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.
TopMethodology
In terms of the method, the review presents a meta-ethnographic synthesis of studies on ambient assisted living (AAL) technologies. Qualitative research reporting on the experiences of using AAL systems to aid the elderly was the focus of the present review. The author paid particular attention to professional understandings of AAL, whether they influence practice and the hurdles and facilitators that older people face when seeking help for AAL. By combining the perspectives of experts with different roles and responsibilities, we may better understand the situation in which older people seek AAL's aid. The goal is that this information will shed light on effective strategies used by experts and show where more AAL help needs to be given.
The following were the criteria for inclusion and exclusion:
The researcher carefully read each piece. Using our proforma review approach, it was decided if they were pertinent enough to the study to merit further investigation. Use this tool to gather data on the arguments made in each item, their conclusions, and an assessment of their attributes. As a result, the assessment procedure carefully assessed the overall calibre of the research (Komalasari et al., 2022). The following figure 1 illustrates the specific method.
TopResult
According to a literature study, this section summarizes the results. Automated home systems use a distributed sensory system to collect information about human environments, then decide and activate actuators based on that data to control specific home gadgets, perform specific activities, or share data with other systems outside the house. There is a strong connection between the AAL home name and this central concept. A smart space, a warehouse, or an AAL home that uses collaborative ambient intelligence are all terms that may describe an AAL home. Elderly people may get a variety of home support, controlled medicine, fall prevention, and security measures from AAL houses with these characteristics. These solutions help elderly individuals feel safe and comfortable in their own homes. With AAL, family members may keep tabs on their elderly loved ones from anywhere they have Internet access (Scataglini & Imbesi 2021).
Across the globe, there are a variety of laboratory studies, initiatives, and industrial demonstrations using AAL houses that have many of the same characteristics. Looking at the goals these initiatives strive for, there are many technologies, information sources, methods of validating results, and results they use.
Key Terms in this Chapter
Intelligent Support Systems (ISS): Systems with intelligent support help people make decisions that call for the application of knowledge, instinct, experience, and competence.
Ambient Assisted Living (AAL): Is the use of tools and strategies to make sure that elderly residents of the home remain secure and may age in situ. Smart gadgets, wireless networks, software, computers, and medical sensors are all included.