Multimodal Methods for Context Analysis in Smart Eyewear Applications - 2026_IDR_DEIB_72
The research program focuses on the study and development of multimodal methodologies for context analysis in smart eyewear applications. The aim is to integrate eye-tracking information with data acquired from heterogeneous sensors, such as cameras, inertial measurement units (IMUs), and audio sensors, to understand the context and the actions performed by the user. Particular attention will be devoted to integrating gaze information with image analysis, using artificial intelligence techniques to identify relevant visual information and interpret user interactions with the environment. Multimodal information will also be exploited to develop adaptive strategies aimed at reducing the computational load and energy consumption of the devices by dynamically selecting sensors and processing modalities according to the context.
Selection process
In order to participate in the selection, please read the call ("bando") available at the following website: https://www.polimi.it/en/bandi-incarichidiricerca
Oral test aimed at ascertaining candidates’ aptitude and suitability to carry out the research activity covered by the Fellowship, as well as at assessing their knowledge of English and/or other languages relevant to the research activities to be performed (up to 60 points) Relevance and pertinence of the publications, theses and scientific products attached to the research programme covered by the Fellowship (up to 15 points) Relevance and pertinence of previous research activities and work experience, if any, in relation to the research activity covered by the Fellowship (up to 15 points) Relevance and pertinence of their study programme to the research programme covered by the Fellowship (up to 10 points)