Abstract: Social Internet of Things (IoT) creates an integrated ecosystem for mental health analysis through video emotion analysis. These systems can be transformed into real-time monitoring tools ...

If you are fortunate enough to have a ticket to an event at Madison Square Garden in New York—say, an NBA Finals game—one aspect of your visit will be having your face scanned by a facial recognition ...

A teary eye, a furrowed eyebrow, creases at the edge of the eye tell us what a person is feeling without them having to express it with words. New data indicate that eyes might be the window to the ...

If you are fortunate enough to have a ticket to an event at Madison Square Garden in New York – say, an NBA Finals game – one aspect of your visit will be having your face scanned by a facial ...

Recognizing emotions objectively and accurately remains challenging because of the limited ecological validity, informational incompleteness, and constrained model performance of conventional ...

Your car may soon know when you’re tipsy, stressed, or just mouthing words into the wind. From Ford’s lip-reading patent to radar systems that sense your mood and (of course) biometric driver ...

Steven Spielberg's visionary film "Minority Report" depicts a future in which facial recognition technology is embedded in everything from retail storefronts to surveillance cameras. While not every ...

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 ...

Biometric authentication—the ability to unlock your devices by using just your face or fingerprint—is one of the few smartphone features that, even today, leave me feeling like we’re living in the ...

Abstract: Given the wide range of facial expressions, it can be challenging to infer emotions from photos of people. Prior studies on the classification of emotions from facial photos using deep ...

Emotion estimation is a field that has been studied for a long time, and several approaches using machine learning models exist. This article presents BlendFER-Lite, an LSTM model that uses ...