All of the articles in this proceedings volume have been presented at the IoT and LiDAR Technologies in Healthcare Workshop during 25-29, November-2024 in Zakhir Hussain Lecture Hall Complex, School of Computer and Information Sciences, University of Hyderabad, Hyderabad, Telangana, India. These articles...

Integrating sensor-based smart environments on the Internet of Things can continuously monitor human daily activities and alert caregivers to early signs of cognitive decline or mobility issues. This chapter presents one such sensor the Light Detection and Ranging (LiDAR) sensors that are effective for...

This chapter explores the transformation of the healthcare sector through the convergence of technological advancements and a growing emphasis on patient-centered care. We talk about the importance and role of participatory medicine not only in clinical practice but also in medical education. Our work...

This chapter is the succeeding section to Chapter 2 based on Participatory Medicine Models and Learning. The roots of telemedicine grew decades ago and is revolutionizing healthcare. But why do we need telemedicine and what exactly is telemedicine? The following chapter answers these questions with in...

The Socio-economic Right to Health is a quintessential phenomenon, having huge impact on to the lives of the people enabling humans to live with dignity and is a significant component of Human Rights. In this modern globalized international legal regime, every innovation is a subject of public trust...

Gait analysis is the systematic study of locomotion, particularly focusing on human movement. It combines observations made by trained individuals with instrumentation that measures body movements, mechanics, and muscle activity. Gait analysis is employed to assess and treat individuals whose ability...

The Internet of Things (IoT) has brought significant advancements in health monitoring by creating smart environments where interconnected devices can collect and share health data in real-time. IoT systems can integrate various data sources, offering a comprehensive view of an individual’s health status....

Observational and vision-based gait analysis involves the systematic examination of an individual’s walking patterns through visual assessment and advanced imaging techniques. This chapter presents the science and technological methods that enable the detailed observation of movement dynamics, allowing...

Leveraging the advanced capabilities of AI, real-time detection of gait anomalies through LiDAR technology is revolutionizing healthcare monitoring. This innovative approach enables precise and immediate assessment of patients’ walking patterns, highlighting deviations that may indicate underlying health...

This chapter presents the AI-Driven Real-Time detection of Gait anomalies utilizing LiDAR Technology for Advanced Healthcare Monitoring. This innovative approach leverages cutting-edge artificial intelligence and sophisticated Light Detection and Ranging technology to track and analyze individuals’ gait...

This chapter explores the integration of Light Detection and Ranging (LiDAR) data with multimodal systems such as Visual Question Answering (VQA) to enable robust contextual understanding. The chapter begins with an overview of VQA, including its architecture, various modeling approaches, and practical...