Informasi Dokumen
- Sekolah: Institut Teknologi Medan
- Mata Pelajaran: Mikrokontroler
- Topik: Pembuatan Alat Bantu Stress Detector Menggunakan Sensor Hir333, GSR, dan DS18B20 Berbasis Mikrokontroler ATMega 8
- Tipe: thesis
- Tahun: 2016
- Kota: Medan
Ringkasan Dokumen
I. Introduction
The purpose of this document is to detail the design and implementation of a stress detection device using ATMega 8 microcontroller, HIR333 heart rate sensor, GSR (Galvanic Skin Response) sensor, and DS18B20 temperature sensor. The device aims to monitor physiological parameters indicative of stress, providing valuable insights into an individual's emotional state. This document outlines the technical specifications, operational principles, and practical applications of the device, ensuring it meets the standards for usability and functionality in technical environments.
II. Technical Specifications
The device employs three primary sensors: HIR333 for heart rate detection, GSR for measuring skin conductivity, and DS18B20 for temperature monitoring. The HIR333 sensor operates by detecting blood flow through infrared light, while the GSR sensor measures the skin's electrical conductance, which varies with moisture levels. The DS18B20 sensor provides accurate digital temperature readings. The microcontroller, ATMega 8, processes data from these sensors, converting analog signals to digital for analysis. The system is powered by a 5V supply, ensuring compatibility with the sensors and microcontroller.
III. Practical Applications
This stress detection device has multiple applications in healthcare, psychology, and personal wellness. It can be utilized in clinical settings to monitor patients' stress levels during therapy sessions, providing real-time feedback to therapists. Additionally, it can be employed in wellness programs to help individuals understand their stress triggers and manage their emotional health better. By integrating physiological data, the device contributes to a holistic approach to mental health, facilitating early intervention and preventive care.
IV. System Design
The system design includes a block diagram illustrating the interconnections between the sensors, microcontroller, and output display. The HIR333 sensor is positioned on the fingertip to detect heartbeats, while the GSR sensor is placed on two fingers to assess skin conductivity. The DS18B20 sensor measures temperature from the skin's surface. The microcontroller reads data from these sensors sequentially, calibrating and converting the signals for analysis. The output is displayed on a 2x16 LCD, providing users with immediate feedback on their stress levels based on the collected data.
V. Testing and Validation
Comprehensive testing was conducted to validate the performance of the stress detection device. Each sensor was tested for accuracy and reliability, with the HIR333 sensor achieving a heart rate detection accuracy within 3.3%. The DS18B20 temperature sensor demonstrated a high accuracy rate of 98.59%. The GSR sensor effectively measured skin conductivity, correlating well with stress levels. The results confirm that the device operates within acceptable parameters, making it suitable for practical use in stress monitoring applications.
VI. Conclusion
The developed stress detection device represents a significant advancement in monitoring physiological indicators of stress. By integrating multiple sensors and utilizing the ATMega 8 microcontroller, the device provides accurate, real-time data that can aid in stress management and emotional well-being. Future developments may focus on enhancing sensor sensitivity and expanding the device's capabilities for broader applications in mental health and wellness.
