Humans communicate with each other using abstract signs and symbols. While the cooperation
between humans and machines can be a powerful tool for solving complex or difficult …

Automatic speech recognition and spoken dialogue systems have made great advances
through the use of deep machine learning methods. This is partly due to greater computing …

Signers compose sign language phonemes that enable communication by combining
phonological parameters such as handshape, orientation, location, movement, and non-manual …

Traditionally, sign language resources have been collected in controlled settings for specific
tasks involving supervised sign classification or linguistic studies accompanied by specific …

Ensuring safety levels on roads is an imperative task for road authorities. Significant amounts
of time and money are spent on performing road inspections every year. In order to ensure …

This paper presents preliminary investigations on the evolution of indirect communication
between two agents. In the future, behaviours of robots in the RoboCup 1 competition should …

Evolution of indirect communication between two embodied agents is the research topic
addressed in this thesis. Indirect communication is a niche that should be more common in the …

This work takes a look at data models often used in digital twins and presents preliminary
results specifically from surface reconstruction and semantic segmentation models trained …

Smart cities are an opportunity to overcome the concerns regarding the rapid increase in
highly dense populated urban areas. Using ICT, smart cities make urban areas greener, …

Access to sign language data is far from adequate. We show that it is possible to collect the
data from social networking services such as TikTok, Instagram, and YouTube by applying …