ABSTRACT
Fall is considered to be one of the major health problems for senior adults. According to a report published by World Health Organization, early fall detection is an active problem in the old age group people. The report showed that the falling problem affects 28%–35% of people around 65 years of age and 32%–45% for those over 70 years. So this domain has attracted the attention of researchers to search for an affordable and easy to use solution. This remained an open challenge as no uniformly acceptable solution could be provided so far. The scientists have proposed multiple solutions based on different approaches in providing a successful patient care system (PCS).
In this chapter, we have tried to discuss the different state of the art methodologies proposed by the researchers in recent time. This chapter is aimed to provide a brief idea about this research domain starting with very basic concepts. A prototype fall detection system developed by the authors are discussed in the latter part of the chapter that is useful to show one practical implementation of such a system. This prototype, on the testbed, showed an accuracy of 94.45%.
