Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Abstract: The variations in camera view and hand spatial pose are the main reasons for the low accuracy and poor robustness of gesture recognition systems. In order to achieve accurate and stable ...

Abstract: Robots can often learn skills from human demonstrations. Robot operations via visual perception are commonly influenced by the external environment and are relatively demanding in terms of ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

[2025-06-01] Many thanks to @aherzinger for implementing and refactoring the Generator and RAG models. [2025-05-30] Huge thanks to @baraayusry for implementing the Online Retriever using CrawAI and ...

Google’s new hand gestures for the Pixel Watch are finally here, and they genuinely make using the watch feel more intuitive. You can now control parts of the watch by doing a Double pinch or a quick ...

This is the official implementaion of paper PrivORL: Differentially Private Synthetic Dataset for Offline Reinforcement Learning. This repository contains Pytorch training code and evaluation code.

Whether you’re giving a presentation, pitching an idea or leading a meeting, you probably spend most of your prep time thinking about what you’ll say. But what about the ways you’ll move your hands? I ...

Giovanni Luca Cascio Rizzo does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant ...