Age Guardian: Sentinel for Elderly Safety through IoT powered Fall Detection and Wellness Assurance
Biresh Kumar, Sanyam Anand, Rahul Deo Sah · 2024
Among the elderly, falls are a common and crippling problem that frequently results in serious injuries and a loss of independence. This in-depth research explores the world of fall detection technology created to handle this pressing issue. It delves into the technical foundations of these tools, illuminating the different sensors, algorithms, and communication protocols that allow them to precisely detect falls. Statistics on the frequency and effects of falls are used in the study to support the necessity of fall detection in the context of elder care.Important players, market size, growth patterns, and competitive environments are revealed by a detailed market analysis. We look closely to the requirements and concerns of the user, including comfort, privacy, and ease of use. Testimonials and case studies from the real world offer useful information on how well various gadgets work. The paper also addresses the issues of false alarms and accuracy, the affordability and cost aspects, and future directions in fall detection technology. To sum up, it provides insightful advice for senior citizens, their carers, medical professionals, and legislators with the goal of enhancing their quality of life and safety.The paper explores the fundamental technologies of these gadgets—sensors, algorithms, and communication networks—and emphasizes how well they detect falls and notify caretakers or medical personnel. The paper highlights the critical need for effective solutions by providing statistics on the frequency and consequences of falls among the elderly, recognizing the deep significance of fall detection.A thorough market study provides prospective investors and consumers with insights by exposing the major companies in the fall detection device business, along with their market share, growth trends, and competitive landscape.