We present a fast mid-air gesture keyboard for head-mounted optical see-through
augmented reality (OST AR) that supports users in articulating word patterns by merely …

In this paper we examine the task of key gesture spotting: accurate and timely online
recognition of hand gestures. We specifically seek to address two key challenges faced by …

In this paper, we study the problem of one-shot skeleton-based action recognition, which
poses unique challenges in learning transferable representation from base classes to novel …

The eventual success of many AR and VR intelligent interactive systems relies on the ability
to collect user motion data at large scale. Realistic simulation of human motion trajectories is …

In recent years, skeleton-based human action recognition has garnered significant research
attention, with proposed recognition or segmentation methods typically validated on large …

The need to support efficient text input in virtual reality continues to attract significant
research attention. However, much of this research understandably focuses exclusively on …

Convolutional neural networks (CNN) have provided great advances for the task of sign
language recognition (SLR). However, recurrent neural networks (RNN) in the form of long …

Static machine learning methods in gesture recognition assume that training and test data
come from the same underlying distribution. However, in real-world applications involving …

Background: Segmenting computed tomography (CT) is crucial in various clinical
applications, such as tailoring personalized cardiac ablation for managing cardiac …

Conventional desktop applications provide users with hotkeys as shortcuts for triggering
different functionality. In this paper we consider what constitutes an effective parallel to …