Results 51 to 60 of about 71,619 (264)
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
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
ABSTRACT Background Although significant progress has been made in childhood leukemia survival, healthcare providers, and caregivers often face challenges in explaining this disease to patients. Disease‐targeted storybooks have been proposed as a tool to facilitate the understanding of diagnoses and treatment.
Nutvipha Ummartyotin +6 more
wiley +1 more source
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
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
Since emotion recognition involves integration of the visual and auditory signals, it is likely that sensory impairments worsen emotion recognition.
Minke J. de Boer +3 more
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
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
ABSTRACT Background Animal‐assisted activities (AAAs) with therapy dogs have shown positive effects on patient well‐being and quality of life in various areas of medicine, including pediatric oncology. However, research on this topic is limited. The aim of this study is to present the current status of AAA in pediatric oncology in Germany, Austria, and
Jan‐Marius Wedig +7 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

