Paper Key : IRJ************889
Author: Albin Sibi,Ashwin Manoj ,Jeeson Jose ,Jeswin Cinze ,Dr.jesna Anver
Date Published: 22 Mar 2025
Abstract
The convergence of Internet of Things (IoT) tech-nologies and emotion recognition systems has transformed the healthcare sector through real-time tracking and individualized care. IoT devices, integrated with vital signs monitoring sensors, offer continuous monitoring of physiological metrics like heart rate, blood pressure, temperature, and oxygen saturation levels. Meanwhile, emotion recognition systems scan facial expressions, voice tone, and other non-verbal indicators to measure psycho- logical states. The integration of these two areas results in an extensive healthcare framework that addresses both physical and psychological health.This review summarizes findings from various studies to demonstrate the developments, challenges, and future directions in the integration of IoT and emotion recognition technologies within healthcare. System architectures and paradigms of real- time data acquisition, processing, and analytics are discussed and highlighted for their potential to deliver improved patient outcomes. Challenges, such as security of data, interoperability, and computational power limitations of IoT devices, are pre- sented alongside ongoing solutions like edge computing, federated learning, and lightweight artificial intelligence models.In addition, the paper highlights gaps in present systems, including the absence of demographic diversity in emotion data sets and the poor scalability of present IoT implementations. It suggests directions for future work in the form of developing diverse data sets, ethical AI paradigms, and resilient, resource- efficient IoT systems. Through filling the gap between patient- centric care and technological advancement, the confluence of IoT and emotion detection systems promises to revolutionize the delivery of healthcare, making it more efficient, accessible, and compassionate.
DOI Requested