Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …

The last five years marked a surge in interest for and use of smart robots, which operate in
dynamic and unstructured environments and might interact with humans. We posit that well …

Lack of trust is one of the main obstacles standing in the way of taking full advantage of the
benefits artificial intelligence (AI) has to offer. Most research on trust in AI focuses on …

The role of robots in society keeps expanding and diversifying, bringing with it a host of
issues surrounding the relationship between robots and humans. This introduction to human …

Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …

With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …

Facial expression recognition suffers under realworldconditions, especially on unseen
subjects due to highinter-subject variations. To alleviate variations introduced bypersonal …

A training process for facial expression recognition is usually performed sequentially in three
individual stages: feature learning, feature selection, and classifier construction. Extensive …

Aging population ratios are rising significantly. Health monitoring systems (HMS) in smart
environments have evolved rapidly to become a viable alternative to traditional healthcare …

This review article surveys extensively the current progresses made toward video-based
human activity recognition. Three aspects for human activity recognition are addressed …