30 research outputs found
Evidential Reasoning for Multimodal Fusion in Human Computer Interaction
Fusion of information from multiple modalities in Human Computer Interfaces
(HCI) has gained a lot of attention in recent years, and has far reaching
implications in many areas of human-machine interaction. However, a major
limitation of current HCI fusion systems is that the fusion process tends to
ignore the semantic nature of modalities, which may reinforce, complement or
contradict each other over time. Also, most systems are not robust in
representing the ambiguity inherent in human gestures. In this work, we
investigate an evidential reasoning based approach for intelligent multimodal
fusion, and apply this algorithm to a proposed multimodal system consisting of
a Hand Gesture sensor and a Brain Computing Interface (BCI). There are three
major contributions of this work to the area of human computer interaction.
First, we propose an algorithm for reconstruction of the 3D hand pose given a
2D input video. Second, we develop a BCI using Steady State Visually Evoked
Potentials, and show how a multimodal system consisting of the two sensors can
improve the efficiency and the complexity of the system, while retaining the
same levels of accuracy. Finally, we propose an semantic fusion algorithm based
on Transferable Belief Models, which can successfully fuse information from
these two sensors, to form meaningful concepts and resolve ambiguity. We also
analyze this system for robustness under various operating scenarios
Advances and Applications of DSmT for Information Fusion
This book is devoted to an emerging branch of Information Fusion based on new approach for modelling the fusion problematic when the information provided by the sources is both uncertain and (highly) conflicting. This approach, known in literature as DSmT (standing for Dezert-Smarandache Theory), proposes new useful rules of combinations
Women in Artificial intelligence (AI)
This Special Issue, entitled "Women in Artificial Intelligence" includes 17 papers from leading women scientists. The papers cover a broad scope of research areas within Artificial Intelligence, including machine learning, perception, reasoning or planning, among others. The papers have applications to relevant fields, such as human health, finance, or education. It is worth noting that the Issue includes three papers that deal with different aspects of gender bias in Artificial Intelligence. All the papers have a woman as the first author. We can proudly say that these women are from countries worldwide, such as France, Czech Republic, United Kingdom, Australia, Bangladesh, Yemen, Romania, India, Cuba, Bangladesh and Spain. In conclusion, apart from its intrinsic scientific value as a Special Issue, combining interesting research works, this Special Issue intends to increase the invisibility of women in AI, showing where they are, what they do, and how they contribute to developments in Artificial Intelligence from their different places, positions, research branches and application fields. We planned to issue this book on the on Ada Lovelace Day (11/10/2022), a date internationally dedicated to the first computer programmer, a woman who had to fight the gender difficulties of her times, in the XIX century. We also thank the publisher for making this possible, thus allowing for this book to become a part of the international activities dedicated to celebrating the value of women in ICT all over the world. With this book, we want to pay homage to all the women that contributed over the years to the field of AI
PSA 2016
These preprints were automatically compiled into a PDF from the collection of papers deposited in PhilSci-Archive in conjunction with the PSA 2016