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

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

β‚Ή1,179.00Price

🧠 GSR Skin Current Sensor V2.0

Emotion β€’ Stress β€’ Biofeedback Sensor

πŸ–ΌοΈ Infographic Overview

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ GSR SKIN CURRENT SENSOR V2.0 β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ πŸ“Š Measures : Skin Conductance (EDA) β”‚
β”‚ ⚑ Voltage : 3.3V – 5V β”‚
β”‚ πŸ”Œ Output : Analog Signal β”‚
β”‚ 🧠 Principle : Sweat β†’ Conductivity β”‚
β”‚ πŸ‘† Electrodes : 2 (finger contact) β”‚
β”‚ πŸ”‹ Current : ~1mA β”‚
β”‚ πŸ“ Size : ~34 Γ— 25 mm β”‚
β”‚ 🎯 Use : Stress & Emotion Track β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

πŸ“Œ What is GSR Sensor?

The GSR (Galvanic Skin Response) Sensor V2.0 measures electrical conductance of human skin, which changes based on sweat gland activity.

πŸ‘‰ 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

βš™οΈ Working Principle

Finger 1 ──┐
β”‚ Small Voltage Applied
Finger 2 β”€β”€β”˜
↓
Skin Resistance Changes
↓
Current Changes
↓
Analog Output Signal

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

πŸ”¬ Scientific Concept

πŸ‘‰ Also called:

  • EDA (Electrodermal Activity)

  • SCR (Skin Conductance Response)

πŸ“ˆ Relationship:

  • More stress β†’ more sweat β†’ higher conductance

  • Relaxed state β†’ dry skin β†’ lower conductance

βœ” This is why GSR is used in:

  • Lie detectors

  • Psychological research

  • Biofeedback systems

✨ Key Features

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

πŸ”Œ Pin Configuration

VCC β†’ 3.3V / 5V
GND β†’ Ground
SIG β†’ Analog Output (to MCU)

πŸ“Š Output Behavior

ConditionSkin StateOutput Signal
😌 RelaxedDryLow signal
😰 StressedSweatyHigh signal
😱 ExcitedVery moistHighest

🧠 Smart Capabilities

πŸ”„ Real-Time Monitoring

  • Continuous tracking of emotional state

πŸ“‰ Biofeedback Ready

  • Can trigger:

    • Alarms

    • LEDs

    • Apps

πŸ“Š Data Logging Compatible

  • Works with ADC for graphs & analysis

πŸ› οΈ Applications

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

⚑ Advantages

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

⚠️ Limitations

❌ Not 100% accurate for emotions (needs AI/data processing)
❌ Affected by:

  • Temperature

  • Skin dryness

  • Movement
    ❌ Requires good electrode contact

πŸ”— Arduino Connection Example

GSR Sensor β†’ Arduino
VCC β†’ 5V
GND β†’ GND
SIG β†’ A0

πŸ‘‰ Then read analog values:

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

πŸ“ˆ 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

πŸ’‘ Pro Tips

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

  • Moving average

  • Low-pass filter

βœ” Combine with:

  • Heart rate sensor ❀️

  • Temperature sensor 🌑️

πŸ‘‰ For better emotion detection accuracy

🧾 Summary

The GSR Skin Current Sensor V2.0 is a powerful biometric tool that converts human emotional changes into electrical signals. It’s perfect for:

βœ” Stress detection
βœ” Biofeedback systems
βœ” Wearable tech projects
βœ” AI-based emotion analysis

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