HALO vs. consumer EEG headbands
First-generation EEG headbands proved people will wear brain sensors. But most capture EEG alone, focus narrowly on meditation, and stop at raw band-power feedback. HALO fuses EEG with PPG, EDA, IMU, and temperature into a calibrated cognitive-state model.
HALO vs. Consumer EEG Headbands
| Dimension | HALO | Consumer EEG Headbands |
|---|---|---|
| Signals captured | EEG + PPG + EDA + IMU + Temp | EEG only |
| Modeling | Tiered ML, personalized | Raw band-power feedback |
| Scope | All-day cognitive state | Meditation sessions |
| Developer platform | SDK + APIs | Mostly closed |
| Output | Harmonic Index + trends | Single calm score |
| Form factor | Forehead wearable | Headband |
Multimodal, not single-signal
EEG alone is noisy and context-poor. HALO cross-references neural activity with heart-rate variability, skin conductance, motion, and thermal context to separate genuine cognitive shifts from artifacts — dramatically improving reliability.
Beyond meditation
Headbands optimized for calm sessions. HALO models focus, cognitive load, fatigue, stress, and recovery across the whole day, surfacing them as actionable trends rather than a single in-session number.
A platform, not a gadget
HALO ships an SDK, REST and streaming APIs, and an ethics-first data model so developers can build cognitive-aware software. Most headbands are closed, single-app devices.
The verdict
HALO is the multimodal, full-stack successor: more signals, real machine learning, a developer platform, and a unified Harmonic Index instead of a single meditation score.