Recognition of emotions in autistic children using physiological signals

2016 ◽  
Vol 6 (2) ◽  
pp. 137-147 ◽  
Author(s):  
Niranjana Krupa ◽  
Karthik Anantharam ◽  
Manoj Sanker ◽  
Sameer Datta ◽  
John Vijay Sagar
Keyword(s):  
Physiological Signals ◽  
Autistic Children ◽  
Recognition Of Emotions

Recognition of emotions using multimodal physiological signals and an ensemble deep learning model

2017 ◽  
Vol 140 ◽  
pp. 93-110 ◽  
Author(s):  
Zhong Yin ◽  
Mengyuan Zhao ◽  
Yongxiong Wang ◽  
Jingdong Yang ◽  
Jianhua Zhang
Keyword(s):  
Deep Learning ◽  
Learning Model ◽  
Physiological Signals ◽  
Recognition Of Emotions ◽  
Deep Learning Model

Recognition of emotions using ICEEMD-based characterization of multimodal physiological signals

2019 ◽  
Author(s):  
O. A. Ordonez-Bolanos ◽  
J. F. Gomez-Lara ◽  
M. A. Becerra ◽  
D. H. Peluffo-Ordonez ◽  
C. M. Duque-Mejia ◽  
...  
Keyword(s):  
Physiological Signals ◽  
Recognition Of Emotions

scholarly journals Single Trial Classification of EEG and Peripheral Physiological Signals for Recognition of Emotions Induced by Music Videos

2010 ◽  
pp. 89-100 ◽  
Author(s):  
Sander Koelstra ◽  
Ashkan Yazdani ◽  
Mohammad Soleymani ◽  
Christian Mühl ◽  
Jong-Seok Lee ◽  
...  
Keyword(s):  
Music Videos ◽  
Physiological Signals ◽  
Single Trial ◽  
Recognition Of Emotions

Development of Neural Structure and Function in Autism Spectrum Disorder: Potential Implications for Learning Language

2020 ◽  
Vol 29 (4) ◽  
pp. 1783-1797
Author(s):  
Kelly L. Coburn ◽  
Diane L. Williams
Keyword(s):  
Autism Spectrum Disorder ◽  
Language Development ◽  
Diffusion Tensor ◽  
Autism Spectrum ◽  
Language Intervention ◽  
Spectrum Disorder ◽  
Autistic Children ◽  
Neural Structure ◽  
Complex Information ◽  
And Function

Purpose Neurodevelopmental processes that begin during gestation and continue throughout childhood typically support language development. Understanding these processes can help us to understand the disruptions to language that occur in neurodevelopmental conditions, such as autism spectrum disorder (ASD). Method For this tutorial, we conducted a focused literature review on typical postnatal brain development and structural and functional magnetic resonance imaging, diffusion tensor imaging, magnetoencephalography, and electroencephalography studies of the neurodevelopmental differences that occur in ASD. We then integrated this knowledge with the literature on evidence-based speech-language intervention practices for autistic children. Results In ASD, structural differences include altered patterns of cortical growth and myelination. Functional differences occur at all brain levels, from lateralization of cortical functions to the rhythmic activations of single neurons. Neuronal oscillations, in particular, could help explain disrupted language development by elucidating the timing differences that contribute to altered functional connectivity, complex information processing, and speech parsing. Findings related to implicit statistical learning, explicit task learning, multisensory integration, and reinforcement in ASD are also discussed. Conclusions Consideration of the neural differences in autistic children provides additional scientific support for current recommended language intervention practices. Recommendations consistent with these neurological findings include the use of short, simple utterances; repetition of syntactic structures using varied vocabulary; pause time; visual supports; and individualized sensory modifications.

Review of Effective teaching methods for autistic children.

1975 ◽  
Vol 20 (3) ◽  
pp. 258-258
Author(s):  
JEANNE H. BLOCK
Keyword(s):  
Effective Teaching ◽  
Teaching Methods ◽  
Autistic Children

The Long, Hard Struggle: Effective Help for Autistic Children

1990 ◽  
Vol 35 (1) ◽  
pp. 21-22
Author(s):  
Lee M. Marcus
Keyword(s):  
Autistic Children

Best Practice for Teaching Autistic Children

PsycCRITIQUES ◽  
2006 ◽  
Vol 51 (8) ◽  
Author(s):  
Fawzy Ebrahim
Keyword(s):  
Best Practice ◽  
Autistic Children
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