Integration of Smart Technologies for the Elderly in Home-Based Fall Prevention Systems: A Systematic Review
Gao Sen, Julina Ismail Kamal, Dongxia Guan · International Journal of Academic Research in Business and Social Sciences · 2025
The increasing global aging population has led to a surge in falls among the elderly, which has emerged as an escalating public health concern. Despite active research on fall detection and prevention in older adults, addressing this complex issue requires the integration of multiple advanced technologies and theoretical underpinnings. This study employs a systematic review approach to comprehensively examine the latest technologies and algorithms available for preventing falls in elderly households. Specifically, it provides an overview of various techniques employed for fall monitoring along with their respective advantages and disadvantages. Likewise, it discusses the application, accuracy, and reliability of advanced detection algorithms. The paper also evaluates design principles and methodologies for developing fall prevention systems tailored to older adults, emphasizing the importance of privacy protection and social support as critical factors. The identification of critical challenges and the proposal of prospective research directions are discussed. The conclusions drawn from this review are intended to provide researchers, service providers, and designers with a comprehensive understanding of current advanced technologies and potential future directions in the field of elderly home fall prevention.