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 …

Hands appear very often in egocentric video, and their appearance and pose give important
cues about what people are doing and what they are paying attention to. But existing work in …

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 …

Egocentric vision is an emerging field of computer vision that is characterized by the
acquisition of images and video from the first person perspective. In this paper we address …

Visual affordance grounding aims to segment all possible interaction regions between
people and objects from an image/video, which benefits many applications, such as robot …

Robust segmentation of hands in a cluttered environment for hand gesture recognition has
remained a challenge in computer vision. In this work, a two-stage gesture recognition …