Development of an IoT-Enabled Smart Baby Cradle for Enhanced Infant Monitoring and Parental Control

Development of an IoT-Enabled Smart Baby Cradle for Enhanced Infant Monitoring and Parental Control

Authors

  • Abdul Samad Kamarul Ariffin School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Cawangan Johor, Kampus Pasir Gudang, Johor, Malaysia
  • Arni Munira Markom School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

Keywords:

Internet of Things, Advance Sensor, Automation, microcontroller, esp8266

Abstract

Traditional infant monitoring systems are evolving into intelligent solutions, offering real-time notifications and automation to cater to the demands of multitasking parents. However, most IoT solutions in parental care focus solely on monitoring, lacking automatic smartphone control. In response to this gap, we developed an IoT-based system for automatic cradle monitoring. This system not only enables smartphone-based monitoring but also allows parents to control the cradle's swing speed and receive notifications through a mobile application. Our solution integrates PIR and sound sensors, an ESP8266 microcontroller, and a Wi-Fi module to create a robust monitoring system that tracks a baby's movements and sounds, sending instant notifications to the smartphone. The user can activate the system and adjust the cradle's motion using a slider based on sensor data. This IoT-enabled smart baby cradle enhances convenience and reduces parental stress, ensuring infant well-being and safety. A survey conducted among Universiti Teknologi MARA instructors revealed that 70% preferred automatic swing cradles over traditional ones, and 80% expressed the need for IoT integration in infant cradles, highlighting the growing demand for such advanced solutions.

Downloads

Download data is not yet available.

References

Alam, H., Burhan, M., Gillani, A., Haq, I. U., Arshed, M. A., Shafi, M., & Ahmad, S. (2023). IoT based smart baby monitoring system with emotion recognition using machine learning. Wireless Communications and Mobile Computing, 2023, 1-11. https://doi.org/10.1155/2023/1175450

Alshammari, H. H. (2023). The internet of things healthcare monitoring system based on MQTT protocol. Alexandria Engineering Journal, 69, 275-287. https://doi.org/10.1016/j.aej.2023.01.065

Barr, R. G., Trent, R. B., & Cross, J. (2006). Age-related incidence curve of hospitalized Shaken Baby Syndrome cases: Convergent evidence for crying as a trigger to shaking. Child Abuse and Neglect, 30(1), 7-17. https://doi.org/10.1016/j.chiabu.2005.06.009

Chao, C. T., Wang, C. W., Chiou, J. S., & Wang, C. J. (2015). An arduino-based resonant cradle design with infant cries recognition. Sensors (Switzerland), 15(8), 18934-18953. https://doi.org/10.3390/s150818934

Dadhaneeya, H., Nema, P. K., & Arora, V. K. (2023). Internet of things in food processing and its potential in Industry 4.0 era: A review. Trends in Food Science and Technology, 139, 240-255. https://doi.org/10.1016/j.tifs.2023.07.006

Elsisi, M., Mahmoud, K., Lehtonen, M., & Darwish, M. M. F. (2021). Reliable industry 4.0 based on machine learning and IOT for analyzing, monitoring, and securing smart meters. Sensors (Switzerland), 21(2), 487. https://doi.org/10.3390/s21020487

Ishtiaq Salehin, H. M., Joy, Q. R. A., Aparna, F. T. Z., Ridwan, A. T., & Khan, R. (2021). Development of an IoT based smart baby monitoring system with face recognition. In 2021 IEEE World AI IoT Congress, AIIoT 2021 (pp. 180-185). https://doi.org/10.1109/AIIoT52608.2021.9454187

Jabbar, W. A., Shang, H. K., Hamid, S. N. I. S., Almohammedi, A. A., Ramli, R. M., & Ali, M. A. H. (2019). IoT-BBMS: Internet of Things-based baby monitoring system for smart cradle. IEEE Access, 7, 161345-161354. https://doi.org/10.1109/ACCESS.2019.2928481

Joseph, S., Ajay Gautham, J., Kumar, A., & Harish Babu, M. K. (2021). IOT based baby monitoring system smart cradle. In 2021 7th International Conference on Advanced Computing and Communication Systems, ICACCS 2021 (pp. 1000-1005). https://doi.org/10.1109/ICACCS51430.2021.9442022

Joshi, M. P., & Mehetre, D. C. (2017). IoT based smart cradle system with an Android app for baby monitoring. In 2017 International Conference on Computing, Communication, Control and Automation, ICCUBEA 2017 (pp. 1-4). https://doi.org/10.1109/ICCUBEA.2017.8463676

Kapen, P. T., Mohamadou, Y., Momo, F., Jauspin, D. K., Kanmagne, N., & Jordan, D. D. (2019). Development of a neonatal incubator with phototherapy, biometric fingerprint reader, remote monitoring, and heart rate control adapted for developing countries hospitals. Journal of Neonatal Nursing, 25(6), 301-307. https://doi.org/10.1016/j.jnn.2019.07.011

Karanjkar, A. V., & Kumawat, R. (2022). Design of a smart baby cradle using Blynk and local customer priorities. SAMRIDDHI: A Journal of Physical Sciences, Engineering and Technology, 14(02), 91-95. https://doi.org/10.18090/samriddhi.v14i02.5

Kumar, V. S., Pullagura, L., Kumari, N. V., Pooja Nayak, S., Devi, B. P., Alharbi, A., & Asakipaam, S. A. (2022). Internet of things-based patient cradle system with an Android app for baby monitoring with machine learning. Wireless Communications and Mobile Computing, 2022, 1-11. https://doi.org/10.1155/2022/1140789

Lorato, I., Stuijk, S., Meftah, M., Kommers, D., Andriessen, P., van Pul, C., & de Haan, G. (2020). Multi-camera infrared thermography for infant respiration monitoring. Biomedical Optics Express, 11(9), 5032-5047. https://doi.org/10.1364/boe.397188

Markom, A. M., Yusoff, Z. M., Azissul, H. M., Alwi, N. H. M., Markom, M. A., & Muhammad, A. R. (2023). A smart monitoring baby cradle IoT-based system. AIP Conference Proceedings, 2431(1), 050006. https://doi.org/10.1063/5.0123887

Rajendran, N., Singh, R., Moudgil, M. R., Turukmane, A. V., Umadevi, M., & Glory, K. B. (2022). Secured control systems through integrated IoT devices and control systems. Measurement: Sensors, 24, 100487. https://doi.org/10.1016/j.measen.2022.100487

Rekha, S., Veena, R. C., Archana, J., Niveditha, N., & Brahmananda, S. H. (2020). An IoT smart cradle for tracking babies. International Journal of Advanced Science and Technology, 29(5), 1595-1602.

Saude, N., & Vardhini, P. A. H. (2020). IoT based smart baby cradle system using Raspberry Pi B+. In Proceedings of the 2020 International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing, ICSIDEMPC 2020 (pp. 273-277). https://doi.org/10.1109/ICSIDEMPC49020.2020.9299602

Sawant, A., Akhter, N., Bhatia, A., Shetty, A., & Bhabal, S. (2023). IoT powered smart stroller: A novel approach for infant monitoring and safety. In 2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023 (pp. 555-560). https://doi.org/10.1109/ICACCS57279.2023.10112742

Sun, S., Du, R., Chen, S., & Li, W. (2021). Blockchain-based IoT access control system: Towards security, lightweight, and cross-domain. IEEE Access, 9, 39178-39189. https://doi.org/10.1109/ACCESS.2021.3059863

Thopate, K., Gawade, M., Savale, V., Cholke, A., & Musale, P. (2023). Smart cradle: A technology-enabled solution for safer and better infant sleep. International Journal on Recent and Innovation Trends in Computing and Communication, 11(7), 39-45. https://doi.org/10.17762/ijritcc.v11i7.7849

Tupkar, A. B., Chahare, P., Rade, S., Wakade, R., & Bahirseth, S. (2020). Development of IoT based smart baby cradle. International Advanced Research Journal in Science, Engineering and Technology, 7(1), 13-16.

Downloads

Published

2024-09-01

How to Cite

Kamarul Ariffin, A. S., & Markom, A. M. (2024). Development of an IoT-Enabled Smart Baby Cradle for Enhanced Infant Monitoring and Parental Control. Journal of Computing Research and Innovation, 9(2), 72–84. Retrieved from https://jcrinn.com/index.php/jcrinn/article/view/434

Issue

Section

General Computing
Loading...