IoT-Enabled Solutions for Mental Health: Enhancing Monitoring and Support Systems

EasyChair Preprint 15297

Abstract

IoT has emerged as a game-changing technologyfor the mental health clinical and care environment, providing immense potential for improvement. The paper entitled ”IoTbased integrating physical and mental health monitoring and support system” described recent advances, applications, and challenges of such technologies in mental health monitoring and support systems. Accordingly, we review different IoT-based strategies that will enable conditions to improve in people’s mental health by real-time data collection, remote monitoring, and personalized interventions. By using wearable devices, smart sensors, and connected platforms, the IoT systems can continuously monitor the physiological and behavioral markers for timely and accurate support of mental health. A few of the main applications that involve mood monitoring, stress management, and crisis intervention are discussed in this paper. It also throws light on benefits in patient outcomes and healthcare efficiency achieved by solutions enabled by IoT. Some of the technical and ethical challenges of IoT in mental health are pointed out by us: data privacy, data security, and issues with regard to userfriendly interfaces. Based on a comprehensive review of current research and case studies, this paper attempts to highlight how IoT technologies could potentially transform mental health care in an effort to identify future research directions toward further development and integration

Keyphrases: IoT (Internet of Things), Mental Health Monitoring, Personalized interventions, Real-time data collection, wearable technology

@booklet{EasyChair:15297,
  author    = {Harkirat Singh and Yash Garg and Prachi Prachi},
  title     = {IoT-Enabled Solutions for Mental Health: Enhancing Monitoring and Support Systems},
  howpublished = {EasyChair Preprint 15297},
  year      = {EasyChair, 2024}}