Human biomechanics and gait form an integral part of life. The gait analysis involves a large
number of interdependent parameters that were difficult to interpret due to a vast amount of …

Human activity detection within smart homes is one of the basis of unobtrusive wellness
monitoring of a rapidly aging population in developed countries. Most works in this area use …

This study aimed to construct a novel multimodal model by fusing different
electroencephalogram (EEG) data sources, which were under neutral, negative and positive …

Falls are the leading cause of injury and death in elderly individuals. Unfortunately, fall
detectors are typically based on wearable devices, and the elderly often forget to wear them …

Fall detection is a major challenge in the public health care domain, especially for the
elderly, and reliable surveillance is a necessity to mitigate the effects of falls. The technology …

Advances in wireless communication technologies, such as wearable and implantable
biosensors, along with recent developments in the embedded computing area are enabling …

Falls and fall-related injuries are major incidents, especially for elderly people, which often
mark the onset of major deterioration of health. More than one-third of home-dwelling people …

The increase in elderly population especially in the developed countries and the number of
elderly people living alone can result in increased healthcare costs which can cause a huge …

As an essential subfield of context awareness, activity awareness, especially daily activity
monitoring and fall detection, plays a significant role for elderly or frail people who need …

The real-time health monitoring system is a promising body area network application to
enhance the safety of firefighters when they are working in harsh and dangerous …