Event extraction library for Pupil Labs eye tracker data.
End-to-end motor imagery BCI: custom ADS1299+STM32 acquisition board → PsychoPy+LSL recording → PyTorch training (transfer learning from BCI IV-2b) → real-time CPU inference (~40ms)
Modular Python library for the acquisition and processing of EEG signals from the Unicorn Hybrid Black device, integrating the Lab Streaming Layer (LSL) protocol for real-time data capture.
A project that uses wearable biosignals and machine learning to adapt game narrative in real time.
Adaptive self-compassion narrative stimulus platform for simultaneous EEG-fNIRS acquisition. Generates personalized stories conditioned on Self-Compassion Scale scores and participant disclosures, presented as controlled reading epochs with LSL markers. Built at Mind Lab, IIT Delhi; data accepted for poster presentation at PREMI 2025.
LAN-first multi-stream EEG feature broker — LSL in, derived features out, multi-app WebSocket fan-out
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