Embodied AI aims to create agents that complete complex tasks by interacting with the
environment. A key problem in this field is embodied navigation which understands multi …

Physical exercise affects many facets of life, including mental health, social interaction,
physical fitness, and illness prevention, among many others. Therefore, several AI-driven …

The use of audio and video modalities for Human Activity Recognition (HAR) is common,
given the richness of the data and the availability of pre-trained ML models using a large …

Musculoskeletal disorders are an unavoidable occupational health problem. In particular,
workers who perform repetitive tasks onsite in the manufacturing industry suffer from …

Parallel-laser photogrammetry is growing in popularity as a way to collect non-invasive body
size data from wild mammals. Despite its many appeals, this method requires researchers to …

Human factors and ergonomics are the essential constituents of teleoperation interfaces,
which can significantly affect the human operator's performance. Thus, a quantitative …

In recent years, diffusion models have revolutionized visual generation, outperforming
traditional frameworks like Generative Adversarial Networks (GANs). However, generating …

Extracting the flight trajectory of the shuttlecock in a single turn in badminton games is
important for automated sports analytics. This study proposes a novel method to extract …

Video Anomaly Detection (VAD) aims to automatically analyze spatiotemporal patterns in
surveillance videos collected from open spaces to detect anomalous events that may cause …

Over the last few decades, human facial recognition has gained significant popularity in
areas ranging from surveillance, tracking, and access control to more recent developments …