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Dr. Rania Niri won the Fongit innovative venture prize at the competitive Science2Market course with her project “Woundwatch”. Congratulations to her and her team !

WoundWatch is an innovative mobile application designed to improve wound care management. It uses image processing, real-time data analytics, and predictive AI models to monitor wound healing, offering valuable insights to healthcare providers and patients. By addressing challenges like subjective assessments, communication gaps, and high healthcare costs, WoundWatch aims to make wound care more accurate, efficient, and affordable. Moreover, by incorporating affective feedback, WoundWatch builds trust between healthcare professionals and AI, fostering collaboration and confidence in the technology.

Guillaume Chanel will give a Keynote talk at the EmoRec EEG workshop, part of the ACII 2024 conference, on the topic of “The emotion “ground-truth”: emotion annotations and generalizability”. The most common ways to establish emotional “ground-truth”, self-reports and external annotations, are discussed in light of the presented affective cues. Than an alternative relying on cognitive models of emotions, multimodal information, and unsupervised learning is proposed.

Dr. Guillaume Chanel (SIMS,Department of Computer Science) in an interview for Radio Télévision Suisse (RTS) talking about affective computing.