Design

As the global population ages, ensuring the safety and well-being of elderly individuals has become increasingly important. Falls are a major concern for the elderly, often leading to serious injuries, loss of independence and in severe cases, death. According to the World Health Organization, falls are the second leading cause of accidental injury deaths worldwide, with older adults being the most affected group. In addition to physical injuries, falls can also result in psychological consequences, such as a fear of falling, which can further reduce the quality of life and increase the risk of future falls. Therefore, the timely detection of falls and prompt notification to emergency services can significantly mitigate the adverse outcomes associated with such incidents, providing both immediate and long-term benefits for the elderly. Furthermore, it is extremely important to know what type of fall has taken place, so the emergency services have the information they need right away.

In response to this pressing issue, FallSense has been developed as an intelligent interactive product designed to detect types of falls among the elderly and notify the appropriate emergency services. FallSense addresses the critical need for a reliable and efficient fall detection system that not only ensures rapid response but also provides immediate reassurance to the user through visual feedback. By combining advanced sensor technology and machine learning algorithms, FallSense offers a sophisticated solution that can accurately distinguish between falls and normal daily activities, thereby reducing false alarms and ensuring that help is dispatched only when truly needed and with the information they need.