Falls are a large concern for the aging population. Around a third of elderly people 65 years or older fall each year, and a half of those who do fall tend to fall more than once. As age increases, tendency to fall as well as the injuries one might sustain from falling likewise increases. In the United States, fall-related emergency visits are estimated to be around 3 million per year. It is imperative to find the most accurate way to detect falls to help mitigate the disastrous effects of such injuries. A device based upon physiological sensors and a user-worn camera could be used to accurately detect falls, the environment in which a person has fallen, and their internal physiology without immediate external assistance. This information could then be used to treat a patient that has fallen more quickly and effectively.