road surface is imperative for successful maintenance. Existing monitoring …

Featured Application The research work proposes an iris segmentation and recognition
method “FM net” that can reduce computational complexity for clinical investigations …

The various activities of human movements have been discussed for several years, such as
sports activities, daily life activities, and so on. Their detection and classification have given …

Automatic recognition of activities of daily living (ADL) can be applied to realize services to
support user life such as elderly monitoring, energy-saving home appliance control, and …

Population aging is one of the most difficult challenges in the next years. The increase of life
expectancy is one of the most important human achievements in the 21st century. Despite …

The advance in Internet of Things technology has increased the opportunities for a
healthcare system design, which is an urgent need owing to the growth in population among …