GSR Skin Current Sensor V2.0 for Real-time Stress & Emotion Monitoring

GSR Skin Current Sensor V2.0

Emotion Stress Biofeedback Sensor

Infographic Overview

GSR SKIN CURRENT SENSOR V2.0 urResponse) Sensor V2.0 measures electrical conductance of human skin, which changes based on sweat gland activity.

When emotions like stress, excitement, or fear occur:

• Sweat increases

• Skin conductivity rises

• Sensor detects this change

This makes it useful for emotion recognition and stress monitoring systems

Working Principle

Finger 1 Small Voltage AppliedFinger 2 Skin Resistance Changes'Current Changes'Analog Output Signal

The sensor applies a tiny safe voltage across the skin Measures current flow between two electrodes Converts it into a readable signal

Scientific Concept

Also called:

• EDA (Ele Relationship:

  • More stress more sweat higher conductance

  • Relaxed state dry skin lower conductance

  This is why GSR is used in:

  • Lie detectors

  • Psychological research

  • Biofeedback systems

  Key Features

  High sensitivity to small physiological changes Real-time analog output Low power consumption (~1 mA) Compact & lightweight design Easy integration with Arduino / Raspberry Pi Improved noise stability (V2.0 upgrade)

  Pin Configuration

  VCC 3.3V / 5VGND GroundSIG Analog Output (to MCU)

  Output Behavior

  Smart Capabilities

  Real-Time Monitoring

  • Continuous tracking of emotional state

  Biofeedback Ready

  • Can trigger:

    • Alarms

    • LEDs

    • Apps

  Data Logging Compatible

  • Works with ADC for graphs & analysis

  Applications

  Stress monitoring systems Emotion detection projects Wearable health devices Meditation & relaxation tools Human-computer interaction Gaming & VR feedback systems

  Advantages

  Non-invasive measurement Real-time response Simple circuit Low cost Easy to use for students & research

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• Skin dryness

• Movement Requires good electrode contact

Arduino Connection Example

GSR Sensor ArduinoVCC 5VGND GNDSIG A0

Then read analog values:

int gsr = analogRead(A0);Serial.println(gsr);

Real-Life Insight

GSR is widely used in AI-based emotion recognition systems, where machine learning analyzes patterns to classify emotional states with reasonable accuracy

Pro Tips

Use clean, dry fingers for consistent readings Apply light pressure on electrodes Filter noise using:

• Moving average

• Low-pass filter

Combine with:

• Heart rate sensor

• Temperature sensor

Forful biometric tool that converts human emotional changes into electrical signals. It's perfect for:

Stress detection Biofeedback systems Wearable tech projects