Human-computer affective interaction system research and application based on physiological signals: A survey

2009 ◽  
Author(s):  
An Ping ◽  
Zhiliang Wang
Keyword(s):  
Physiological Signals ◽  
System Research ◽  
Interaction System ◽  
Affective Interaction

scholarly journals K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Cheul Young Park ◽  
Narae Cha ◽  
Soowon Kang ◽  
Auk Kim ◽  
Ahsan Habib Khandoker ◽  
...  
Keyword(s):  
Social Interactions ◽  
Low Cost ◽  
Physiological Signals ◽  
Mobile Sensors ◽  
Interaction Data ◽  
Emotional Displays ◽  
Constrained Environments ◽  
Potential Applications ◽  
In The Wild ◽  
Affective Interaction

Abstract Recognizing emotions during social interactions has many potential applications with the popularization of low-cost mobile sensors, but a challenge remains with the lack of naturalistic affective interaction data. Most existing emotion datasets do not support studying idiosyncratic emotions arising in the wild as they were collected in constrained environments. Therefore, studying emotions in the context of social interactions requires a novel dataset, and K-EmoCon is such a multimodal dataset with comprehensive annotations of continuous emotions during naturalistic conversations. The dataset contains multimodal measurements, including audiovisual recordings, EEG, and peripheral physiological signals, acquired with off-the-shelf devices from 16 sessions of approximately 10-minute long paired debates on a social issue. Distinct from previous datasets, it includes emotion annotations from all three available perspectives: self, debate partner, and external observers. Raters annotated emotional displays at intervals of every 5 seconds while viewing the debate footage, in terms of arousal-valence and 18 additional categorical emotions. The resulting K-EmoCon is the first publicly available emotion dataset accommodating the multiperspective assessment of emotions during social interactions.

YOUTH CRIMINAL SUBCULTURE AS A FACTOR IN THE FORMATION OF THE PERSONALITY OF A MINOR CRIMINAL

2020 ◽  
Vol 10 (3) ◽  
pp. 177-180
Author(s):  
VERA SHUNYAEVA ◽  
Keyword(s):  
Research Method ◽  
Negative Impact ◽  
System Research ◽  
Scientific Methods ◽  
General Scientific ◽  
Definition Of ◽  
A Minor ◽  
Method Analysis

The article is devoted to the research of the youth criminal subculture and its impact on the personality of under-aged. In the course of analysis of this negative impact, a definition of the criminal subculture of under-aged was proposed. The main principles of such a criminal subculture as AUE (the acronym, transcribed from Russian: АУЕ or А.У.Е., comes from «Арестантский уклад един» / “Prisoners Unity (Solidarity)” are defined. The reasons contributing to the development of this negative phenomenon and the typical fea- tures of a minor sharing the ideology of the AUE were identified. The methods for counteracting the AUE were proposed. The method- ological basis of the research is formed by general scientific methods: dialectical, system research method, analysis, synthesis, induction, deduction, analogy, etc., as well as such private scientific methods as comparative legal, formal legal, structural and functional, statistical ones. The authors relied on the results of research by Russian and foreign legal scholars, sociologists, psychologists.

EDUCATIONAL HARDWARE AND SOFTWARE LAYOUT FOR TWO-MASS ELECTROMECHANICAL SYSTEM RESEARCH

2015 ◽  
Vol 20 (96) ◽  
pp. 15-21
Author(s):  
Victor V. Busher ◽  
◽  
Elena V. Naydenko ◽  
Keyword(s):  
Electromechanical System ◽  
System Research
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