This review presents the state of the art and a global overview of research challenges of real-
time distributed activity recognition in the field of healthcare. Offline activity recognition is …

The healthcare benefits associated with regular physical activity monitoring and recognition
has been considered in several research studies. Solid evidence shows that regular …

With the increase in the dependency of our life on technology and data, smart spaces have
become integral in providing an environment for data collection, analysis, and machine …

Smart spaces have become an integral part of our daily routines to improve quality of life for
many different groups of people. The use of embedded systems to build these smart spaces …

This paper presents a technique for detecting the routine of the daily activities of a person
and the deviations from this. The technique proposed has three main steps. The first step …

The problem with bodyweight management is the inability to calculate the number of
calories burned and consumed. Many applications can help to calculate it and one of them …

Non-intrusive human activity detection and prediction is an important and challenging
problem in smart and pervasive spaces. The advantages of such a design are the reduced …

Advancements in sensor technology, expanded analytical skills, and advancement in the
field of Machine Learning (ML) and Deep Learning (DL), have all resulted in a substantial …

In this paper, the healthcare revolutionizing technology of Smart Spaces is defined,
examined, and implemented across three use case scenarios: Smart Gym, Smart Hospital …

In recent years, gesture or activity recognition is an important area of research for the
modern health care system. An activity is recognized by learning from human body postures …