ABOUT US
The MultiMedia Signal Processing (MMSP) Laboratory is a research group of the Department of Informatics, Systems and Communication at the University of Milano-Bicocca.
The MMSP lab is active both in research and teaching activities covering topics mainly related to affective computing, electronic records, human-machine interaction, and multimedia data processing. The field of applications we are currently active on are brain-computer interfaces for emotion detection, computational methods for healthy ageing promotion, electronic records in medical applications, innovative solutions for distance learaning, multimodal emotion recognition, multimodal meme content detection, and physiological sensor fusion.
OUR MEMBERS
Francesca Gasparini
Laboratory head
Davide Chicco
Assistant Professor
Aurora Saibene
Postdoc Research Fellow
Alessandra Grossi
Research Fellow
RESEARCH AREAS
Research area summary.
Health informatics regards the application of computational techniques to medical data of patients, such as electronic health records (EHRs).
Through social informatics, we aim at analyzing social and demographic data to better understand poverty and participation of elderly in the society.
The multidisciplinary field of Human-Machine Interaction (HMI) mainly pertains the biridirectional interaction of human and machines in different application contexts.
Research area summary.
RECENT NEWS
Recent news
- Bbtween: New technologies, rights and society: the bio-enhancement. A reflection through cinema.
- MMSP group participation in the 22nd International Conference of the Italian Association for Artificial Intelligence
- Congratulations to our students!
- Welcome to Ulises!
- MMSP Workshops co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence
- Special Issue: “Algorithms for Virtual and Augmented Environments”
- Follow up on the “Hands-on Brain-Computer Interfaces” Workshop by Slobodan Tanackovic
- Workshop “Hands-on Brain-Computer Interfaces” by Slobodan Tanackovic, June 5th 2023, 9:00 AM
- Deadline extension of our Special Issue “AI-Based Biomedical Signal Processing”
- Special Issue: “AI-Based Biomedical Signal Processing”