Attention Assessment: Evaluation of Facial Expressions of Children with Autism Spectrum Disorder

Banire, Bilikis; Al-Thani, Dena; Makki, Mustapha; Qaraqe, Marwa; Anand, Kruthika; Connor, Olcay; Khowaja, Kamran; Mansoor, Bilal

doi:10.1007/978-3-030-23563-5_4

Cited by 10 publications

(16 citation statements)

References 37 publications

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“…Technology based interventions seem promising because of the attention sustaining potential, but, at present, evidence of the success of such approaches is poor [172,250]. Examples are interventions for acquiring language skills [226], for differentiating facial expressions [19], treating food selectivity [20], or anxiety or stress management [37].…”

Section: Other Substances Supplementary and Alternative Therapiesmentioning

confidence: 99%

“…A number of physicians encourage multivitamins (49%), essential fatty acids (25%), melatonin (25%), and probiotics (19%), and discourage withholding (76%) or delaying immunizations (55%), chelation (61%), anti-infectives (57%), or secretin (43%) [120]. It has to be stated that there is no clinical evidence for applying specific (e.g., gluten-free or pro-biotic) diets [203], vitamins 18 [155,237], oligominerals, herbal medicine [311], transfer of energy, chelates 19 [151], or biologicals such as secretin [180,186]. It has been found that 10% of parents even use potentially dangerous "medication" such as "whole-brain extracts" [185].…”

Section: Other Substances Supplementary and Alternative Therapiesmentioning

confidence: 99%

“…This is disputed for vitamin D: evidence[155] vs. no evidence[204] 19. For heavy metal detoxication.…”

mentioning

confidence: 99%

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Practitioner’s review: medication for children and adolescents with autism spectrum disorder (ASD) and comorbid conditions

2021

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Alleviating the multiple problems of children with autism spectrum disorder (ASD) and its comorbid conditions presents major challenges for the affected children, parents, and therapists. Because of a complex psychopathology, structured therapy and parent training are not always sufficient, especially for those patients with intellectual disability (ID) and multiple comorbidities. Moreover, structured therapy is not available for a large number of patients, and pharmacological support is often needed, especially in those children with additional attention deficit/hyperactivity and oppositional defiant, conduct, and sleep disorders.

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Section: Other Substances Supplementary and Alternative Therapiesmentioning

confidence: 99%

Section: Other Substances Supplementary and Alternative Therapiesmentioning

confidence: 99%

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Practitioner’s review: medication for children and adolescents with autism spectrum disorder (ASD) and comorbid conditions

2021

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“…2 As a result, it is becoming difficult for these children to manage their social interactions even though they genuinely wanted to develop relationships. 3 Children with ASD may also lack the ability to comfort others or share their own emotions. Sometimes, they may interpret a situation incorrectly and respond with unintended behavior or emotions.…”

Section: Literature Reviewmentioning

confidence: 99%

Augmented reality emotion recognition for autism spectrum disorder children

2021

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Autism spectrum disorder (ASD) is a lifelong neurodevelopmental disorder that affects brain development. The prevalence of ASD is one in 68 children. Low social motivation is the main cause in developing social communication skills deficiency. As a result, it is becoming difficult for them to express themselves, to be able to manage social interactions, and they lack the ability to comfort others and even share their own feelings. This study aimed to design a mobile application based on augmented reality (AR) focusing on social interactions and communication aspect for children with ASD. The scope is in emotion recognition, which makes use of emotional icons to help them improve their social skills, more specifically on helping them to recognize various emotions. The emotions are represented by emojis inspired by Dr. Paul Ekman who has created the basic six emotions, namely happiness, sadness, disgust, fear, surprise, and angry. Additional emotions such as confound face, winking with tongue, cold sweat, blowing kiss, flushed, sleepy, disappointed, and winking are included. AR is able to gage the children’s attention when they view the animated emojis. The application enables the children with ASD to be more willing in recognizing different emotional expressions and improve their social skills by expressing their own feelings. The scope of the study is limited to emotion recognition. It is developed based on literature reviews without guidance of any certified ASD specialist. AR is an interactive technology that places digital information in our physical world in real time, providing precise registration in all three dimensions. Existing literature proved that the traditional face-to-face teaching methods have failed to increase the interest and ability of ASD children because the teacher has full control in the classroom. This study adds value to the existing works to incorporate AR as additional intervention in treating ASD children.

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“…For the education application, particularly in e-learning, a few research works have focused on providing a better learning environment [6,7,8]. Some works are specialized for children and adults suffering from autism [9,10]. Closely related approaches use an eye tracking device to track students' states [11,12,13].…”

Section: Introductionmentioning

confidence: 99%

Learners’ Efficiency Prediction Using Facial Behavior Analysis

Verma

Nakashima

Kobori

et al. 2021

2021 IEEE International Conference on Image Processing (ICIP)

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In the e-learning context, how much the learner is concentrated and engaged, or the learners' efficiency, is essential for providing adaptive and flexible materials, timely suggestions, etc., which can lead to efficient learning. In this work, we explore to predict learners' efficiency with a realistic configuration, in which we use a webcam or a laptop PC's built-in camera. Specifically, we first provide a feasible definition of the learners' efficiency, and based on this definition, we predict one's efficiency from facial behavior. We predict the learners' efficiency using various convolutional neural networks. Results are discussed using different evaluation metrics.

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Attention Assessment: Evaluation of Facial Expressions of Children with Autism Spectrum Disorder

Cited by 10 publications

References 37 publications

Practitioner’s review: medication for children and adolescents with autism spectrum disorder (ASD) and comorbid conditions

Practitioner’s review: medication for children and adolescents with autism spectrum disorder (ASD) and comorbid conditions

Augmented reality emotion recognition for autism spectrum disorder children

Learners’ Efficiency Prediction Using Facial Behavior Analysis

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