Comparison of Subjective Facial Emotion Recognition and "Facial Emotion Recognition Based on Multi-Task Cascaded Convolutional Network Face Detection" between Patients with Schizophrenia and Healthy Participants. [PDF]
Healthcare (Basel), 2022 Patients with schizophrenia may exhibit a flat affect and poor facial expressions. This study aimed to compare subjective facial emotion recognition (FER) and FER based on multi-task cascaded convolutional network (MTCNN) face detection in 31 patients ...
Akiyama T +11 more
europepmc +3 more sources
Jurnal Teknologi Informasi dan Pendidikan, 2023 This study intends to create a Face Recognition system for a Socially Assistive Robot (SAR) created especially for autistic youngsters. Autism is a developmental disease that has varied degrees of impact on social interaction, speech, and behavior.
Noval Al Thoriq
doaj +1 more source
Face Detectors Evaluation to Select the Fastest among DLIB, HAAR Cascade, and MTCNN
, 2021 Face detection is an important problem in computer vision research and applications are getting trending due to the advancement in the file of machine learning and computer vision. This research proposed a face detection method based on an enhanced Multi-
Atiq Ahmed +6 more
core +1 more source
Acceleration of multi‐task cascaded convolutional networks
IET Image Processing, 2020 Multi‐task cascaded convolutional neural network (MTCNN) is a human face detection architecture which uses a cascaded structure with three stages (P‐Net, R‐Net and O‐Net).
Long‐Hua Ma +3 more
doaj +1 more source
Age Range Estimation Using MTCNN and VGG-Face Model [PDF]
2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020 6 pages, 10 ...
Dipesh Gyawali +3 more
openaire +2 more sources
A New Method of Disabling Face Detection by Drawing Lines between Eyes and Mouth
Computers, 2022 Face swapping technology is approaching maturity, and it is difficult to distinguish between real images and fake images. In order to prevent malicious face swapping and ensure the privacy and security of personal photos, we propose a new way to disable ...
Chongyang Zhang, Hiroyuki Kameda
doaj +1 more source
USER PROFILE MANAGEMENT USING DEEP LEARNING FOR ASSISTIVE HEADGEAR [PDF]
Proceedings on Engineering SciencesIndividuals with visual impairments face significant challenges in interacting with their environment, particularly in identifying and recognizing people.
Siddharth Dhondiyal +3 more
doaj +1 more source
Proposed Face Detection Classification Model Based on Amazon Web Services Cloud (AWS)
Journal of Engineering, 2023 One of the most important features of the Amazon Web Services (AWS) cloud is that the program can be run and accessed from any location. You can access and monitor the result of the program from any location, saving many images and allowing for faster ...
Mohanad Azeez Joodi +2 more
doaj +1 more source
IMPLEMENTASI ALGORITMA MTCNN DAN ARSITEKTUR VGG 16 UNTUK DETEKSI EMOSI MANUSIA BERDASARKAN EKSPRESI WAJAH [PDF]
, 2022 Teknologi semakin maju membawa kebermanfaatan dan kabaharuan khususnya di Deep Learning, termasuk Computer Vision. Penerapan ini umumnya pada pembelajaran maupun karyawan di perusahaan, sulitnya mendeteksi ekspresi wajah dalam jumlah besar, lebih dari ...
Dimas Setiawan, -
core
Behavioral drowsiness detection system execution based on digital camera and MTCNN deep learning [PDF]
, 2023 Drowsy driving is a major cause of road accidents worldwide, necessitating the development of effective drowsiness detection systems. Each year, there are more accidents and fatalities than ever before for a variety of causes. For instance, there were 22,
Mohammed G. S. Al-Safi +11 more
core +2 more sources