Automatic identification of human interaction is a challenging task especially in dynamic
environments with cluttered backgrounds from video sequences. Advancements in computer …

Human activity recognition (HAR) using inertial motion data has gained a lot of momentum
in recent years both in research and industrial applications. From the abstract perspective …

The purpose of this study was to classify, and model various physical activities performed by
a diverse group of participants in a supervised lab-based protocol and utilize the model to …

Cut-in behavior commonly occurs in both urban and highway driving. Rear-end collisions
happen when the lag vehicles cannot predict this abnormal lane change behavior of the …

Purpose Authenticating an individual through voice can prove convenient as nothing needs
to be stored and cannot easily be stolen. However, if an individual is authenticating under …

Sleep is the most important thing to rest our brain and body. A lack of sleep has adverse
effects on overall personal health and may lead to a variety of health disorders. According to …

Abstract Machine learning (ML)-based parameter estimation and classification have been
receiving great attention in data modelling and processing. The Gaussian mixture model …

Collectively, society has begun to borderline obsess with ability to monitor our physical
activity. A plethora of devices now exist to monitor steps, heart rate, sleep pattern, and many …

Abstract Machine learning (ML) has played an important role in several modern
technological innovations and has become an important tool for researchers in various fields …