Statistical Assessment of Ambient Assistive Techniques by Elders to Enhance Their Well Being From Fall Events

The importance of fall detection techniques in the developing and developed nations due to the increase in elder population has been discussed in many studies. Their results encouraged many researchers and industries to design new assistive living products to enhance the wellbeing of elders. Meanwhile, no previous researches discussed the importance to involve the elders in their design. Due to this, the elders have less awareness and adaption towards those techniques. In this paper, elders were given a questionnaire to find out their attitude and awareness towards various ambient assistive techniques concerning fall detection. Results revealed that most of the elders see that presence of fall detection is very important. Moreover, there were significant differences between ambient assistive techniques. The study findings assess their nature and adaptability level by the elder and are important to researchers and industries for the design and implementation of ambient assistive techniques in the future.

A Survey of Ambient Intelligence

Ambient Intelligence (AmI) is the application and embedding of artificial intelligence into everyday environments to seamlessly provide assistive and predictive support in a multitude of scenarios via an invisible user interface. These can be as diverse as autonomous vehicles, smart homes, industrial settings, and healthcare facilities—referred to as Ambient Assistive Living. This survey gives an overview of the field; defines key terms; discusses social, cultural, and ethical issues; and outlines the state of the art in AmI technology, and where opportunities for further research exist. We guide the reader through AmI from its inception more than 20 years ago, focussing on the important topics and research achievements of the past 10 years since the last major survey, before finally detailing the most recents research trends and forecasting where this technology is likely to develop. This survey covers domains, use cases, scenarios, and datasets; cultural concerns and usability issues; security, privacy, and ethics; interaction and recognition; prediction and intelligence; and hardware, infrastructure, and mobile devices. This survey serves as an introduction for researchers and the technical layperson into the topic of AmI and identifies notable opportunities for further research.