The proposed fall detection approach is aimed at building a support system for the elders. In
this work, a method based on human pose estimation and lightweight neural network is …

Fall accidents cause great harm to the elderly. Fall detection becomes an important research
topic as the elderly population grows. In the research field of signal processing, many fall …

This research study's primary goal is to identify all the toxic comments on social media
including hate, abusive, obscene, threat and insulting comments in a dataset where the …

In today's society, the phenomenon of elderly people getting lost and accidentally falling
often occurs, and the death caused by falling without timely assistance has become a public …

Accidents by not wearing helmet infractions are now a big problem for most emerging
nations in the modern, changing world. Both the number of vehicles on the road and the …

Falling is often an unexpected event that can affect the health and safety of persons and
objects. Fall detection algorithms have been designed to take advantage of the multitude of …

Internet of Medical Things (IoMT) or Healthcare IoT is a technological under IoT catering to
the healthcare sector. It refers to the interconnection of medical devices, sensors …

To live a life of high quality, elderly people require proper care, attention, and assistance for
their day-to-day life activities. Due to a lack of appropriate systems and infrastructure, at …

Smart cities have many applications for intelligent learning environments, and monitoring
student attendance in class is a crucial step in encouraging punctual attendance and …

One of the main causes of death worldwide is traffic accidents. In this chapter, IoT-based
accident detection is discussed which provides warning before the situation becomes …