Visual lifelogging consists of acquiring images that capture the daily experiences of the user
by wearing a camera over a long period of time. The pictures taken offer considerable …

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 …

We address the task of jointly determining what a person is doing and where they are
looking based on the analysis of video captured by a headworn camera. We propose a …

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

Three-dimensional hand gesture recognition has attracted increasing research interests in
computer vision, pattern recognition, and human-computer interaction. The emerging depth …

In the last decades there has been a tremendous increase in demand for Assistive
Technologies (AT) useful to overcome functional limitations of individuals and to improve …

What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …

This paper proposes a gesture recognition method using convolutional neural networks. The
procedure involves the application of morphological filters, contour generation, polygonal …

We present a new computational model for gaze prediction in egocentric videos by
exploring patterns in temporal shift of gaze fixations (attention transition) that are dependent …

We address the task of jointly determining what a person is doing and where they are
looking based on the analysis of video captured by a headworn camera. To facilitate our …