Early Detection Framework for Gait Disorders Using an IoT LiDAR-Based Monitoring System in Outdoor Spaces

In the pursuit of advancing healthcare technologies and promoting the well-being of the elderly population, this paper presents a conceptual framework for early detection of gait disorders through public IoT-based health monitoring. As global life expectancy continues to rise, there is an increasing need for unobtrusive health monitoring systems that can facilitate the early identification of health issues, particularly among the elderly. While many healthcare monitoring technologies exist, their limited accessibility and deployment in controlled environments or healthcare facilities present challenges. To address this, our innovative concept proposes a smart IoT-based outdoor health monitoring system, specifically designed for public spaces such as parks and supermarkets. This system aims to collect data on mobility, posture, and gait, recognising the crucial role that gait plays in an individual's well-being. The proposed system leverages the power of the Internet of Things (IoT) to gather data seamlessly from individuals in their everyday environments, creating a more holistic and real-world understanding of their health. By analysing gait patterns and deviations, our conceptual framework aims to serve as an early warning system for health-care providers, caregivers, and individuals themselves, alerting them to potential health concerns and enabling proactive intervention. This concept, while in its early stages, holds immense promise for addressing the challenges of an ageing population and reducing healthcare disparities. It aligns with the broader vision of harnessing emerging technologies to enhance the quality of life for the elderly.