Preliminary Fall Detection/Prediction Data Science Project

Fall detection systems, are targeted to older adults living alone to identify fall events and mitigate prolonged wait times to treat injuries typically. These systems use a wearable, such as a Ffitbit or Apple watch, paired with an algorithm to detect falls and alert caregivers or emergency services. However, large variability in type and circumstances of falls (e.g., from a small height with low impact) are a problem when trying to accurately detect and predict falls.