Driver Drowsiness Bracelet Using Heart Rate Sensor and Arduino Uno
DOI:
https://doi.org/10.69616/mcs.v2i2.247Keywords:
Traffic Accidents, Drowsiness, Heart Rate, Pulse SensorAbstract
Traffic accidents are incidents on the road that result in material losses or fatalities, and approximately 69.7% of them are triggered by human error. One of the dominant factors is reduced alertness due to drowsiness, which can develop into microsleep—a brief loss of consciousness that often goes unnoticed by drivers. Since microsleep is associated with physiological changes such as a decrease in heart rate during the early phase before falling asleep, heart-rate signals serve as an important indicator for monitoring drowsiness. This study develops a driver drowsiness monitoring system based on a heart-rate sensor packaged in a wristband and controlled by an Arduino Uno. A pulse sensor operating on the Photoplethysmography (PPG) principle is used as the main input, while a signal-filtering mechanism is incorporated to reduce noise caused by hand movement, ensuring stable data quality. The system implementation successfully produced clean and consistent heart-rate signals that can be processed to identify drowsiness indicators without significant interference. Testing results show that the designed system is capable of monitoring heart-rate activity effectively and providing valid indicators of drowsy conditions. Overall, the device demonstrates strong potential as a practical solution to help prevent accidents caused by microsleep.
References
S. A. Heply and D. Z. Siahaan, “Analisis Penyebab Kecelakaan Lalu Lintas di Kota Tanjung Pinang Kepulauan Riau,” Aufklarung J. Pendidikan, Sos. dan Hum., vol. 2, no. 3, pp. 200–214, 2022.
R. Y. Sabilla and D. Yendri, “Sistem Monitoring Kondisi dan Posisi Pengemudi Berbasis Internet of things,” Chipset, vol. 2, no. 01, pp. 1–10, 2021, https://doi.org/10.25077/chipset.2.01.1-10.2021.
B. Mardikawati, D. O. Mulyaningtyas, and Y. Fitasari, “Analisis Kontribusi Human Error terhadap Kecelakaan Lalu Lintas di Bali?: Pendekatan Mixed-Method dengan Desain Triangulasi Konvergen,” vol. 12, no. 1, pp. 47–57, 2025, https://doi.org/10.46447/ktj.v12i1.693.
C. Aj. Saputra, D. Erwanto, and P. N. Rahayu, “Deteksi Kantuk Pengendara Roda Empat Menggunakan Haar Cascade Classifier Dan Convolutional Neural Network,” JEECOM J. Electr. Eng. Comput., vol. 3, no. 1, pp. 1–7, 2021, https://doi.org/10.33650/jeecom.v3i1.1510.
National Sleep Foundation, “What Are the Sleep Stages? - National Sleep Foundation,” National Sleep Foundation.
E. Nnaemeka Uchenna, A. Theophilus Leonard, O. Anthony Nnamdi, and O. Emmanuel Chiemezie, “Drowsy Driver Detection and Alert System using Pulse Sensor,” vol. 9, pp. 37–46, 2020, https://doi.org/10.9790/1813-0911023746.
Y. Efendi, A. N. Putri, Rahmaddeni, and S. Imardi, “Prototype Alarm Deteksi Mata Kantuk Menggunakan,” J. Inf. Syst. Informatics Eng., vol. 4, no. 2, pp. 77–83, 2020, https://doi.org/10.35145/joisie.v4i2.794.
J. Dian, F. D. Silalahi, and N. D. Setiawan, “A Heartbeat Monitoring System To Detect Internet Of Things-Based Heart Health Levels Using Android,” JUPITER (Jurnal Penelit. Ilmu dan Teknol. Komputer), vol. 13, no. 2, pp. 69–75, 2021, https://doi.org/10.5281/3669.jupiter.2021.10.
R. Widadi and S. Indriyanto, “Telemonitoring Denyut Jantung dan Suhu Tubuh Terintegrasi Android Smartphone Berbasis Internet of Things ( IoT ),” vol. 16, no. 1, 2022, https://doi.org/10.23960/elc.v16n1.2232.
O. Kafriandeni, C. Suhery, K. Sari, and A. Malik, “Control and Monitoring System for Lighting on Dragon Fruit Plants,” J. Media Inf. Teknol., vol. 2, no. 2, pp. 103–132, 2025, https://doi.org/10.69616/mit.v2i2.238.
O. A. Dhewa and A. P. Aji, “Chicken Cage Incubator Cooling Control System Using Fuzzy Logic,” Media Comput. Sci., vol. 1, no. 1, pp. 17–30, 2024, https://doi.org/10.69616/mcs.v1i1.177.
J. Manurung, A. Setiawan, and M. C. Untoro, “Identification of Fatigue from Facial Expressions Using Transfer Learning,” Media Comput. Sci., vol. 1, no. 1, pp. 1–16, 2024, https://doi.org/10.69616/mcs.v1i1.180.
F. Adiba, I. Fitriani, M. T. Naufal, and A. Husna, “Diabetemate: Food Suitability System for Diabetes Patients Based on Fuzzy Logic,” J. Heal. Innov. Technol., vol. 1, no. 1, pp. 9–18, 2025, https://doi.org/10.69616/johati.v1i1.227.
L. Surimi, Y. Sulistiawati, R. A. Saputra, and A. Tenriawaru, “Integration of Forward Chaining and Bayes’ Theorem in Expert System Development for Malnutrition Diagnosis,” J. Heal. Innov. Technol., vol. 1, no. 1, pp. 39–50, 2025, https://doi.org/10.69616/johati.v1i1.242.
J. V. Summer and D. A. Singh, “What Is a Normal Sleeping Heart Rate?,” Sleepfoundation.org.
M. Tollsen and D. J. Zhang, “What Is a Normal Sleeping Heart Rate?,” Amerisleep.
M. I. Hafidhin, A. Saputra, Y. Rahmanto, and S. Samsugi, “Alat Penjemuran Ikan Asin Berbasis Mikrokontroler Arduino UNO,” J. Tek. dan Sist. Komput., vol. 1, no. 2, pp. 59–66, 2020, https://doi.org/10.33365/jtikom.v1i2.210.
Published
Issue
Section
Copyright (c) 2025 Lesmana Dwi Prayudha, Uray Ristian, Hirzen Hasfani
This work is licensed under a Creative Commons Attribution 4.0 International License.
