Live Demonstration: IMU-based Human Activity Recognition towards Camptocormia Measurement at Home
This demonstration presents a wearable sensor system that uses neural networks to classify human activities and measure the camptocormia angle (CA) via the perpendicular method. Two inertial measurement units (IMUs) mounted on C7 and L5 vertebrae capture acceleration and rotation data, which are processed in real time on an NVIDIA Jetson Nano. This setup enables real-time activity classification, offering insights into tracking camptocormia and Parkinson's disease progression during daily activities.
Authors
- Kamran Naderi Beni (ORCID: https://orcid.org/0000-0001-5248-3401)
- Robert Rieger (ORCID: https://orcid.org/0000-0002-4436-0804)
- Lukas Riesel
Institutions
- Christian-Albrechts-Universität zu Kiel (DE)
Publication Details
- Published
- 2025-05-25
- DOI
- https://doi.org/10.1109/iscas56072.2025.11043227
- Primary Topic
- Parkinson's Disease and Spinal Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00