Affiliation:
1. Yarsi University, Indonesia
Abstract
There is significant interest in the development and implementation of smart and intelligent ambient assisted living (AAL) systems that can give daily support to help older people live independently in their homes. Additionally, such systems will lower the expense of healthcare that governments must bear in order to provide support for this group of residents. It also relieves families of the burden of constant and often tedious round-the-clock surveillance of these individuals, allowing them to focus on their own lives and commitments. As a result, recognition, classification, and decision-making for such people's daily activities are critical for the development of appropriate and successful intelligent support systems capable of providing the essential assistance in the correct manner and at the right time.