Falls are a leading cause of injury among older adults. According to the World Health Organization, approximately 37.3 million falls that are severe enough to require medical attention occur each year globally. In the United States alone, the Centers for Disease Control and Prevention reports that one in four Americans aged 65+ falls each year, and falls are the leading cause of fatal and non-fatal injuries among older adults.
Traditional fall detection systems often compromise privacy, require uncomfortable wearable devices, or are prohibitively expensive. Families and caregivers face the difficult task of ensuring safety without infringing on personal privacy or autonomy. Existing solutions may rely on cloud-based processing, raising concerns about data security and privacy breaches.
There is a critical need for a fall detection system that is both effective and respectful of personal privacy, providing peace of mind without sacrificing dignity or independence.
