Physical activity analysis assessment has been a concern throughout human history. The
intersection of technological growth with sports has given rise to a burgeoning field known …

Sensor-based human activity recognition with wearable devices has captured the attention
of researchers in the last decade. The possibility of collecting large sets of data from various …

Our aim was to assess sleep quality in different subgroups of preclinical medical students,
and then to identify specific lifestyle factors, academic and social factors as well as Corona …

This work proposes a radar-based physical activities monitoring solution capable of
detecting, classifying, and counting the number of repetitions of multiple human subjects …

The aim of this study was to develop a physical activity advisory system supporting the
correct implementation of sport exercises using inertial sensors and machine learning …

Wireless sensor networks (WSNs) have emerged as a promising technology in healthcare,
enabling continuous patient monitoring and early disease detection. This study introduces …

The accurate and efficient recognition of gym workout activities using wearable sensors
holds significant implications for assessing fitness levels, tailoring personalized training …

Human activity recognition (HAR) is a popular study area in the current era of the Internet of
Things and artificial intelligence. HAR approaches have been successfully applied in many …

With their automatic feature extraction capabilities, deep learning models have become
more widespread in sensor-based human activity recognition, particularly on larger …

Portable devices like accelerometers and physiological trackers capture movement and
biometric data relevant to sports. This study uses data from wearable sensors to investigate …