Advancements in Smart Sensor Technology for Enhanced Health Monitoring in Smart Watches
G. Jeeva, P. Mahalakshmi, S. Thenmalar
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100% confidenceInternational MES research in ai-systems with focus on artificial-intelligence, iot-smart-systems, performance. The integration of smart sensors in wearable devices, particularly smart watches, has revolutionized the landsca...
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Abstract
The integration of smart sensors in wearable devices, particularly smart watches, has revolutionized the landscape of personal health monitoring. This review paper provides a comprehensive analysis of recent advancements in smart sensor technology and their application in smartwatches for health monitoring. The paper begins with an overview of the evolution of smartwatches and their transition from timekeeping devices to sophisticated health monitoring tools. It then delves into the key components of smart sensor technology, encompassing biometric sensors, environmental sensors, and activity trackers. The review extensively covers the diverse range of health parameters that can be monitored by smartwatches, including physical activity levels, oxygen saturation, blood pressure, and heart rate. Furthermore, the paper evaluates the accuracy and reliability of these sensors, considering factors such as sensor placement, calibration, and data processing techniques. The paper also explores the potential integration of machine learning and artificial intelligence in data analysis and interpretation, highlighting their potential to enhance the effectiveness and efficiency of smartwatch health monitoring. In addition, the review addresses challenges and limitations associated with smartwatch health monitoring, including privacy concerns, data security, and battery life. This paper provides an up-to-date overview of smart sensor technology as applied to health monitoring in smartwatches. It serves as a valuable resource for researchers, healthcare professionals, and technology enthusiasts interested in understanding the potential and limitations of this rapidly evolving field.
Keywords
Identifiers
- Journal
- Advanced Computing Solutions for Healthcare
- Year
- 2025