EmoActivity - An EEG-Based Gamified Emotion HCI for Augmented Artistic Expression: The i-Treasures Paradigm
نویسندگان
چکیده
There are important cultural differences in emotions that can be predicted and connected to each other in the light of cultural and artistic expressions. The main differences reflected at the affective space are expressed through initial response tendencies of appraisal and action readiness. Capturing and handling the emotions during artistic activities could be used as a dominant source of information to acquire and augment the cultural expression and maximize the emotional impact to the audience. This paper presents a novel EEGbased game-like application, to learn and handle affective states and transitions towards augmented artistic expression. According to the game scenario, the user has to reach and sustain one or more target affective states based on the level of the game, the difficulty setting and his/her current affective state. The game, although at its first version, has been demonstrated to a small group of potential users and has received positive feedback. Its use by a wider audience is anticipated within the realization of the i-Treasure FP7 EU Programme (2013-2017).
منابع مشابه
A hybrid EEG-based emotion recognition approach using Wavelet Convolutional Neural Networks (WCNN) and support vector machine
Nowadays, deep learning and convolutional neural networks (CNNs) have become widespread tools in many biomedical engineering studies. CNN is an end-to-end tool which makes processing procedure integrated, but in some situations, this processing tool requires to be fused with machine learning methods to be more accurate. In this paper, a hybrid approach based on deep features extracted from Wave...
متن کاملبهبود تشخیص خودکار احساسات با استفاده از سیگنالEEG
Emotions play an important role in daily life of human, so the need and importance of automatic emotion recognition have grown with increasing role of Human Computer Interaction (HCI) applications. Since emotion recognition using EEG can show inner emotions, this method is more attention from other ways. In consideration to lack of emotion induction collection for doing such researches at Irani...
متن کاملSpeech Emotion Recognition Using Scalogram Based Deep Structure
Speech Emotion Recognition (SER) is an important part of speech-based Human-Computer Interface (HCI) applications. Previous SER methods rely on the extraction of features and training an appropriate classifier. However, most of those features can be affected by emotionally irrelevant factors such as gender, speaking styles and environment. Here, an SER method has been proposed based on a concat...
متن کاملBrain complexity increases during the manic episode of bipolar mood disorder type I
Fractal dimension of the electroencephalographic (EEG) signal has been argued to reflect the complexity of the underlying brain processes. To this date, conventional studies of EEG in mood disorders have not been able to distinguish between patients and normal individuals. Here we show that, compared to normal subjects, EEG fractal dimension is significantly augmented in the manic episode of bi...
متن کاملBrain complexity increases during the manic episode of bipolar mood disorder type I
Fractal dimension of the electroencephalographic (EEG) signal has been argued to reflect the complexity of the underlying brain processes. To this date, conventional studies of EEG in mood disorders have not been able to distinguish between patients and normal individuals. Here we show that, compared to normal subjects, EEG fractal dimension is significantly augmented in the manic episode of bi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015