Affective Computing and Interaction

EnTimeMent (H2020 FET project - link to website to come soon) aims at a radical change in scientific research and enabling technologies for human movement qualitative analysis, entrainment and prediction, based on a novel neuro-cognitive approach of the multiple, mutually interactive time scales characterizing human behaviour. Our approach will afford the development of computational models for the automated detection, measurement, and prediction of movement qualities from behavioural signals, based on multi-layer parallel processes at non-linearly stratified temporal dimensions, and will radically transform technology for human movement analysis. EnTimeMent new innovative ... Read more…

The project aims to develop intelligent systems that will enable ubiquitous monitoring and assessment of patients' pain-related mood and movements inside and outside the clinical environment. Specifically, we aim to (a) develop a set of methods for automatically recognising audiovisual cues related to pain, sensors-based behavioural patterns typical of low back pain, and affective states influencing pain, and (b) integrate these methods into a system that will provide appropriate feedback and prompts to the patient based on his/her behaviour measured during self-directed physical therapy sessions. In doing so, we ... Read more…

We are investigating the use of real-time sound-based feedback on one’s movement to alter body perception and increase people’s positivity towards their bodies, with the final aim of enhancing behavioral patterns, confidence and motivation for physical activity. MAGICSHOES is a highly interdisciplinary project and combines quantitative and qualitative methodologies from neuroscience research, human-computer interaction and real-life applications. (read more: http://magicshoes.es/ ) Read more…

We are standing at an exciting moment when advanced thermography technology has emerged, producing a new category of thermographic systems: mobile, low-cost thermal imaging system. Despite the relatively low quality of their thermal imaging outputs, this technology could help bridge the gap between the findings from highly constrained laboratory environments and real-world applications in the wild. Indeed, its portability (e.g. small size and low computational resource requirement) allows it to not only be easily attached to mobile phones but also be integrated into our clothes and accessories. Inspired by ... Read more…

The purpose of the Human Manufacturing project is to create a healthy workplace to supports the workers' capabilities so to increase the competitiveness of the manufacturing firms through the creation of an optimal environment for human automation integration and cooperation. We are investigating the use of Thermal cameras among other sensors to capture workers's mental stress Read more…

weDraw is a two-year EU H2020 funded research project to investigate and design different types of digital learning environments using a range of senses (such as sight, sound, touch and movement) to teach mathematical concepts to primary school children (aged 6-10 years). Technology will be used to explore arithmetical concepts through rhythm and music, and geometrical concepts through body movement and drawing. For example, digital devices which use resistance and force to create and explore edges and shapes through touch; or moving in space to create and manipulate sounds as ... Read more…

It is a European project (FP7). It aims to understand laughter and its emotional facets with the aim to incorporate technology with the ability to express the different type of multimodal laughter and understand people's laughter meaning. Laughter is a significant feature of human communication. ILHAIRE objectives are to help the scientific and industrial community to bridge the gap between knowledge on human laughter and its use by avatars, thus enabling sociable conversational agents to be designed, using natural-looking and natural-sounding laughter. Read more…