Automatic Monitoring and Detection System for Elderly and Physically Disabled People

– There has been a marked increase in the number of elderly people, which can be directly correlated to the various advancements in the area of Health care. There are medicines and vaccines for the majority of serious illnesses, which has increased average life expectancy by a large margin. There is also an increase in the number of smaller nuclear families, which has also increased the incidences of elderly people living alone. This is an alarming sign as due to old age; a person is unable to take care of themselves. There is also a possibility that they lose balance and fall, which is a very common occurrence in elderly people as the old age negatively, impacts their balance. These falls can cause a lot of damage to the person and if timely assistance is not provided, it can actually be fatal. Therefore, to provide a solution to this problem, the proposed system utilizes Recurrent Neural Networks to implement image processing. The presented technique utilizes cameras to track the subject frame by frame and looks for signs of a fall through pixel displacement and region of interest. If a fall occurs, the system then informs the relatives and the doctors through a text message for timely action Falls are abnormal activity events that occur infrequently; however, they are serious health problems among elderly individuals. With the advancements of technologies, falls have been widely studied by scientific researchers to minimize serious consequences and negative impacts