With a widespread of various sensors embedded in mobile devices, the analysis of human
daily activities becomes more common and straightforward. This task now arises in a range …

Human activity recognition (HAR) is currently recognized as a key element of a more
general framework designed to perform continuous monitoring of human behaviors in the …

Abstract Human Activity Recognition (HAR) is an essential area of research related to the
ability of smartphones to retrieve information through embedded sensors and recognize the …

Pedestrian navigation activity recognition (PNAR) has a significant impact on positioning
and tracking performance. Smartphone-based PNAR utilizes measurements from sensors …

Abstract According to the Sustainable Development Agenda 2030 of the World Health
Organization, maintaining physical activities have multiple societal privileges for healthier …

In recent years, human activity recognition has become a hot topic inside the scientific
community. The reason to be under the spotlight is its direct application in multiple domains …

Recognizing human physical activities from streaming smartphone sensor readings is
essential for the successful realization of a smart environment. Physical activity recognition …

Human activity recognition has been widely used in healthcare applications such as elderly
monitoring, exercise supervision, and rehabilitation monitoring. Compared with other …

Recognition of human actions from visual contents is a budding field of computer vision and
image understanding. The problem with such a recognition system is the huge dimensions …

Time series classification is one of the most critical and challenging problems in data mining,
which exists widely in various fields and has essential research significance. However, to …