Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …

With advances in medicine and healthcare systems, the average life expectancy of human
beings has increased to more than 80 yrs. As a result, the demographic old‐age …

As the world elderly population is increasing rapidly, the use of technology for the
development of accurate and fast automatic fall detection systems has become a necessity …

The emerging of new models in machine learning enhances the performance of algorithms
proposed to address several challenging tasks such as object recognition, classification and …

Mobility deteriorates with age, and falls become more frequent, resulting in injuries or even
death. However, many such injuries and deaths can be prevented, resulting in financial …

Artificial Intelligent (AI) systems generally require training data of sufficient quantity and
appropriate quality to perform efficiently. However, in many areas, such training data is …

With the rapid development of economy, science, and technology, the aging issues become
more and more serious. People aged above 65 have a risk of 28%–35% to fall. Among …

Environmental protection is a concept that uses information and communication technology
(ICT) for enhancing people's daily lives. Human fall detection is an effective environmental …

This paper addresses a potential concern faced by the majority of aged ones left
unaccompanied at home. Any untoward fall owing to poor health conditions or slippery …

Frailty is a significant issue in geriatric health, may cause adverse effects such as falls,
delirium, weight loss, or physical decline. Over time, various methods have been developed …