Abstract: Emotion recognition from EEG (electroencephalogram) signals is crucial in mental health diagnostics and human-computer interaction but is often hindered by high dimensionality, noise, and ...

Abstract: Motor imagery-based brain–computer interfaces (MI-BCIs) hold significant promise for rehabilitation training in individuals with neurological impairments such as stroke and spinal cord ...

For many years, businesses have used Optical Character Recognition (OCR) to convert physical documents into digital formats, ...

A research paper by scientists from Tianjin University proposed a noninvasive method for locating and decoding intracranial ...

As smartphones become increasingly central to daily life, features like automatic reboot aim to offer users greater control and confidence over the safety of their personal data.

Leveraging the power of the spontaneously wandering mind to enhance learning, problem-solving, and creativity.

The future of electroencephalography (EEG) monitoring may soon look like a strand of hair. In place of the traditional metal electrodes, a web of wires and sticky adhesives, a team of researchers from ...

As we all know, wearing a helmet is mandatory in most countries, including India while driving a vehicle, not just because of ...