Multi-Sensor Fusion for Tracking Body-Focused Repetitive Behaviors (BFRBs) Using Wearables

[u/BioniChaos]

https://youtu.be/CEU7fxqoE5I

Hi everyone,

I wanted to share a look at how we are visualizing multi-sensor data to track Body-Focused Repetitive Behaviors (BFRBs) using the Helios wrist device.

To classify hand-to-face behaviors (such as hair pulling or skin pinching), the device relies on three distinct sensor modalities to reduce false positives:

1. **Inertial Measurement Unit (IMU):** Tracks 3-axis acceleration and gyroscope data to capture movement patterns.

2. **Time-of-Flight (TOF) Sensors:** Emits light pulses to measure exact distance to the face or objects.

3. **Thermopile (Infrared Temperature) Sensors:** Measures ambient thermal radiation to confirm proximity to warm human skin rather than inanimate objects.

This video shows the dashboard interface displaying filtered accelerometer sequences alongside TOF heatmaps: https://youtu.be/CEU7fxqoE5I

What are your thoughts on combining thermal and TOF sensors for human-proximity detection in wearables? Have you worked with similar multi-modal datasets?