An Embedded 4-Channel Real-Time Multimedia Coding System

2006 ◽  
Author(s):  
Wei Li ◽  
Qing-Lei Meng ◽  
Chao-Gang Wu ◽  
Wei-Jin Huang
Keyword(s):  
Real Time ◽  
Coding System ◽  
Multimedia Coding

scholarly journals Real-time multimedia coding and transmission

2013 ◽  
Vol 2013 (1) ◽  
Author(s):  
José A García-Naya ◽  
Otoniel López-Granado ◽  
Adriana Dapena ◽  
Michael W Marcellin ◽  
Marco Cruz-Chavez
Keyword(s):  
Real Time ◽  
Multimedia Coding

Multimodal validation of facial expression detection software for real-time monitoring of affect in patients with suicidal intent

2016 ◽  
Vol 33 (S1) ◽  
pp. S596-S596 ◽  
Author(s):  
F. Amico ◽  
G. Healy ◽  
M. Arvaneh ◽  
D. Kearney ◽  
E. Mohedano ◽  
...  
Keyword(s):  
Facial Expression ◽  
Real Time ◽  
Event Related Potentials ◽  
Emotional States ◽  
Coding System ◽  
Good Reliability ◽  
Facial Expression Analysis ◽  
Skin Response ◽  
Related Potentials ◽  
Competing Interest

Facial expression is an independent and objective marker of affect. Basic emotions (fear, sadness, joy, anger, disgust and surprise) have been shown to be universal across human cultures. Techniques such as the Facial Action Coding System can capture emotion with good reliability. Such techniques visually process the changes in different assemblies of facial muscles that produce the facial expression of affect.Recent groundbreaking advances in computing and facial expression analysis software now allow real-time and objective measurement of emotional states. In particular, a recently developed software package and equipment, the Imotion Attention Tool™, allows capturing information on discreet emotional states based on facial expressions while a subject is participating in a behavioural task.Extending preliminary work by further experimentation and analysis, the present findings suggests a link between facial affect data to already established peripheral arousal measures such as event related potentials (ERP), heart rate variability (HRV) and galvanic skin response (GSR) using disruptively innovative, noninvasive and clinically applicable technology in patients reporting suicidal ideation and intent compared to controls. Our results hold promise for the establishment of a computerized diagnostic battery that can be utilized by clinicians to improve the evaluation of suicide risk.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals Push Notification Penghubung Orang Tua dan Guru Berbasis Android Menggunakan Firebase Cloud Messaging

2020 ◽  
Vol 2 (2) ◽  
pp. 291-299
Author(s):  
Fransiskus Panca Juniawan ◽  
Dwi Yuny Sylfania ◽  
David Wijaya
Keyword(s):  
Real Time ◽  
Mobile Applications ◽  
Test System ◽  
Coding System ◽  
System Implementation ◽  
Important Thing ◽  
The Real

Information in the form of an agenda made by the teacher is an important thing that parents should know, but the fact is that parents are mostly late in getting all of this information. With the real time features that have been developed in mobile applications today, this problem can be overcome. This study aims to implement the push notification function in applications used by parents and teachers in school. This application is useful as a connector that provides an agenda between users, so all parents can find out the information agenda in real time. We are using prototyping method which consists of the stages of gathering needs, building prototyping, evaluating prototyping, coding, system test, system evaluating, and system implementation. The system built runs well that proved by the blackbox testing carried out. The results of the test show that all the features of the system run intact and well.

scholarly journals FACS-Based Graph Features for Real-Time Micro-Expression Recognition

2020 ◽  
Vol 6 (12) ◽  
pp. 130
Author(s):  
Adamu Muhammad Buhari ◽  
Chee-Pun Ooi ◽  
Vishnu Monn Baskaran ◽  
Raphaël C. W. Phan ◽  
KokSheik Wong ◽  
...  
Keyword(s):  
Real Time ◽  
Recognition Accuracy ◽  
Expression Recognition ◽  
Coding System ◽  
Facial Landmark ◽  
Single Input ◽  
Measured Distance ◽  
The Cost ◽  
Micro Expression ◽  
Real Time Application

Several studies on micro-expression recognition have contributed mainly to accuracy improvement. However, the computational complexity receives lesser attention comparatively and therefore increases the cost of micro-expression recognition for real-time application. In addition, majority of the existing approaches required at least two frames (i.e., onset and apex frames) to compute features of every sample. This paper puts forward new facial graph features based on 68-point landmarks using Facial Action Coding System (FACS). The proposed feature extraction technique (FACS-based graph features) utilizes facial landmark points to compute graph for different Action Units (AUs), where the measured distance and gradient of every segment within an AU graph is presented as feature. Moreover, the proposed technique processes ME recognition based on single input frame sample. Results indicate that the proposed FACS-baed graph features achieve up to 87.33% of recognition accuracy with F1-score of 0.87 using leave one subject out cross-validation on SAMM datasets. Besides, the proposed technique computes features at the speed of 2 ms per sample on Xeon Processor E5-2650 machine.

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