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.
Implemented Platform
From wearable capture to clinical session reports
The prototype now connects the full workflow: five wearable IMU nodes capture walking data, the dashboard fuses multi-node signals into gait metrics, and clinicians can review patient sessions over time.
- Sensor system: five autonomous IMU nodes with BLE data capture, battery-powered operation, and wearable 3D-printed enclosures.
- Gait analysis: multi-node fusion for cadence, detected steps, step time, variability, side timing, stride timing, and asymmetry indices.
- Clinical dashboard: CSV import, bilingual interface, patient profiles, longitudinal session history, trend graphs, and exportable PDF summaries.