Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

Abstract Body Sensor Networks (BSNs) have emerged as a revolutionary technology in
many application domains in health-care, fitness, smart cities, and many other compelling …

Driven by a wide range of real-world applications, significant efforts have recently been
made to explore device-free human activity recognition techniques that utilize the …

Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

Abstract Wireless Body Sensor Network (BSNs) are wearable sensors with varying sensing,
storage, computation, and transmission capabilities. When data is obtained from multiple …

The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …

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

Physical activity recognition using embedded sensors has enabled many context-aware
applications in different areas, such as healthcare. Initially, one or more dedicated wearable …

Recent research has devoted significant efforts on the utilization of WiFi signals to recognize
various human activities. An individual's limb motions in the WiFi coverage area could …

The ability to automatically recognize a person's behavioral context can contribute to health
monitoring, aging care, and many other domains. Validating context recognition in the wild is …