Southwest University

About: Southwest University is a education organization based out in Chongqing, China. It is known for research contribution in the topics: Gene & Population. The organization has 29772 authors who have published 27755 publications receiving 409441 citations. The organization is also known as: Southwest University in Chongqing & SWU.

Emotion Recognition Based on Multi-Variant Correlation of Physiological Signals

Abstract: Emotion recognition based on affective physiological changes is a pattern recognition problem, and selecting specific physiological signals is necessary and helpful to recognize the emotions. Fingertip blood oxygen saturation (OXY), galvanic skin response (GSR) and heart rate (HR) are acquired while amusement, anger, grief and fear of 101 subjects are individually elicited by films. The affective physiological changes in multi-subject GSR, the first derivative of GSR (FD_GSR) and HR are detected by the multi-variant correlation method. The correlation analysis reveals that multi-subject HR, GSR and FD_GSR fluctuations respectively have common intra-class affective patterns. In addition to the conventional features of HR and GSR, the affective HR, GSR and FD_GSR fluctuations are quantified by the local scaling dimension and applied as the affective features. The multi-subject affective database containing 477 cases is classified by a Random Forests classifier. An overall correct rate of 74 percent for quinary classification of amusement, anger, grief, fear and the baseline state are obtained.

Brain anatomy alterations associated with Social Networking Site (SNS) addiction

Abstract: This study relies on knowledge regarding the neuroplasticity of dual-system components that govern addiction and excessive behavior and suggests that alterations in the grey matter volumes, i.e., brain morphology, of specific regions of interest are associated with technology-related addictions. Using voxel based morphometry (VBM) applied to structural Magnetic Resonance Imaging (MRI) scans of twenty social network site (SNS) users with varying degrees of SNS addiction, we show that SNS addiction is associated with a presumably more efficient impulsive brain system, manifested through reduced grey matter volumes in the amygdala bilaterally (but not with structural differences in the Nucleus Accumbens). In this regard, SNS addiction is similar in terms of brain anatomy alterations to other (substance, gambling etc.) addictions. We also show that in contrast to other addictions in which the anterior-/ mid- cingulate cortex is impaired and fails to support the needed inhibition, which manifests through reduced grey matter volumes, this region is presumed to be healthy in our sample and its grey matter volume is positively correlated with one's level of SNS addiction. These findings portray an anatomical morphology model of SNS addiction and point to brain morphology similarities and differences between technology addictions and substance and gambling addictions.