AIMC Topic: Emotions

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A novel hybrid model for emotion detection in text through sequential and transformer-based approaches: LSTM enhanced RoBERTa (LER).

Scientific reports
Text emotion detection is an essential task in Natural Language Processing (NLP), with applications in customer support automation, diagnosing mental health, and social media analysis. Yet, precise emotion detection is a difficult problem as human em...

ACFSENet: an adaptive cross-frequency global sparse encoding network for end-to-end EEG emotion recognition.

Biomedical physics & engineering express
End-to-end EEG-based emotion recognition is attracting increasing attention due to its potential in human-computer interaction, mental health, and affective brain-computer interfaces (aBCIs). However, most existing methods overlook cross-frequency in...

A heart rate variability-driven framework for depression screening leveraging emotion-elicited autonomic divergence.

Journal of physiological anthropology
OBJECTIVE: Depression manifests significant emotional dysregulation, characterized by heightened sadness susceptibility and attenuated happiness responsiveness in individuals with depression (IWD). This study employs structured emotion induction prot...

Reliability, validity, and correlates of an AI voice emotion recognition app among nurses.

PloS one
BACKGROUND: Digital tools are increasingly widespread in healthcare, particularly in the fields of emotion recognition and mental health assessment.

Brand public opinion data analysis method based on deep learning.

PloS one
With the rapid development of Internet information technology and digital technology, various network platforms and media are showing a vigorous growth momentum. The powerful power of online public opinion has an immeasurable impact on brand awarenes...

Comparing psychedelic and meditation experience reports with natural language processing.

Scientific reports
Psychedelics and meditation are known for their potential to induce personally meaningful and even transformative experiences. However, it is unclear how similar these experiences are, or how they differ from each other. This explorative study used n...

Psychological perspectives on robotic assisted pivotal response treatment in autism.

Scientific reports
The impact of Pivotal Response Treatment (PRT) assisted by the social robot Pepper on the emotional regulation and treatment adherence of children with autism spectrum disorder (ASD) and their caregivers is explored. Given the integration of technolo...

Dynamic brain mechanisms supporting salient memories under cortisol.

Science advances
Cortisol is known to promote memory for emotionally arousing experiences, yet the neural networks involved in enhancing these memories are unknown. Here, we combine pharmacological fMRI with an analysis approach to determine the dynamic brain network...

Can artificial intelligence and face recognition using deep learning detect emotions in children with autism?

PloS one
BACKGROUND/OBJECTIVES: This study aimed to evaluate the performance of deep learning models for recognizing facial expressions of children with autism through face recognition technologies.

Physiological Response in Children with Autism Spectrum Disorder (ASD) During Social Robot Interaction.

International journal of neural systems
In a world where social interaction presents challenges for children with Autism Spectrum Disorder (ASD), robots are stepping in as allies in emotional learning. This study examined how affective interactions with a humanoid robot elicited physiologi...