Fall Detection Using Wearable Sensors in Loose-Fitted Clothing: A Survey

Human activity monitoring is a crucial research area with diverse applications.Among the essential systems within this domain are fall detection systems, which are widely used in elderly care, sports performance analysis, and workplace safety.This study reviewed approximately 10 research papers focused on human activity monitoring and fall detection, revealing the challenge of limited studies in these fields.A significant issue arises when monitoring activities involving loose-fitting clothing, as the movement of such garments generates noise, complicating detection compared to tightly attached sensors.Fall detection is commonly achieved using wearable technologies equipped with various sensors, including inertial sensors, which are preferred for their affordability, simplicity, and privacy benefits.Despite their widespread application, most studies assume that sensors are firmly attached to the body, overlooking the noise caused by loose clothing.This research reviews advancements in fall detection systems and highlights methods for addressing loose clothing challenges.It identifies gaps in the literature and proposes approaches to enhance sensor accuracy in scenarios where loose-fitting garments are involved.