Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

Wearable devices can be used for monitoring vital physical and physiological signs
remotely, as well as for interacting with computers. Widespread adoption of wearables is …

Recognition of human movements with radar for ambient activity monitoring is a developed
area of research that yet presents outstanding challenges to address. In real environments …

This paper presents a framework based on multilayer bi-LSTM network (bidirectional Long
Short-Term Memory) for multimodal sensor fusion to sense and classify daily activities' …

The aim of radio-frequency (RF) sensing for assisted living is to deliver automatic support
and monitoring for older people in their homes, impaired patients living independently …

This article covers radar signal processing for sensing in the context of assisted living (AL).
This is presented through three example applications: human activity recognition (HAR) for …

The use of wearable equipment and sensing devices to monitor physical activities, whether
for well-being, sports monitoring, or medical rehabilitation, has expanded rapidly due to the …

This paper presents different information fusion approaches to classify human gait patterns
and falls in a radar sensors network. The human gaits classified in this work are both …

Fall events among older adults are a serious concern, having an impact on their health and
well-being. The development of the Internet of Things (IoT) over the last years has led to the …

Radar is an extremely valuable sensing technology for detecting moving targets and
measuring their range, velocity, and angular positions. When people are monitored at home …