Health-promoting engineering
Focus:
Our focus is to use an interdisciplinary approach by advancing state-of-the-art for technologies providing personalized health advice. We digitalize health advice based on best-practice and current research for selected health related challenges, adapt and develop new methods to be able to collect and process objective and subjective data from users and integrate relevant behavior change strategies to be able to provide personalized advice for health improvements.
Graph-Based Methods for Multimodal Indoor Activity Recognition: A Comprehensive Survey (Jan 2025) Saeedeh Javadi, Daniele Riboni , Luigi Borzi, Samaneh Zolfaghari IEEE Transactions on Computational Social Systems (IEEE TCSS)
Exploring the potential of electrical bioimpedance technique for analyzing physical activity (Dec 2024) Abdelakram Hafid, Samaneh Zolfaghari, Annica Kristoffersson, Mia Folke Frontiers in Psychology (FPsyg)
DAT (Dec 2024) Ali Asghar Sharifi, Ali Zoljodi , Masoud Daneshtalab Sensors (MDPI Sensors)
TrajectoryNAS (Sep 2024) Ali Asghar Sharifi, Ali Zoljodi , Masoud Daneshtalab Sensors (SENSC9)
Contrastive Learning for Lane Detection via cross-similarity (Sep 2024) Ali Zoljodi , Sadegh Abadijou , Mina Alibeigi , Masoud Daneshtalab Pattern Recognition (PR)
Unobtrusive Cognitive Assessment in Smart-Homes: Leveraging Visual Encoding and Synthetic Movement Traces Data Mining (Feb 2024) Samaneh Zolfaghari, Annica Kristoffersson, Mia Folke, Maria Lindén, Daniele Riboni Sensors (MDPI Sensors)
