Abstract: Vision-based human activity recognition (HAR) techniques have garnered significant attention and extensive research, with successful applications in many scenarios. However, their ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Abstract: Human activity recognition (HAR) based on wearable devices enables real-time monitoring of human activities via sensor data from smartphones and smartwatches, which is crucial for ...

This paper proposes a multi-modal deep learning framework for Arabic Sign Language (ArSL) recognition, addressing the challenges of both static and dynamic gesture recognition. The framework ...

In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Zahra Ghorrati is developing frameworks for human activity ...

Accurate gait-phase identification in children with Cerebral Palsy (CP) constitutes a pivotal prerequisite for evidence-based rehabilitation. Addressing the precise detection of gait disturbances ...

Trevis Williams is eight inches taller than a man accused of flashing a woman in Union Square in February. The police arrested him anyway. Credit...Natalie Keyssar for The New York Times Supported by ...