Human-robot teams collaborating to achieve tasks under various conditions, especially in
unstructured, dynamic environments will require robots to adapt autonomously to a human …

Article information: Falls are uncommon and pose a substantial health danger to adults and
the elderly. These situations are a leading cause of severe injury. More harm could be …

Nowadays, there is a growing interest among researchers in health monitoring using body
sensor data due to its usage in diverse applications. Human Activity Recognition (HAR) …

Bicycles are an ecofriendly mode of transportation, and cycling offers physical and mental
well-being. However, their increased use has resulted in frequent bicycle–human accidents …

The research on complex human body motion including sports and workout activity
recognition is a major challenge and long-lasting problem for the computer vision …

Objective. Human activity recognition (HAR) has become increasingly important in
healthcare, sports, and fitness domains due to its wide range of applications. However …

In this study, we propose a novel deep-learning architecture with sparse learning for human
activity recognition. The proposed model contains 1D CNNs and LSTM layers with a self …

Various sensing modalities, including external and internal sensors, have been employed in
research on human activity recognition (HAR). Among these, internal sensors, particularly …

With the fast expansion of digital technologies and sporting events, interpreting sports data
has become an immensely complicated endeavor. Internet-sourced sports big data exhibit a …

Wearable smart devices, such as smartphones and smartwatches, offer great potential as
platforms for automated human action identification. However, accurately monitoring …