We propose a novel Data Quality with Security (DQS) integrated instrumentation selection
approach that facilitates aggregation of multi-modal data from heterogeneous sources. As …

Recognition of human activities using wearable sensors is essential for applications related
to health and well-being. However, the complex data captured by inertial sensors poses …

This study delves into the utilization of wearable devices equipped with inertial
measurement units (IMUs) to gather data for human activity recognition. It explores the …

This paper presents a novel approach of integrating sensor accuracy and sensor platform
security in overall sensor system evaluation and presents a new developed method and a …

Investigating the intricate dynamics of complex video gestures in gym activities enhances
our understanding of human movement, offering opportunities to improve performance …

Accurately classifying physical activity is a big undertaking in a variety of industries, from
healthcare to sports analytics. Physical activity plays a critical role in maintaining health and …

With stress becoming an intangible part of our daily lives, physical workout is becoming
more and more difficult to achieve and hence people cannot aim for their body goals. To …

In our study, we investigate Machine Learning (ML) application robustness in ML Integrated
with Network (MLIN) systems. We consider MLIN as an integration of three major …

Data quality (DQ) is an important concept that is used in the design and employment of
information, data management, decision making, and engineering systems with multiple …