Eletrocap Challenge · Group 30
Wearable motion tracking for clearer physiotherapy assessment.
We are developing a portable multi-sensor system that captures lower-body movement with wearable IMU nodes and converts it into gait metrics clinicians can interpret quickly during rehabilitation sessions.
Problem
Clinical movement assessment is often difficult to quantify.
Physiotherapists can identify many gait deviations visually, but visual assessment alone makes it harder to compare sessions, document small improvements, and separate fatigue, asymmetry, and instability over time.
Approach
Turn body motion into structured, repeatable data.
Our system combines wearable IMU nodes, synchronized wireless acquisition, signal processing, and a clinician-facing dashboard to provide objective session summaries without requiring a laboratory setup.
Motion Capture
Distributed IMU nodes are positioned on relevant body segments to capture acceleration, angular velocity, and orientation during walking tasks.
Time Alignment
Timestamped samples and synchronization logic keep sensor streams aligned so gait events can be compared across body segments.
Clinical Metrics
Detected steps, phases, cadence, temporal symmetry, and session summaries are organized for quick interpretation and follow-up.
Current Focus
Prototype validation and dashboard refinement
The project is currently focused on reliable sensor acquisition, event detection, and presenting metrics in a way that is useful during real physiotherapy workflows.
- Implemented: dashboard prototype, IMU data capture experiments, project architecture definition.
- In progress: multi-node synchronization, gait event detection, validation protocol.
- Planned: clinician feedback loop, longitudinal session comparison, exportable reports.