This paper presents an overview of state-of-the-art methods in activity recognition using
semantic features. Unlike low-level features, semantic features describe inherent …

The exploration of how we as human beings react to the world and interact with it and each
other remains one of the greatest scientific challenges. The ability to recognize emotional …

Human activity recognition has been a popular research area concerned with identifying the
specific movement or action of a person based on variety of sensor data. Conventional …

Skeleton-based human activity recognition has attracted lots of attention due to its wide
range of applications. Skeleton data includes two or three dimensional coordinates of body …

Intelligent environments combine physical spaces with pervasive computing technologies to
provide context-aware, people-centred, and ambient-assisted strengthening of the activities …

Providing accurate/suitable information on behaviors in smart environments is a challenging
and crucial task in pervasive computing where context-awareness and pro-activity are of …

This paper proposes a goal recognition and planning algorithm, HTN-GRP-PO, to enable
intelligent assistant agents to recognize older adults' goals and reason about desired further …

It is worthwhile to incorporate human knowledge with conventional machine learning
approaches for big data analytics. Focusing on big video data understanding, this paper …

Activity modelling is required to support activity recognition and further to provide activity
assistance. In knowledge driven activity modelling, though the time and location is known …

The quality of parent-child interactions is foundational to children's social-emotional and
cognitive development, as well as their lifelong mental health. The Parent-Child Interaction …