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 …

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 …

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

The emergence of new wearable technologies, such as action cameras and smart glasses,
has increased the interest of computer vision scientists in the first person perspective …

This paper proposes a novel human-computer interaction system exploiting gesture
recognition. It is based on the combined usage of an head-mounted display and a multi …

Background Current upper extremity outcome measures for persons with cervical spinal
cord injury (cSCI) lack the ability to directly collect quantitative information in home and …

Hand detection is one of the most explored areas in Egocentric Vision Video Analysis for
wearable devices. Current methods are focused on pixel-by-pixel hand segmentation, with …

Data produced by wearable sensors is key in contexts such as performance enhancement
and training help for sports and fitness, continuous monitoring for aging people and for …

In this paper, we focus on egocentric action anticipation from videos, which enables various
applications, such as helping intelligent wearable assistants understand users' needs and …

Given a video captured from a first person perspective and the environment context of where
the video is recorded, can we recognize what the person is doing and identify where the …