Imbodylab

Multimodal sensor fusion: ECG, EMG, EDA signals aligned with acoustic profiles (20Hz–16kHz) and dynamic ranges (±12dB), mapping the body’s invisible rhythms.

We invite you to participate in the BODYinTRANSIT Data Competition. Visit BIT-Data Competition section.

The BODYinTRANSIT Data Competition is part of the ERC-funded BODYinTRANSIT project and is hosted at the IEEE Machine Learning for Signal Processing (MLSP) Workshop 2025. This competition is dedicated to the decoding of human body perception through multimodal biosignals, thereby challenging participants to develop classification models that accurately predict perceived changes in body weight (lighter, heavier, or unchanged) based on physiological and kinematic time-series data.

By participating in this competition, researchers will contribute significantly to the advancement of signal processing methodologies pertinent to biosignal analysis and will also acquire invaluable insights concerning human sensorimotor integration.

You can download Call for Competition from this link.