Design and Development of IoT-Based Stadiometer
DOI:
https://doi.org/10.64137/31079458/IJCSEI-V1I2P101Keywords:
Height measurement, weight measurement, smart health monitoring, load cell sensor, ultrasonic sensor, microcontroller, sensor calibration, healthcare automationAbstract
This paper presents the design, development, and deployment of an IoT- based height and weight measuring machine, providing real-time and automated measurement of height and weight through integrated sensors. The system employs ultrasonic and load cell sensors connected to an Arduino-based microcontroller, which processes and transmits the data via wireless communication to a cloud-based system. The cloud platform enables remote access, real-time monitoring, and data storage. The proposed solution is cost-effective, scalable, and capable of enhancing personalized health management while supporting healthcare professionals by providing accurate and accessible health data. This paper outlines the system architecture, methodology, results, and future prospects of the system
References
[1] T. Williams et al., "Designing a Smart Stadiometer: From Concept to Prototype," Proceedings of the IEEE International Conference on Internet of Things (IoT), 2019. Available: https://ieeexplore.ieee.org/document/8724 391
[2] B. Johnson and C. Williams, "Wireless sensor networks for healthcare applications," IEEE Transactions on Health Informatics, vol. 22, no. 3, pp. 1120-1127, 2019. Available: https://ieeexplore.ieee.org/document/87645 32
[3] X. Zhang, "Ultrasonic sensors for height measurement in healthcare," Journal of Sensor Technology, vol. 15, pp. 78-82, 2018. Available: https://www.sciencedirect.com/science/articl e/abs/pii/S2214377917300389
[4] T. Williams et al., "Designing a Smart Stadiometer: From Concept to Prototype," Proceedings of the IEEE International Conference on Internet of Things (IoT), 2019. Available: https://ieeexplore.ieee.org/document/87243 91
[5] M. Turner and S. Lee, "Internet of Things for Health Monitoring: Challenges and Opportunities," IEEE Access, vol. 8, pp. 76353- 76362, 2020. Available: https://ieeexplore.ieee.org/document/9103802


