IoT – BASED WEARABLE TECHNOLOGY FOR ELDERLY CARE
Abstract & Details
Research Area
Internet of Things Engineering
Keywords
Body-Tilt Communication
Smart Gloves
Flex Sensors
Arduino Nano
MPU6050
NodeMCU
Pulse
SPO₂
Temperature
IoT Alerts
Machine Learning.
Abstract
This project introduces a unified assistive system designed to support individuals with paralysis by improving communication, continuous health tracking, and emergency responsiveness. The solution integrates two primary subsystems: a torso-tilt communication interface and sensor-enabled smart gloves. The tilt-based module employs an MPU6050 sensor paired with an Arduino Nano to interpret subtle upper-body movements and convert them into predetermined messages delivered through IoT notifications. The smart gloves utilize flex sensors to recognize fingerbased gestures that can trigger commands or emergency alerts. Additionally, a health monitoring unit measures pulse rate, oxygen saturation, and body temperature using biomedical sensors connected to Arduino and NodeMCU for real-time cloud transmission. Machine learning models—including Support Vector Classifier, Random Forest, and Decision Tree—analyze these parameters to detect abnormalities and automatically alert caregivers. Together, these integrated components enhance the independence of paralyzed individuals, promote timely caregiver interaction, and support proactive health management.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Kalidass M | Sri sairam college of engineering. Anekal |
| 2 | Manthri Kavyashree | Sri sairam college of engineering. Anekal |
| 3 | Bhanu Smitha | Sri sairam college of engineering. Anekal |
| 4 | Yogesh VG | Sri sairam college of engineering. Anekal |
| 5 | Sindhu A | Sri sairam college of engineering. Anekal |
How to Cite
Use the following formats to cite this article in your research.
APA Style
M, Kalidass, Kavyashree, Manthri, Smitha, Bhanu, VG, Yogesh, & A, Sindhu (2025). IoT – BASED WEARABLE TECHNOLOGY FOR ELDERLY CARE. International Journal of Advance Research and Innovative Ideas In Education, 11(6), 751-760.
MLA Style
M, Kalidass, et al. "IoT – BASED WEARABLE TECHNOLOGY FOR ELDERLY CARE." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 6, 2025, pp. 751-760.
IEEE Style
Kalidass M, Manthri Kavyashree, Bhanu Smitha, Yogesh VG, and Sindhu A, "IoT – BASED WEARABLE TECHNOLOGY FOR ELDERLY CARE," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 6, pp. 751-760, 2025.
Vancouver Style
M Kalidass, Kavyashree Manthri, Smitha Bhanu, VG Yogesh, A Sindhu. IoT – BASED WEARABLE TECHNOLOGY FOR ELDERLY CARE. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(6):751-760.
Harvard Style
M, Kalidass, Kavyashree, Manthri, Smitha, Bhanu, VG, Yogesh, & A, Sindhu (2025) 'IoT – BASED WEARABLE TECHNOLOGY FOR ELDERLY CARE', International Journal of Advance Research and Innovative Ideas In Education, 11(6), pp. 751-760.
Chicago Style
M, Kalidass, et al. "IoT – BASED WEARABLE TECHNOLOGY FOR ELDERLY CARE." International Journal of Advance Research and Innovative Ideas In Education 11, no. 6 (2025): 751-760.
Turabian Style
M, Kalidass, et al. "IoT – BASED WEARABLE TECHNOLOGY FOR ELDERLY CARE." International Journal of Advance Research and Innovative Ideas In Education 11, no. 6 (2025): 751-760.
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