Abstract: Multi-modal emotion recognition plays a crucial role in human-computer interaction. Nowadays, many studies have developed fusion algorithms for this purpose. However, two challenges are ...

Abstract: Multi-modal emotion recognition from various human physiological indicators has emerged as a large topic of interest, including the use of EEG, ECG, GSR and Eye Tracking features. This work ...

Multi-modal infrastructure boosts economic growth, increases property values, and supports tourism while improving community mobility. Creative funding strategies like public-private partnerships, tax ...

Objective: Our study aimed to evaluate a long-term, in-home, bi-modal wearable device for seizure monitoring in epilepsy patients, assessing its applicability, clinical utility and identifying ...

BROWNSVILLE, Texas (ValleyCentral) — For a third time, Cameron County residents will have the opportunity to vote for or against the development of a new multi-use arena. The proposition will be ...

Objective: This study aims to develop a multimodal deep learning-based stress detection method (MMFD-SD) using intermittently collected physiological signals from wearable devices, including ...

With offices in New York, Stockholm, and San Francisco, Modal is redefining how developers build and scale AI-based applications, providing a serverless platform that eliminates the need to manage ...

M.Sc. C.S. University of Belgrade, Serbia; MCSA – Microsoft Certified Solutions Associate (C#, ASP.NET MVC); CodeProject MVP (x2 years); C#-Corner MVP (x3 years ...

A record tracking program using local storage; features JavaScript form validation, CSS styling and animation and Bootstrap Modal implementation. Project status: Portfolio Ready ...