A Systematic Review of IoT-Enabled Assistive and Health-Monitoring Technologies for Individuals with Severe Motor Disabilities

Rapid progress in IoT, embedded devices, robotics, and HMIs has led to newer assistive tools for individuals with movement difficulties, nerve-muscle disorders, or ongoing health issues. This review brings together five up-to-date studies focusing on body-worn monitors, smart wheelchairs, tongue-based controls, and robot helpers. Sensing methods, decision-making approaches, data transfer techniques, structure of systems, along with testing procedures are examined per study. Comparisons show wide differences - like using first-person view cameras in chairs versus mouth-mounted induction sensors for complex motion help. Key flaws emerge: few real users tested, some machines need constant input, poor compatibility between parts, little assessment over extended medical use. This review highlights new chances for integrated systems using AI that combine movement assistance, health monitoring, and flexible interface options. Findings show progress depends on teamwork, practical design, and evidence based development to shift early models into everyday use.