Artificial Intelligence Based Techniques for the Detection of Socio-Behavioral Disorders: A Systematic Review

Mengi, Mehak; Malhotra, Deepti

doi:10.1007/s11831-021-09682-8

Cited by 12 publications

(10 citation statements)

References 130 publications

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“…To evaluate the teaching results of the business administration major more fairly and justly, we propose an evaluation method for the teaching effect of the business administration major on public mental health based on artificial intelligence technology [24,25]. We adopt artificial intelligence-based mental health evaluation form and data analysis method, which enables researchers to approach the task scenario in a more simulated way, obtain multimodal data for analysis and modeling, and achieve more efficient and accurate predictions [26,27]. The application of mental health assessment based on artificial intelligence engineering to the teaching effect of business administration has a comprehensive range of applications, and it has certain conducting significance for the investigation on the teaching effect of business administration and avoids the interference of human factors [28].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] The Influence of Public Mental Health Based on Artificial Intelligence Technology on the Teaching Effect of Business Administration Major

2022

Journal of Environmental and Public Health

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As an emerging technology, public mental health based on artificial intelligence engineering has broad application and development prospects in improving teaching effects, realizing high efficiency and intelligence, and improving refined education. The application of public mental health based on artificial intelligence engineering in the practice of the teaching effect of business administration has a very positive significance for accurately discovering the mental health and teaching effect of business administration students. For the sake of improving the teaching effect of business administration major, we come up with a method for the influence of public mental health on the teaching effect of business administration profession based on artificial intelligence engineering. Firstly, we collect the video and audio of the teaching of business administration, conducts data screening and cleaning, and sorts out the video and audio synchronization clips as training data. Secondly, we propose a multimodal feature extraction network and a multimodal fusion network for the extraction and fusion of video and audio clips, respectively. Then, the fully connected network structure is used to evaluate and classify the effect of business administration professional teaching, and use mental health factors for evaluation to avoid human intervention and improve the prediction effect. Finally, through intensive experimental results, we prove that the method raised by us can use artificial intelligence engineering to evaluate the teaching effect of business administration majors from the perspective of public mental health and achieve good experimental results.

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Section: Introductionmentioning

confidence: 99%

[Retracted] The Influence of Public Mental Health Based on Artificial Intelligence Technology on the Teaching Effect of Business Administration Major

2022

Journal of Environmental and Public Health

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“…At the same time, patients with schizophrenia demonstrated fewer hand gestures [ 373 ], fewer small and large head movements, and shorter duration of eye contact compared to those with depression [ 358 ], [ 360 ], [ 374 ]. Additional studies have detected attention deficit hyperactivity disorder from gestures and body movements [ 367 ]. Such differences have been used to diagnose mental health problems [ 375 ], [ 376 ].…”

Section: Beyond Emotion: Interaction With Other Domainsmentioning

confidence: 99%

“…In terms of anxiety disorders, a study showed that these individuals walked more slowly, took shorter steps, and demonstrated problems with balance and mobility [ 463 ], [ 476 ]. Studies have also used gait to identify bipolar disorder [ 477 ], autism spectrum disorders [ 367 ], and attention deficit hyperactivity disorder [ 367 ].…”

Section: Beyond Emotion: Interaction With Other Domainsmentioning

confidence: 99%

Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion

Wang

Zhao

et al. 2023

Proc. IEEE

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The emergence of artificial emotional intelligence technology is revolutionizing the fields of computers and robotics, allowing for a new level of communication and understanding of human behavior that was once thought impossible. While recent advancements in deep learning have transformed the field of computer vision, automated understanding of evoked or expressed emotions in visual media remains in its infancy. This foundering stems from the absence of a universally accepted definition of “emotion,” coupled with the inherently subjective nature of emotions and their intricate nuances. In this article, we provide a comprehensive, multidisciplinary overview of the field of emotion analysis in visual media, drawing on insights from psychology, engineering, and the arts. We begin by exploring the psychological foundations of emotion and the computational principles that underpin the understanding of emotions from images and videos. We then review the latest research and systems within the field, accentuating the most promising approaches. We also discuss the current technological challenges and limitations of emotion analysis, underscoring the necessity for continued investigation and innovation. We contend that this represents a “Holy Grail” research problem in computing and delineate pivotal directions for future inquiry. Finally, we examine the ethical ramifications of emotion-understanding technologies and contemplate their potential societal impacts. Overall, this article endeavors to equip readers with a deeper understanding of the domain of emotion analysis in visual media and to inspire further research and development in this captivating and rapidly evolving field.

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“…Mengi and Malhotra ( 2021 ) explore the use of artificial intelligence (AI) techniques for the detection of socio-behavioral disorders (SBD), which is a subtype of neurodevelopmental disorders (NDDs). SBDs include conditions such as Autism Spectrum Disorder (ASD) and attention deficit hyperactivity disorder (ADHD).…”

Section: Neurodevelopmental Disorders and Ai Related Technologiesmentioning

confidence: 99%

A social robot connected with chatGPT to improve cognitive functioning in ASD subjects

Bertacchini,

Demarco,

Scuro

et al. 2023

Front. Psychol.

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Neurodevelopmental Disorders (NDDs) represent a significant healthcare and economic burden for families and society. Technology, including AI and digital technologies, offers potential solutions for the assessment, monitoring, and treatment of NDDs. However, further research is needed to determine the effectiveness, feasibility, and acceptability of these technologies in NDDs, and to address the challenges associated with their implementation. In this work, we present the application of social robotics using a Pepper robot connected to the OpenAI system (Chat-GPT) for real-time dialogue initiation with the robot. After describing the general architecture of the system, we present two possible simulated interaction scenarios of a subject with Autism Spectrum Disorder in two different situations. Limitations and future implementations are also provided to provide an overview of the potential developments of interconnected systems that could greatly contribute to technological advancements for Neurodevelopmental Disorders (NDD).

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Artificial Intelligence Based Techniques for the Detection of Socio-Behavioral Disorders: A Systematic Review

Cited by 12 publications

References 130 publications

[Retracted] The Influence of Public Mental Health Based on Artificial Intelligence Technology on the Teaching Effect of Business Administration Major

[Retracted] The Influence of Public Mental Health Based on Artificial Intelligence Technology on the Teaching Effect of Business Administration Major

Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion

A social robot connected with chatGPT to improve cognitive functioning in ASD subjects

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