Results 61 to 70 of about 71,334 (264)
3477 Impaired emotion recognition accuracy after right-hemisphere stroke
OBJECTIVES/SPECIFIC AIMS: Every year, approximately 800,000 Americans suffer a stroke. Supportive social environments are recognized as an important factor contributing to successful stroke recovery, yet, stroke lesions can affect brain areas important ...
Katherine OConnell +2 more
doaj +1 more source
Emotion Recognition by Physiological Signals
Recently, User’s effective state automatic recognition has become a popular research area. It has many applications ranging from health, education, and personalization. In this paper, emotional state arousal and valence induced by watching video clips are identified by physiological and electroencephalogram (EEG) signals by .
Naeem Ramzan +4 more
openaire +2 more sources
Prominent Movement Disorders in RNU2‐2‐Related Spliceosomopathy
ABSTRACT Pediatric movement disorders often overlap with neurodevelopmental diseases, suggesting shared molecular mechanisms. Variants in small nuclear RNA (snRNA) genes encoding spliceosome components have recently been associated with neurodevelopmental disorders, termed “RNUopathies.” We analyzed genome sequencing data from 14 patients with ...
Magdalena Krygier +6 more
wiley +1 more source
Music Emotion Recognition Based on Deep Learning: A Review
In recent years, with the development of the digital era, music emotion recognition technology has been widely used in the fields of music recommendation system, music classification, psychotherapy, music visualization, background music generation, smart
Xingguo Jiang +3 more
doaj +1 more source
Purpose: to investigate the use of softwares for emotion recognition in children and teenagers with Autism Spectrum Disorders (ASD). Methods: an integrative review of the literature with scientific papers published from 2012 to 2017 indexed in Periódico
Antonio Marcos Oliveira de Lima +3 more
doaj +1 more source
Enhancing Mouth-Based Emotion Recognition Using Transfer Learning
This work concludes the first study on mouth-based emotion recognition while adopting a transfer learning approach. Transfer learning results are paramount for mouth-based emotion emotion recognition, because few datasets are available, and most of them ...
Valentina Franzoni +3 more
doaj +1 more source
Emotion recognition based on group phase locking value using convolutional neural network
Electroencephalography (EEG)-based emotion recognition is an important technology for human–computer interactions. In the field of neuromarketing, emotion recognition based on group EEG can be used to analyze the emotional states of multiple users ...
Gaochao Cui, Xueyuan Li, Hideaki Touyama
doaj +1 more source
Emotion recognition is crucial in understanding human affective states with various applications. Electroencephalography (EEG)—a non-invasive neuroimaging technique that captures brain activity—has gained attention in emotion recognition.
Chenguang Gao +2 more
doaj +1 more source
HORUS: An Emotion Recognition Tool [PDF]
Emotion is an essential part of what means to be human, but it is still disregarded by most technical fields as something not to be considered in scientific or engineering projects. However, the understanding of emotion as an aspect of decision-making processes and of modelling of human behavior is essential to create a better connection between humans
André Teixeira 0002 +3 more
openaire +2 more sources
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers +19 more
wiley +1 more source

