The hidden Markov models are statistical models used in many real-world applications and
communities. The use of hidden Markov models has become predominant in the last …

Egocentric vision (aka first-person vision–FPV) applications have thrived over the past few
years, thanks to the availability of affordable wearable cameras and large annotated …

Gesture is a natural interface in human-computer interaction, especially interacting with
wearable devices, such as VR/AR helmet and glasses. However, in the gesture recognition …

Video-based recognition of activities of daily living (ADLs) is being used in ambient assisted
living systems in order to support the independent living of older people. However, current …

Facing the gradual ageing society, elderly people living independently are in need of
serious attention. In order to assist them to live in a safer environment, the increasing cost of …

We describe a framework for lifelogging monitoring in the scope of dementia care, based on
activity recognition from egocentric vision and semantic context-enrichment. As pure vision …

This paper presents a novel open-source browser plug-in that aims at supporting journalists
and news professionals in their efforts to verify user-generated video. The plug-in, which is …

Egocentric videos are becoming popular since the possibility to observe the scene flow from
the user's point of view (First Person Vision). Among the different applications of egocentric …

In order to improve healthcare services and support clinical professionals, it is important to
develop the unobstructive and automatic ADLs monitoring system for healthcare …

Exergames have beneficial effects on the player's motivation to exercise. However, many
current games lack accurate full-body motion recognition, resulting in players not performing …