Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains,
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …

With the rapid growth of mobile devices, wearable sensor-based human activity recognition
(HAR) has become one of the hottest topics in the Internet of Things. However, it is …

Upper limb myoelectric prosthetic control is an essential topic in the field of rehabilitation.
The technique controls prostheses using surface electromyogram (sEMG) and intramuscular …

Together with the fast advancement of the Internet of Things (IoT), smart healthcare
applications and systems are equipped with increasingly more wearable sensors and …

The massive number of Internet of Things (IoT) devices connected to the Internet is
continuously increasing. The operations of these devices rely on consuming huge amounts …

Human posture detection allows the capture of the kinematic parameters of the human body,
which is important for many applications, such as assisted living, healthcare, physical …

Deep learning (DL) models are very useful for human activity recognition (HAR); these
methods present better accuracy for HAR when compared to traditional, among other …

Time series remains one of the most challenging modalities in machine learning research.
Out-of-distribution (OOD) detection and generalization on time series often face difficulties …

abstract Human Activity Recognition is focused on the use of sensing technology to classify
human activities and to infer human behavior. While traditional machine learning …

Inertial Measurement Units (IMUs) are frequently implemented in wearable devices. Thanks
to advances in signal processing and machine learning, applications of IMUs are not limited …