Measuring human emotions with modular neural networks and computer vision based applications - {Dubstowel}

Abstract:
This paper describes a neural network architecture for emotion recognition for human-computer interfaces and applied systems. In the current research, we propose a combination of the most recent biometric techniques with the neural networks (NN) approach for real-time emotion and behavioral analysis. The system will be tested in real-time applications of customers' behavior for distributed on-land systems, such as kiosks and ATMs. [ABSTRACT FROM AUTHOR]

How to Cite:
APA:
Albu, V., & Cojocaru, S. (2015). Measuring human emotions with modular neural networks and computer vision based applications. Computer Science Journal Of Moldova, 23(1), 40-61.
AMA:
Albu V, Cojocaru S. Measuring human emotions with modular neural networks and computer vision based applications. Computer Science Journal Of Moldova [serial online]. April 2015;23(1):40-61. Available from: Academic Search Complete, Ipswich, MA. Accessed November 15, 2015.
Harvard:
Albu, V, & Cojocaru, S 2015, 'Measuring human emotions with modular neural networks and computer vision based applications', Computer Science Journal Of Moldova, 23, 1, pp. 40-61, Academic Search Complete, EBSCOhost, viewed 15 November 2015.