EEG Biosensor

NeuroSky's research-grade, mobile, embeddable chip unlocks a new world of solutions for developers, innovators and researchers.

NeuroSky’s ThinkGear EEG technology powers next-generation wearable and mobile applications by capturing real-time brainwave data in a single, integrated chip.


The TGAT chip and TGAM1 module provide developers with reliable, consumer-ready EEG sensing — enabling applications in wellness, education, entertainment, and research.

With built-in signal quality analysis, filtering, and eSense™ algorithms for Attention and Meditation, NeuroSky’s EEG chip delivers advanced performance with minimal power and integration requirements.

EEG Chip Key Features

Single-Chip Design
  • Fully self-contained integrated biosensor
  • Direct connection to dry electrodes (no conductive gel required)
  • Low power consumption suitable for portable, battery-driven devices
  • On-chip filtering with high noise immunity
  • 50Hz / 60Hz configurable notch filter to eliminate power-line interference
  • 3–100Hz frequency range, 512 samples per second
  • 12-bit EEG signal precision with real-time signal quality monitoring
  • Real-time EEG power spectrum output
  • eSense™ meters for Attention and Meditation
  • Poor signal quality detection and output alerts
  • TGAT chip dimensions: 9 × 9 × 1.6 mm (LQFP64 package)
  • TGAM1 module dimensions: 27.9 × 15.2 × 2.5 mm
  • Operating voltage: 2.97V–3.63V
  • Typical current consumption: 15mA @ 3.3V
  • UART serial interface (TX/RX/VCC/GND)
  • Programmable baud rates: 1200 / 9600 / 57.6K
  • Supports on/off head detection
  • Standard output for raw EEG and processed eSense data
  • Compatible with mobile and embedded systems
  • iOS, Android, and Windows SDKs available for rapid application development

Why Choose NeuroSky EEG Technology

Application Examples

ThinkGear EEG chips and modules are designed for easy integration into:

Wearable headsets and wellness monitors

Research workstation displaying brain imagery to represent EEG data visualization and analysis

Educational tools that track focus and engagement

neurosky-education

Gaming systems using brainwave control or feedback

Illustrated brain with waveforms representing EEG metrics like attention and meditation

Research instruments for cognitive or attention studies

Hands holding a tablet with a biometrics dashboard to show real-time EEG insights

Mobile and tablet accessories with Bluetooth or serial communication

Hand using smartphone representing EEG data connectivity and mobile integration

Readily Available Algorithms

Attention

Indicates the intensity of mental focus (0–100). Increases with sustained concentration and decreases when distracted. Useful for educational tools and game controls.

Measures mental calmness or relaxation (0–100). Increases as users relax, decreases with stress. Enables mindfulness training and emotional regulation.

Detects and measures blink strength. Useful for communication aids, fatigue monitoring, and binary control interfaces.

Tracks cognitive workload during tasks, supporting evaluation of multitasking, focus, and learning efficiency.

Measures subconscious learning and comfort with a task to assess understanding or skill acquisition.

Quantifies enjoyment or emotional engagement with audiovisual content, ideal for marketing and UX analysis.

Identifies emotional intensity and pleasantness (pleasant/unpleasant) in real time.

Assesses the brain’s readiness for complex tasks and higher-level cognitive functions.

Measures brainwave activity associated with innovative and divergent thinking.

Monitors vigilance and mental readiness. High values indicate focus, low values represent relaxation.