Develo** successful sign language recognition, generation, and translation systems
requires expertise in a wide range of fields, including computer vision, computer graphics …

Sign language (SL) avatar systems aid communication between the hearing and deaf
communities. Despite technological progress, there is a lack of a standardized avatar …

This paper presents an innovative large language model (LLM)-based robotic system for
enhancing multi-modal human-robot interaction (HRI). Traditional HRI systems relied on …

Accessible tourism seeks to integrate people with impaired abilities--eg mobility, vision,
hearing--in travel and leisure activities. The attention to this field has been growing in the …

Understanding the intentions of robots is essential for natural and seamless human-robot
collaboration. Ensuring that robots have means for non-verbal communication is a basis for …

Sign language is the primary communication medium of the aurally handicapped
community. Often, a sign gesture is mapped to a word or a phrase in a spoken language and …

We are releasing a dataset containing videos of both fluent and non-fluent signers using
American Sign Language (ASL), which were collected using a Kinect v2 sensor. This …

Motion capture (mocap) provides highly precise data of human movement which can be
used for empirical analysis and virtual human animation. In this paper, we describe a corpus …

Abstract Sign Languages (SLs) are the visuo-gestural languages practised by the deaf
communities. Research on SLs requires to build, to analyse and to use corpora. The aim of …

Motion capture of signs provides unique challenges in the field of multimodal data collection.
The dense packaging of visual information requires high fidelity and high bandwidth of the …