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Abstract: This project introduces a revolutionary Fall Detection System for Elderly Care, focusing on swift detection and immediate response to falls, particularly among wheelchair-bound seniors. In response to the escalating challenges posed by an aging population, Especially concerning the well-being of the elderly, the development of innovative solutions has become imperative. Central to these concerns is the prevalence of falls among seniors, which not only jeopardizes their physical health but also threatens their independence. Conventional fall detection methods have proven inadequate in providing timely assistance, underscoring the critical need for more advanced technologies. This project addresses this pressing need through the creation of a comprehensive Fall Detection System, with a specific focus on wheelchair-bound individuals. By seamlessly integrating state-of-the-art hardware and software components, the system aims to revolutionize elderly care by prioritizing safety and autonomy. At its core, the system utilizes the MPU6050 sensor module, renowned for its precision in monitoring body position and movement. Through the implementation of sophisticated algorithms, the software component meticulously analyzes real-time sensor data to swiftly detect falls. Upon detection of a fall event, the system autonomously triggers alerts to nearby healthcare services or designated contacts, ensuring a rapid response and timely provision of assistance to the elderly individual in need.
Padmaja et al. (Wed,) studied this question.