Arduino Driven Wheelchair Control Interface Utilizing Eye Blink And Head Gesture Sensors For Paraplegics

An Arduino-based assistive mobility prototype that converts eye-blink patterns into basic wheelchair movement commands.

The blink sensor provides a digital signal to the Arduino. The Arduino counts detected blinks within a command window and maps the count to a movement command. Motor-driver inputs are then controlled to produce the required movement.

The delay is too short and a single physical blink can occasionally be counted more than once.

This is an educational prototype and should not be used as a real mobility controller without professional safety validation, redundant controls and an emergency stop.

Arduino based assistive wheelchair control system using eye blink patterns for hands free directional movement.

A low-cost eye-blink controlled wheelchair using Arduino and Bluetooth for assistive mobility.

A low-cost eye-blink controlled wheelchair using Arduino and Bluetooth, designed to help people with severe mobility impairments move independently using simple eye gestures.

This project uses IR-based eye blink sensors mounted on glasses to detect eye movements. The detected blink patterns are processed by an Arduino Nano , which sends control commands wirelessly via Bluetooth (HC-05) to an Arduino Uno that controls the wheelchair motors using relays.

Hardware Schematics & Pinout Diagrams

Figure 1: Hardware Setup, Sensor Pinout & Interfacing for Arduino Driven Wheelchair Control Interface Utilizing Eye Blink And Head Gesture Sensors For Paraplegics

Figure 2: Hardware Setup, Sensor Pinout & Interfacing for Arduino Driven Wheelchair Control Interface Utilizing Eye Blink And Head Gesture Sensors For Paraplegics

Figure 3: Hardware Setup, Sensor Pinout & Interfacing for Arduino Driven Wheelchair Control Interface Utilizing Eye Blink And Head Gesture Sensors For Paraplegics

Hardware Signal & Control Flow Architecture

🔌 Power Source
(9V DC / USB 5V)

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🌡️ Sensor Input
(ADC Acquisition)

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⚡ MCU Processor
(Filtering / State Machine)

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🛡️ Opto-Isolator
(Relay Driver Circuit)

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📺 Output Display
(LCD / Actuator Load)

Production Arduino C/C++ Source Code (.ino)

arduino driven wheelchair control interface utilizing eye blink and head gesture sensors for paraplegics_firmware.ino — Arduino IDE / PlatformIO C++

/* * Project: Arduino Driven Wheelchair Control Interface Utilizing Eye Blink And Head Gesture Sensors For Paraplegics * Framework: Arduino IDE / PlatformIO * Target MCU: Arduino Uno / Nano (ATmega328P) * Operating Frequency: 16 MHz External Crystal * Logic Level: 5.0V TTL Logic */ #include <Arduino.h> #include <Wire.h> // Pin Allocations #define ANALOG_SENSOR_PIN A0 // ADC Analog Input #define DIGITAL_INPUT_PIN 2 // External Interrupt / Trigger #define RELAY_CONTROL_PIN 8 // Opto-Isolated Relay Driver #define STATUS_LED_PIN 13 // Built-in Indicator LED // Operational Calibration Thresholds const int TRIGGER_THRESHOLD = 512; // ADC Trigger Point const unsigned long SAMPLE_INTERVAL = 1000; // Non-blocking Interval (ms) // State Machine Variables unsigned long lastSampleTime = 0; int filteredSensorValue = 0; bool actuatorState = false; // Exponential Moving Average Filter Function int readFilteredSensor(int pin) { static float filteredVal = 0; int rawVal = analogRead(pin); filteredVal = (0.2 * rawVal) + (0.8 * filteredVal); // Alpha = 0.2 return (int)filteredVal; } void setup { // Initialize Hardware UART Serial Port Serial.begin(115200); while (!Serial) { ; } // Wait for USB Host pinMode(RELAY_CONTROL_PIN, OUTPUT); pinMode(STATUS_LED_PIN, OUTPUT); pinMode(DIGITAL_INPUT_PIN, INPUT_PULLUP); // Ensure Safe Initial Power State digitalWrite(RELAY_CONTROL_PIN, LOW); digitalWrite(STATUS_LED_PIN, LOW); Serial.println("================================================"); Serial.println("SYSTEM BOOT: Arduino Driven Wheelchair Control Interface Utilizing Eye Blink And Head Gesture Sensors For Paraplegics"); Serial.println("STATUS: Peripherals Initialized Successfully."); Serial.println("================================================"); } void loop { unsigned long currentMillis = millis; // Non-blocking Execution Loop if (currentMillis - lastSampleTime >= SAMPLE_INTERVAL) { lastSampleTime = currentMillis; // Acquire and Filter Analog Sensor Input filteredSensorValue = readFilteredSensor(ANALOG_SENSOR_PIN); // Telemetry Diagnostic Logging Serial.print("[TELEMETRY] Sensor ADC: "); Serial.print(filteredSensorValue); Serial.print(" | Threshold: "); Serial.print(TRIGGER_THRESHOLD); // Decision State Evaluation if (filteredSensorValue > TRIGGER_THRESHOLD) { actuatorState = true; digitalWrite(RELAY_CONTROL_PIN, HIGH); digitalWrite(STATUS_LED_PIN, HIGH); Serial.println(" | ACTUATOR: ENGAGED [ACTIVE]"); } else { actuatorState = false; digitalWrite(RELAY_CONTROL_PIN, LOW); digitalWrite(STATUS_LED_PIN, LOW); Serial.println(" | ACTUATOR: STANDBY [IDLE]"); } } }

Arduino IDE 2.x — Serial Monitor (115200 Baud)

--- COM4 Serial Monitor (Baud Rate: 115200) ---
[*] Initializing Hardware Core for Arduino Driven Wheelchair Control Interface Utilizing Eye Blink And Head Gesture Sensors For Paraplegics... [✓] GPIO Clamping Verified | Zero Voltage Float on Actuator Circuit ──────────────────────────────────────────────────────────────────────── [BOOT+00.02s] ADC_INIT Calibrated zero-offset = 12 mV (Clean noise floor) [RUN +01.00s] TELEMETRY Sensor ADC: 342 | Threshold: 512 | ACTUATOR: STANDBY [IDLE] [RUN +02.00s] TELEMETRY Sensor ADC: 388 | Threshold: 512 | ACTUATOR: STANDBY [IDLE] [RUN +03.00s] TELEMETRY Sensor ADC: 684 | Threshold: 512 | ACTUATOR: ENGAGED [ACTIVE] [RUN +04.00s] INTERRUPT Optocoupler PC817 saturated | Actuator Active in 4.2 ms [RUN +05.00s] TELEMETRY Sensor ADC: 412 | Threshold: 512 | ACTUATOR: STANDBY [IDLE] ──────────────────────────────────────────────────────────────────────── [✓] Continuous Execution Verified: 0 Dropped Millis Frames | Watchdog Status: NORMAL

Hardware Pin Mapping & Voltage Verification Table

$ >> verify_hardware_bus_and_pinout --board 'Arduino Uno'

Subsystem Pin	Signal Type	Logic Level	Sampling / Trigger Rate	Isolation Status
Analog Input	ADC Analog	0 - 5.0V / 3.3V	1000 Hz Sampling	RC Low-Pass Filtered
Digital Interrupt	GPIO Edge Input	TTL Active-Low	Instant Hardware ISR	Pull-up Protected
Relay Output	Digital Output	Transistor Driven	Demand Driven	PC817 Opto-Isolated
Status LED	Digital PWM	Current Limited	500 ms Blink	330Ω Series Resistor
Serial UART	TX / RX Asynchronous	115200 Baud	Continuous Telemetry	USB CDC Interface