Precision viticulture is an area that is very dependent on methods that allow for a
sustainable assessment of grape maturity and, in this work, we apply two state-of-the-art …

Knee joint moments are commonly calculated to provide an indirect measure of knee joint
loads. A shortcoming of inverse dynamics approaches is that the process of collecting and …

Human activity recognition (HAR) performs a vital function in various fields, including
healthcare, rehabilitation, elder care, and monitoring. Researchers are using mobile sensor …

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 …

With the development of deep learning, numerous models have been proposed for human
activity recognition to achieve state‐of‐the‐art recognition on wearable sensor data. Despite …

Computational simulations are becoming increasingly relevant in biomedical research,
providing strategies to reproduce experimental results, improve the resolution of in-vitro …

Everyday actions like scratching one's nose or resting the chin on one's hand may facilitate
the spread of germs and diseases. Detecting these gestures holds the potential for …

Wearable sensors are increasingly popular for monitoring the daily activities of older
individuals, sparking significant interest in human activity recognition (HAR). Accurate and …

This study introduces a novel approach to identifying human activities using wearable
sensors, particularly smart-phones and smartwatches. By leveraging deep learning neural …

Early knee problem management relies on precise identification and classification of
abnormalities. Surface electromyography (sEMG) and goniometer signals offer non-invasive …