Human activity detection using various sources of data is an important problem due to its
application in various domains, such as health-care, elderly care, security/safety, etc …

Recent advances in wireless sensors for personal healthcare allow to recognise human real-
time activities with mobile devices. While the analysis of those datastream can have many …

Smart spaces equipped with sensors and combined with learning are becoming
increasingly popular for many ubiquitous computing applications. However, application …

Tracking the activities of elderly people is an important issue. To detect emergencies such
as falls so that loved ones can promptly handle them when they are not at home. In this …

IoT enabled smart environments typically include large number of simple sensors that are
designed to detect specific events. In many environments, however, not one but …

In this paper, we present a survey of emerging technologies for non-invasive human activity,
behavior, and physiological sensing. The survey focuses on technologies that are close to …

The rapid growing of the population age in industrialized societies calls for advanced tools
to continuous monitor the activities of people. The goals of those tools are usually to support …

With recent evolvement in smart sensing systems, sensor-based activity recognition has
endured numerous research studies that mainly emphasize classifying pre-segmented data …

With the prevalence of various sensors and smart devices in people's daily lives, numerous
types of information are being sensed. While using such information provides critical and …

With the advancement of wireless technologies and sensing methodologies, many studies
have shown the success of re-using wireless signals (eg, WiFi) to sense human activities …