An expanding corpus of research details the relationship between functional magnetic resonance imaging (fMRI) measures and neuronal network oscillations. Typically, integrated electroencephalography and fMRI, or parallel magnetoencephalography (MEG) and fMRI are used to draw inference about the consanguinity of BOLD and electrical measurements. However, there is a relative dearth of information...

The Web is becoming more and more a wide software framework on which each one can compose and use contents, software applications and services. It can offer adequate computational resources to manage the complexity implied by the use of the five senses when involved in human machine interaction. The core of the paper describes how SOA (Service Oriented Architecture) can support multimodal inter...

Pleural malignancies constitute either primary pleural malignancies, such as malignant pleural mesothelioma (MPM), or secondary pleural tumours, either from pleural metastasis or direct extension of adjacent tumours. Mesothelioma is a rare aggressive tumour of the pleural surfaces associated with prior asbestos exposure. Mesothelioma is also a challenging disease from a diagnostic staging, and ...

This paper presents ongoing research on the modelling of expressive gesture in multimodal interaction and on the development of multimodal interactive systems explicitly taking into account the role of non-verbal expressive gesture in the communication process. In this perspective, a particular focus is on dance and music as first-class conveyors of expressive and emotional content. Research ou...

Multimodal transport is a critical component in developing the international trade economy, and logistics service providers are multimodal transport. However, recent COVID-19 pandemic has seriously affected system, especially light of ongoing rise transportation costs which increased firm operating costs. Furthermore, severely influenced economic sector, resulting decreased growth. This researc...

Effective multimodal graphing tools can be beneficial to both sighted and visually impaired students and scientists. However, before this can become a reality, considerable research is required on the auditory graphing components. We suggest mappings, polarities, scaling, context, and training be studied in particular. We point to previous work in these areas and make suggestions for expanded r...

Through observations from real life hub networks, we introduce the multimodal hub location and hub network design problem. We approach the hub location problem from a network design perspective. In hub network design problem, we jointly consider transportation costs and travel times, which are studied separately in most hub location problems presented in the literature. We allow different trans...

We present a multimodal interface that learns words from natural interactions with users. The system can be trained in unsupervised mode in which users perform everyday tasks while providing natural language descriptions of their behaviors. We collect acoustic signals in concert with user-centric multisensory information from non-speech modalities, such as user’s perspective video, gaze positio...

Raman spectroscopy is a label-free method of obtaining detailed chemical information about samples. Its compatibility with living tissue makes it an attractive choice for biomedical analysis, yet its translation from a research tool to a clinical tool has been slow, hampered by fundamental Raman scattering issues such as long integration times and limited penetration depth. In this review we de...