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 propose the first real-time system for the egocentric estimation of 3D human body pose
in a wide range of unconstrained everyday activities. This setting has a unique set of …

Air-writing is the process of writing characters or words in free space using finger or hand
movements without the aid of any hand-held device. In this work, we address the problem of …

Head-mounted device-based human-computer interaction often requires egocentric
recognition of hand gestures and fingertips detection. In this paper, a unified approach of …

The robot behavior strategy is considered as a crucial part in the human-following task to
help the robot maintain an appropriate distance and orientation to the selected target person …

For people with visual impairments, information encoded in a visual format creates certain
barriers. To alleviate this, a large volume of research has been conducted in the field of …

For the skeleton-based gesture recognition, graph convolutional networks (GCNs) have
achieved remarkable performance since the human skeleton is a natural graph. However …

Near-surface multi-finger tracking (NMFT) technology expands the input space of
touchscreens by enabling novel interactions such as mid-air and finger-aware interactions …

Purpose To follow and maintain an appropriate distance to the selected target person (STP),
the mobile robot is required to have capabilities: the human detection and tracking and an …

Text entry takes an important role of effectively delivering the intention of users to computers,
where physical and soft keyboards have been widely used. However, with the recent trends …