Due to the wide application of human activity recognition (HAR) in sports and health, a large
number of HAR models based on deep learning have been proposed. However, many …

Deep learning models have gained widespread acceptance in recent decades for their
ability to recognize human activities. In terms of automated feature extraction capability and …

Smartphone sensor-based Human Activity Recognition (HAR) is a significant facilitator for
many real-world applications such as smart homes, personal healthcare, and illness …

The article presents a research of angular orientation based on a microelectromechanical
system (MEMS) accelerometer by using machine learning (ML) and deep learning (DL) …

Background: Human physical activity recognition is challenging in various research eras,
such as healthcare, surveillance, senior monitoring, athletics, and rehabilitation. The use of …

Recently, human action recognition has gained widespread use in fields such as human–
robot interaction, healthcare, and sports. With the popularity of wearable devices, we can …

Wearable devices have been widely utilized in areas such as rehabilitation medicine. These
devices rely on algorithmic models to detect and provide feedback on the intensity of …

Background In digital medicine, human activity recognition (HAR) can be used to track and
assess a patient's progress throughout rehabilitation, enhancing the quality of life for the …

Performing regular physical activity positively affects individuals' quality of life in both the
short-and long-term and also contributes to the prevention of chronic diseases. However …

Recently, human action recognition has been widely used in the fields of health monitoring,
human-robot interaction, medical treatment, and sports. Due to the availability of various …