Autism Barta — A smart device based automated autism screening tool for Bangladesh

Bardhan, Sharmistha; Mridha, G. M. Monjur Morshed; Ahmed, Eshtiak; Ullah, Md. Anwar; Ahmed, Helal Uddin; Akhter, Shaheen; Rabbani, Md. Golam; Mamun, Khondaker A.

doi:10.1109/iciev.2016.7760073

Cited by 19 publications

(10 citation statements)

References 9 publications

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“…This question is taken from M-CHAT algorithms. Many mobile applications are used to screen for Autism [106]. Google glasses as the wearable IoT Devices used for data collection.…”

Section: Asdmentioning

confidence: 99%

“…Nowadays, researchers focus on different mobile applications (Autism Barta [106]), devices (Google glass [77], wearable heart rate monitor [48], hand landmark detection [79]). In the case of mental disorders, smart devices can be ideal tools for detection.…”

Section: Asdmentioning

confidence: 99%

“…Internet of Things based ASD Detection [4], [116], [117], [100], [97], [80], [49], [78], [76], [92], [106], [77], [118], [91], [76], [48], [79], [39] 4.…”

Section: Asdmentioning

confidence: 99%

“…Mobile app based, Sharmistha Bardhan et al [106] designed a mobile app, "Autism Barta," for ASD detection. App used the M CHAT dataset question for ASD diagnosis.…”

Section: Asdmentioning

confidence: 99%

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A Systematic Survey of Technology Driven Diagnosis for ASD

Singh

Shukla

Gore

2022

Preprint

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Autism Spectrum Disorder (ASD), according to The Diagnostic and Statistical Manual of Mental Disorders- Fifth Edition (DSM-5), is a neurodevelopmental disorder that includes deficits of social interaction and social communication with the presence of restricted/repetitive behaviors. Due to communication deficits, ASD children have difficulties in joint attention and social reciprocity. Genetic disorders and/or environmental aspects are the leading causes of ASD. In 2021, the Centers for Disease Control and Prevention reported that approximately 1 among 44children in the U.S. is diagnosed with ASD. As per World Health Organization, ASD affects 14 out of every 10,000 children in Asian countries, which is approximately 23 children per 10,000 children in India. The Reported work shows that the early detection and intervention of ASD improve the language and communication deficiency of ASD children. This paper provides a comprehensive survey on various approaches to monitoring and detecting ASD children. Some monitoring and detection approaches covered in the study are clinical-based detection, MachineLearning -based ASD detection, Internet of Things (IoT)-based ASDdetection, Affective state detection, and Self Injurious Behaviour (SIB)detection of autistic children. This review also lists the several unaddressed challenges of early ASD detection. The purpose of this article is to enhance the understanding, provide guidelines for the domain, and provide insight into developing more practical and close-to-market products.

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“…This question is taken from M-CHAT algorithms. Many mobile applications are used to screen for Autism [106]. Google glasses as the wearable IoT Devices used for data collection.…”

Section: Asdmentioning

confidence: 99%

Section: Asdmentioning

confidence: 99%

“…Internet of Things based ASD Detection [4], [116], [117], [100], [97], [80], [49], [78], [76], [92], [106], [77], [118], [91], [76], [48], [79], [39] 4.…”

Section: Asdmentioning

confidence: 99%

“…Mobile app based, Sharmistha Bardhan et al [106] designed a mobile app, "Autism Barta," for ASD detection. App used the M CHAT dataset question for ASD diagnosis.…”

Section: Asdmentioning

confidence: 99%

See 2 more Smart Citations

A Systematic Survey of Technology Driven Diagnosis for ASD

Singh

Shukla

Gore

2022

Preprint

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“…Beyond the technological challenges in terms of infrastructure, sociocultural perspectives and stigma around autism pose unique challenges; for instance, the hesitancy of parents to reach out and seek timely help for ASD-related symptoms at an early age of children with autism [35]. Autism Barta [34] is smartphone based automated screening approach that integrates the questions of M-CHAT screening tool [36] in Bengali with the help of animations and suggests nearby autism resource centers based on the data analyzed. The Bengali translation increases accessibility to caregivers who are not comfortable with English.…”

Section: Autism Technology In Bangladeshmentioning

confidence: 99%

Confronting Autism in Urban Bangladesh: Unpacking Infrastructural and Cultural Challenges

Ehsan¹,

Sakib²,

Haque³

et al. 2018

EAI Endorsed Trans Perv Health Tech

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Autism Spectrum Disorder (ASD) is a critical problem worldwide; however, low and middle-income countries (LMICs) often suffer more from it due to the lack of contextual research and effective care infrastructure. Moreover, ASD in LMICs offers unique challenges as cultural misperceptions and social practices often impede effective care there. However, the recent growth in mobile phone adoption in many LMICs has created a timely opportunity for improving ASD care practices through digital means. We present qualitative findings on the challenges of designing mobile assistive technologies for ASD in Bangladesh. Our data reveals a set of technical, social, and cultural challenges with caregivers and care professionals for designing a meaningful technology for them. We show how those challenges are deeply rooted in the broader infrastructural and cultural tensions of the country. We also present embedded design implications to overcome these challenges.

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