Brain Controlled Wheel Chair With IOT Health Monitoring System

Summary

This project demonstrates a brain-controlled wheelchair, where brainwave signals are captured via a headset to control the wheelchair's movement. The system includes health monitoring features, tracking pulse rate, body temperature, and oxygen levels, with alerts for abnormal readings. Additionally, IoT protocols enable real-time health updates through an app, while obstacle and staircase detection systems ensure safety. The project combines brainwave technology, real-time health monitoring, and safety mechanisms to offer a promising solution for assisted mobility, particularly for individuals with mobility impairments.

Takeaways

• 😀 The project demonstrates a brain-controlled wheelchair, where brain signals are used to control a real-world device.
• 😀 A brainwave headset is used to read brain signals and wirelessly transmit them to the wheelchair for control.
• 😀 The project includes a health monitoring system that tracks body temperature, pulse rate, and SPO2 levels.
• 😀 An IoT communication protocol sends health data to an Android app for real-time monitoring and alerts.
• 😀 If the health of the person on the wheelchair becomes abnormal, SMS notifications are sent as an alert.
• 😀 The wheelchair has built-in obstacle detection to stop the chair in case of obstacles and staircase detection to prevent accidents.
• 😀 The brainwave headset provides attention and meditation levels, which can be used to control the movement of the wheelchair.
• 😀 The project is powered by a Raspberry Pi, which serves as the central computing unit for controlling the wheelchair and other components.
• 😀 The wheelchair uses DC gear motors and an additional motor driver to control its movement based on signals from the Raspberry Pi.
• 😀 The system runs automatically once powered on, including the display of health parameters and the connection to the brainwave headset.

Q & A

What is the purpose of the brainwave headset in the project?

The brainwave headset is used to read the brain signals from the user's brain. These signals are then wirelessly transmitted to the system to control real-world devices, such as the wheelchair in this case.

How does the wheelchair control system work?

The wheelchair is controlled using brain signals captured by the brainwave headset. These signals are processed by a central computing unit (Raspberry Pi) and used to control the DC gear motors that power the wheelchair.

What additional features are integrated into the wheelchair control system?

Besides controlling the wheelchair using brainwave signals, the system also monitors the user's health (temperature, pulse rate, SPO2) and sends alerts through IoT protocols. It also includes safety features like obstacle and staircase detection to prevent accidents.

What does the Raspberry Pi do in this project?

The Raspberry Pi acts as the central computing unit, processing the signals received from the brainwave headset. It also controls the motor drivers that power the wheelchair's movement and facilitates communication with other systems, including health monitoring and IoT-based alerts.

How is the health of the person using the wheelchair monitored?

The system monitors the person's health by reading parameters like temperature, pulse rate, and SPO2. These values are sent to an Android application via IoT protocols. If the values are abnormal, SMS alerts are sent to notify the concerned individuals.

What happens if the user's health parameters are abnormal?

If the health parameters (such as body temperature, pulse rate, or SPO2) are abnormal, the system triggers an SMS alert and updates the health status in the Android application, notifying caregivers about the issue.

How does the system detect obstacles and potential hazards like stairs?

The system uses proximity sensors for obstacle detection and other sensors for staircase detection. If an obstacle is detected or the wheelchair is nearing a staircase, the system automatically stops the wheelchair to prevent accidents.

How is the health data visualized in the system?

The health data (temperature, pulse rate, SPO2) is displayed on an Android application, which is updated every 8 seconds using IoT communication protocols. This allows real-time monitoring of the user's health.

What happens if a high body temperature is detected?

If the body temperature exceeds a certain threshold (like 38°C), the system sends a high-temperature alert via SMS and displays the alert in the Android application, notifying caregivers about the abnormal condition.

How does the brainwave headset display focus levels?

The brainwave headset displays attention and meditation signals on an LCD screen. These signals are used to determine the user's focus and are then used to control the wheelchair's movement based on the level of focus detected.