Wireless Affective Brain Computer Interface based Emotion Assessment Model
نویسندگان
چکیده
منابع مشابه
Emotion Recognition Based on Brain-Computer Interface Systems
Emotions are intrinsically related to the way that individuals interact with each other as well as machines [1]. A human being can understand the emotional state of another human being and behave in the best manner to improve the communication in a certain situation. This is because emotions can be recognized through words, voice intonation, facial expressions and body language. In contrast, ma...
متن کاملAffective Stimuli for an Auditory P300 Brain-Computer Interface
Gaze-independent brain computer interfaces (BCIs) are a potential communication tool for persons with paralysis. This study applies affective auditory stimuli to investigate their effects using a P300 BCI. Fifteen able-bodied participants operated the P300 BCI, with positive and negative affective sounds (PA: a meowing cat sound, NA: a screaming cat sound). Permuted stimuli of the positive and ...
متن کاملAffective Pacman: A Frustrating Game for Brain-Computer Interface Experiments
We present the design and development of Affective Pacman, a game that induces frustration to study the effect of user state changes on the EEG signal. Affective Pacman is designed to induce frustration for short periods, and allows the synchronous recording of a wide range of sensors, such as physiological sensors and EEG in addition to the game state. A self-assessment is integrated in the ga...
متن کاملEEG Based Brain Computer Interface
Brain-Computer Interface (BCI) has added a new value to efforts being made under human machine interfaces. It has not only introduced new dimensions in machine control but the researchers round the globe are still exploring the possible uses of such applications. BCIs have given a hope where alternative communication channels can be created for the persons having severe motor disabilities. This...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2019
ISSN: 0975-8887
DOI: 10.5120/ijca2019918649