Smart living, an increasingly prominent concept, entails incorporating sophisticated
technologies in homes and urban environments to elevate the quality of life for citizens. A …

Abstract Systems for recognizing human activities are being developed as part of a larger
framework that will allow for continuous monitoring of human behavior in intelligent home …

The research in human activity recognition has gained prominence in various applications,
including healthcare, medical, and surveillance. The earlier popular techniques which relied …

Personalized health monitoring and prediction are indispensable in advancing healthcare
delivery, particularly amidst the escalating prevalence of chronic illnesses and the aging …

Stoke is a leading cause of long-term disability, including upper-limb hemiparesis. Frequent,
unobtrusive assessment of naturalistic motor performance could enable clinicians to better …

Abstract Human Activity Recognition (HAR) has become a significant area of study in the
fields of health, human behavior analysis, the Internet of Things, and human–machine …

Strain and acceleration signals are essential for accurate event recognition along submarine
cables. However, concise identification still poses challenges for prompt recognition and …

Controlling wheel slip during braking in vehicle tires is a challenging task due to the
complex behavior and highly nonlinear dynamics involved. Uncertainties arising from …

The purpose of this study is to deeply understand the psychological state of boxers before
the competition, and explore an efficient boxing action classification and recognition model …

As industrial cyber-physical systems (ICPS) play an increasingly pivotal role in the new
industrial paradigm, their sustainability has become the current research focus. Remaining …