International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 02 | Feb 2025
p-ISSN: 2395-0072
www.irjet.net
A Smart Wearable Pendant for Elderly Safety: Fall Detection and Health Monitoring System Sanidhya S. Amrutkar1*, Hrushikesh B. Kulkarni2 1,2 School of Mechatronics Engineering,
Symbiosis Skills and Professional University, Kiwale, Pune-412101 (Maharashtra) India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - With the escalating aging population,
but require further refinement in accuracy and validation in real-world scenarios. The study suggests that integrating multiple sensors and machine learning models can significantly enhance fall detection efficiency and reliability.
ensuring the safety and well-being of senior individuals is a growing concern. This paper presents a portable pendant designed for elderly users, embedding fall detection, heart rate monitoring, and oxygen saturation (SpO2) measurement. The device utilizes impact-detecting sensors, accelerometers, and biomedical sensors to provide real-time health data and emergency alerts. This study discusses the design, functionality, and potential impact of the proposed wearable pendant in enhancing elderly care.
Warrington et al. (2021)[3] evaluates various wearable sensor technologies and their effectiveness in assessing fall risks. It concludes that a combination of inertial sensors and AI-driven models can improve detection reliability. Future research should focus on user-friendly designs and conducting real-world testing across diverse populations to ensure practical applicability.
Key Words: Elderly care, Smart pendant, Elderly care, Fall detection, IoT in healthcare, Remote patient monitoring, Smart jewelry, Health monitoring etc.
Moore et al. (2021) [4] emphasizes that ease of use, comfort, and privacy concerns are critical factors affecting the adoption of wearable health-monitoring devices. While continuous health monitoring provides reassurance to elderly users, better integration with healthcare services is necessary. Developers should prioritize user-centered designs and intuitive interfaces to enhance engagement and usability.
1.INTRODUCTION As mature adults face a boost’s the risk of falls and health complications, there is a need for smart wearable solutions that can provide constant supervision. Conventional emergency alert systems require user intervention, which may not be feasible in critical situations. The proposed pendant addresses this gap by incorporating automatic fall detection and vital sign monitoring in a compact, user-friendly design.
Chaudhuri et al. (2014) [5] finds that wearable fall detection devices significantly reduce emergency response times, improving safety for elderly individuals. However, false alarms and issues related to wearability remain major challenges, limiting widespread adoption. Future advancements should focus on improving sensor accuracy, optimizing device aesthetics, and ensuring seamless adaptability for daily use.
Elderly care involves ensuring safety, health, and quality of life through continuous monitoring. Key health parameters include fall detection, heart rate, oxygen saturation, and activity tracking. Falls are a primary reason for injury among older adults, making rapid detection and response critical. Additionally, monitoring vital signs helps in early detection of cardiac or respiratory issues.
The presented pendant is designed to address these challenges efficiently. It integrates accelerometers for fall detection, biomedical sensors for heart rate and SpO2 monitoring, and wireless communication for real-time emergency alerts. Its compact and wearable design ensures ease of use, while automated alerts enhance caregiver response. By combining affordability with advanced health tracking, the device aims to improve elderly safety and reduce healthcare burdens.
(Wu et al., 2015) [1] Demonstrated the potential of using wearable sensors for real-time fall detection and emergency alert transmission from sensors. The system proficiently differentiates between falls and normal activities through high-level algorithms, boosting robustness. Future research should focus on perfecting detection accuracy and improving user comfort to inspire long-term usage. Delahoz et al. (2014)[2] Outlines the strengths and weaknesses of current fall detection technologies. Wearable sensors offer a promising solution
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