Abstract: Neurological disorders are among the leading causes of both physical and cognitive disabilities worldwide, affecting approximately 15% of the global population. This study explores the use ...

Abstract: This article presents a solution for fatigue recognition through a new deep learning model that has a characteristic input of the power spectrum of an electroencephalogram (EEG) signal.

Emotion recognition from EEG signals has been one of the most promising areas due to its potential in enhancing human–computer interaction, especially in adaptive systems. This paper proposes a novel ...

In daily life and communication, people usually recognize the emotions of people around them through facial expressions, voice dialogues, body language and other external behavioral signals, so as to ...

🛠️ Key Features & Methodology EEG Signal Ingestion Pipeline: Advanced artifact removal (EOG eye-blink filtering, muscle noise isolation) optimized using Independent Component Analysis (ICA).

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

The intersection of machine learning, biosensing technologies, and neurological behavior analysis presents fertile ground for groundbreaking research and innovation. This research topic aims to bridge ...

It’s 10 a.m. in London’s posh Mayfair neighborhood and I’m laid out on a bench, breathing through a plastic tube, my nose clamped shut. I haven’t ended up in the emergency room after a heavy night in ...