Frontiers

Automated identification of early to mid-stage Parkinson’s disease using deep convolutional neural networks on static facial images

Objective: This study investigates deep convolutional neural networks (CNNs) for automated detection of early to mid-stage Parkinson's disease (PD) from static facial images, aiming to explore ...
WPXI

Smart home facial recognition: How it works and what to know

Imagine this: You’re juggling groceries, your toddler’s backpack, and your phone is somewhere in the abyss of your bag. As you walk up to your front door, it scans your face and clicks open. No keys, ...
The Verge

Microsoft’s Windows Hello facial recognition no longer works in the dark

Windows Hello face unlock in dark rooms has been disabled to fix a vulnerability. Windows Hello face unlock in dark rooms has been disabled to fix a vulnerability. is a senior editor and author of ...
Scientific Research Publishing

Minaee, S., Minaei, M. and Abdolrashidi, A. (2021) Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network. Sensors, 21, Article No. 3046.

ABSTRACT: Mental disorders, including depression, bipolar disorder, and mood disorders, affect millions of individuals worldwide, significantly impacting their quality of life. Early and accurate ...
IEEE

A Light-Weight Convolutional Neural Network for Facial Expression Recognition using Mini-Xception Neural Networks

Abstract: This paper builds a convolutional neural network model based on Xception; we delete the fully connected layer in the traditional convolutional neural network model and use four depthwise ...
IEEE

Convolutional Neural Networks for Facial Expression Recognition with Few Training Samples

Abstract: Facial expression recognition (FER) plays an important role in human-machine interaction. An assistant robot having a close interaction with human being should be able to recognize human ...