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)
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)
Enhancing Kitchen Activity Recognition: A Benchmark Study of the Rostock KTA Dataset (Jan 2024) Samaneh Zolfaghari, Teodor Stoev , Kristina Yordanova IEEE Access (IEEE-ACCESS)
Toward digital inclusion of older adults in e-health (Oct 2023) Åsa Revenäs , Lars Ström , Antonio Cicchetti, Maria Ehn Universal Access in the Information Society (UAIS)
Sensor-based Locomotion Data Mining for Supporting the Diagnosis of Neurodegenerative Disorders: a Survey (Aug 2023) Samaneh Zolfaghari, Sumaiya Suravee , Daniele Riboni , Kristina Yordanova ACM Computing Surveys (CSUR)
