Mot radarbaserad gånganalys för äldre med hjälp av maskininlärning

Forskningsprojekt, 2023 – 2024

We are developing a radar-based gait analysis method for continuous and reliable gait assessment in home environment. The long-term goal is to bring this novel technology into future digital healthcare systems, contributing with valuable information for early detection, prediction and eventually prevention of neurodegenerative diseases and fall accident for the elderly.

In this project,we explore the use of machine learning for gait analysis. More specifically, we investigate the feasibility and potential of machine learning for automatic gait feature extraction through pattern learning and recognition.