Recognition of a human's continuous emotional states in real time plays an important role machine intelligence and human-machine interaction. Existing real-time emotion recognition systems use stimuli with low ecological validity (e.g., picture, sound) to elicit emotions recognise only valence arousal. To overcome these limitations, this paper, we construct standardised database 16 film clips that were selected from over one thousand excerpts. Based on categories are induced by clips,...

A traditional model of emotion cannot explain the differences in brain activities between two discrete emotions that are similar valence-arousal coordinate space. The current study elicited positive (amusement and tenderness) negative (anger fear) both valence arousal dimensions to examine these emotional states. Frontal electroencephalographic (EEG) asymmetry midline power three bands (theta, alpha beta) were measured when participants watched affective film excerpts. Significant detected...

The stable relationship between personality and EEG ensures the feasibility of inference from brain activities. In this paper, we recognize an individual's traits by analyzing waves when he or she watches emotional materials. Thirty-seven participants took part in study watched 7 standardized film clips that characterize real-life experiences target seven discrete emotions. Features extracted signals subjective ratings enter SVM classifier as inputs to predict five dimensions traits. Our...

It is important to make mobile apps accessible, so as not exclude users with common disabilities such blindness, low vision, or color blindness. Even when developers are aware of these accessibility needs, the lack tool support makes development and assessment accessible challenging. Some properties can be checked statically, but user interface widgets often created dynamically amenable static checking. checking frameworks analyze at runtime, have rely on existing thorough test suites. In...

Evolutionary algorithms have been shown to be effective at generating unit test suites optimised for code coverage. While many specific aspects of these evaluated in detail (e.g., length and different kinds techniques aimed improving performance, like seeding), the influence choice evolutionary algorithm has date seen less attention literature. Since it is theoretically impossible design an that best on all possible problems, a common approach software engineering problems first try most...

Driving style is an important factor in driving psychology, which useful for effectively evaluating behaviors. Exploring a Chinese sample could help understand the overall situation of drivers. This study aims to develop measurement fit and validate validity reliability this scale. In study, 296 drivers from China completed version multidimensional inventory (MDSI), Big Five Inventory (BFI), Driver Behavior Questionnaire (DBQ) as well several questions about socio-demographic information....

Driving behaviors play an important role in accident involvement. Concretely speaking, aberrant driving would cause more accidents, and oppositely positive promote to build safety traffic environment. The main goals of this study were explore the behavior its relationship with personality a Chinese sample. A total 421 licensed drivers (286 male 135 female) from Beijing, China completed Positive Driver Behavior Scale (PDBS), Questionnaire (DBQ), Dula Dangerous Index (DDDI) Big Five Inventory...

Abstract Studies have focused on the negative effects of anger driving performance, but insufficient research has addressed intervention methods to reduce these emotional effects. This investigated how music mitigates deterioration performance associated with angry emotions in a simulated car‐following task. Forty‐three licensed drivers participated this study, and they were randomly separated into two groups: an group control group. First, all participants completed task involving neutral...

The recent advancements in visual reasoning capabilities of large multimodal models (LMMs) and the semantic enrichment 3D feature fields have expanded horizons robotic capabilities. These developments hold significant potential for bridging gap between high-level from LMMs low-level control policies utilizing fields. In this work, we introduce LMM-3DP, a framework that can integrate LMM planners skill Policies. Our approach consists three key perspectives: planning, control, effective...

To explore the effect of anger behind wheel on driving behavior and accident involvement has been subject many studies. However, few studies have explored interaction between experience dangerous behavior. This study is a moderated mediation analysis trait anger, A sample 303 drivers was tested using Trait Anger Scale (TAS), Driving (DAS), Dula Dangerous Index (DDDI). The results showed that were positively correlated with partially mediated relationship anger. It also These suggest more may...