publication . Article . 2017

A performance comparison of two emotion-recognition implementations using OpenCV and Cognitive Services API

Beltrán Prieto Luis Antonio; Komínkova-Oplatková Zuzana;
Open Access
  • Published: 01 Jan 2017 Journal: MATEC Web of Conferences, volume 125, page 2,067 (eissn: 2261-236X, Copyright policy)
  • Publisher: EDP Sciences
Abstract
Emotions represent feelings about people in several situations. Various machine learning algorithms have been developed for emotion detection in a multimedia element, such as an image or a video. These techniques can be measured by comparing their accuracy with a given dataset in order to determine which algorithm can be selected among others. This paper deals with the comparison of two implementations of emotion recognition in faces, each implemented with specific technology. OpenCV is an open-source library of functions and packages mostly used for computer-vision analysis and applications. Cognitive services is a set of APIs containing artificial intelligence...
Subjects
free text keywords: Emotion recognition, Cognition, Feeling, media_common.quotation_subject, media_common, Implementation, Computer science, Emotion detection, Artificial intelligence, business.industry, business, Cognitive services, Android (operating system), Machine learning, computer.software_genre, computer, Engineering (General). Civil engineering (General), TA1-2040
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publication . Article . 2017

A performance comparison of two emotion-recognition implementations using OpenCV and Cognitive Services API

Beltrán Prieto Luis Antonio; Komínkova-Oplatková Zuzana;