Using Assistive Technologies in Autism Care Centers to Support Children Develop Communication and Language Skills. A Case Study: Albania

In this paper, we propose the use of the smart environment based on Internet of Things (IoT) and P2P technology as a form of assistive environment in autism care centers to support children develop communication and language skills. We are going to propose the use of the smart environment in Albanian Regional Center for Autism in Tirana, Albania. The smart environment is proposed as an assistive environment for this center in order to support students’ learning during the time that they come to the center for support. Our proposed system uses JXTA-Overlay platform and SmartBox device to monitor the children and create P2P communication between children, caregivers and therapists. Various visual systems, such as objects, photographs, realistic drawings, line drawings, and written words used with assorted modes of technology can support engaged learning and then can increase and maintain the concentration of children with ASD during learning

Effect of sensory-based technologies on atypical sensory responses of children with Autism Spectrum Disorder: A systematic review

© 2021 ACM, Inc. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1145/3485768.3485782.Atypical sensory responses are one of the most common issues observed in Autism Spectrum Disorder (ASD), affecting the development of a child's capability for social interaction, independent living and learning. In the past two decades, there has been a growing number of studies of technology-based interventions for atypical sensory responses of individuals with ASD. However, their effects and limitations have not been fully examined. This systematic review investigates the effects of sensory-based technologies (SBTs) on atypical sensory responses of children with ASD. Publications that report on the use of a SBT as an intervention tool were retrieved from four academic databases: “PubMed”, “IEEE Xplore”, “ACM Digital Library” and “Web of Science”. The search finally yielded 18 articles. The results indicated an emerging trend of studies investigating the effects of SBTs on atypical sensory responses over the past decade. Challenges and limitations were found in studies, mainly because the literatures adopted different methods and indicators, small sample sizes, and varying experimental designs. Findings were that the use of SBTs could effectively improve auditory and visual recognition, and some other behavioural outcomes such as attention in children with ASD. Future development of SBTs could further integrate more advanced techniques, such as machine learning, in order to widen the scope of SBTs usage to help more ASD children

An Advanced Conceptual Diagnostic Healthcare Framework for Diabetes and Cardiovascular Disorders

The data mining along with emerging computing techniques have astonishingly influenced the healthcare industry. Researchers have used different Data Mining and Internet of Things (IoT) for enrooting a programmed solution for diabetes and heart patients. However, still, more advanced and united solution is needed that can offer a therapeutic opinion to individual diabetic and cardio patients. Therefore, here, a smart data mining and IoT (SMDIoT) based advanced healthcare system for proficient diabetes and cardiovascular diseases have been proposed. The hybridization of data mining and IoT with other emerging computing techniques is supposed to give an effective and economical solution to diabetes and cardio patients. SMDIoT hybridized the ideas of data mining, Internet of Things, chatbots, contextual entity search (CES), bio-sensors, semantic analysis and granular computing (GC). The bio-sensors of the proposed system assist in getting the current and precise status of the concerned patients so that in case of an emergency, the needful medical assistance can be provided. The novelty lies in the hybrid framework and the adequate support of chatbots, granular computing, context entity search and semantic analysis. The practical implementation of this system is very challenging and costly. However, it appears to be more operative and economical solution for diabetes and cardio patients.Comment: 11 PAGE

Tecnologia assistiva para crianças com transtorno do espectro autista que vivenciam estresse e ansiedade

With the development of current technology and influences that have been made by the Industry 4.0 utilizing ICTs, IoT, smart systems and products and many others, Assistive Technology (AT) is an important and integral part of the daily life of many people who experience disabilities. Autism Spectrum Disorder (ASD) is a special category of disorder that can greatly benefit from its use. The purpose of this research is to collect data of Assistive Technology aimed at the detection, prevention and improvement of anxiety and stress (a characteristic of which has been proven to exist and is expressed in various ways in people with ASD). In the introduction, basic definitions regarding the neurobiology of stress and ASD are analyzed. In the main part AT, stress and anxiety correlations are made with ASD and AT devices are described and documented regarding their use for anxiety and stress in children and adolescents with ASD. The Assistive equipment and devices are divided into 2 main categories, 1) Low-tech and 2) Mid-High tech. The results of the research reveal a significant research gap in the use of AT to combat stress and anxiety and the difficulty of many promising options (especially in the domain of Mid-High tech) to be an easy and economical solution in integrating them into the daily life of people with ASD.Con el desarrollo de la tecnología actual y las influencias que ha tenido la Industria 4.0 utilizando TIC, IoT, sistemas y productos inteligentes y muchos otros, la Tecnología de asistencia (TA) es una parte importante e integral de la vida diaria de muchas personas que sufren de discapacidad. . . El trastorno del espectro autista (TEA) es una categoría especial de trastorno que puede beneficiarse enormemente de su uso. El objetivo de esta investigación es recopilar datos de Tecnología Asistiva dirigidos a detectar, prevenir y mejorar la ansiedad y el estrés (una característica que está comprobada y se expresa de diferentes formas en las personas con TEA). En la introducción se analizan definiciones básicas sobre la neurobiología del estrés y el TEA. En su mayor parte se realizan correlaciones de TA, estrés y ansiedad con los TEA y se describen y documentan los dispositivos de TA en relación a su uso para la ansiedad y el estrés en niños y adolescentes con TEA. Los equipos y dispositivos de asistencia se dividen en 2 categorías principales, 1) Tecnología baja y 2) Tecnología media-alta. Los resultados de la encuesta revelan una importante brecha de investigación en el uso de TA para combatir el estrés y la ansiedad y la dificultad de que muchas opciones prometedoras (especialmente en el dominio tecnológico medio-alto) sean una solución fácil y rentable para integrarlas en la vida cotidiana. de personas con TEA.Com o desenvolvimento da tecnologia atual e as influências que foram feitas pela Indústria 4.0 utilizando TICs, IoT, sistemas e produtos inteligentes e muitos outros, a Tecnologia Assistiva (TA) é uma parte importante e integrante da vida diária de muitas pessoas que sofrem de deficiência. O Transtorno do Espectro do Autismo (TEA) é uma categoria especial de transtorno que pode se beneficiar muito com seu uso. O objetivo desta pesquisa é coletar dados de Tecnologia Assistiva voltados para a detecção, prevenção e melhora da ansiedade e do estresse (característica que comprovadamente existe e se expressa de diversas formas em pessoas com TEA). Na introdução, são analisadas definições básicas sobre a neurobiologia do estresse e do TEA. Na parte principal, são feitas correlações de TA, estresse e ansiedade com ASD e dispositivos de TA são descritos e documentados em relação ao seu uso para ansiedade e estresse em crianças e adolescentes com TEA. Os equipamentos e dispositivos assistivos são divididos em 2 categorias principais, 1) Low-tech e 2) Mid-High tech. Os resultados da pesquisa revelam uma lacuna significativa de pesquisa no uso de TA para combater o estresse e a ansiedade e a dificuldade de muitas opções promissoras (especialmente no domínio da tecnologia média-alta) serem uma solução fácil e econômica em integrá-las ao cotidiano de pessoas com TEA

Recent Developments in Smart Healthcare

Medicine is undergoing a sector-wide transformation thanks to the advances in computing and networking technologies. Healthcare is changing from reactive and hospital-centered to preventive and personalized, from disease focused to well-being centered. In essence, the healthcare systems, as well as fundamental medicine research, are becoming smarter. We anticipate significant improvements in areas ranging from molecular genomics and proteomics to decision support for healthcare professionals through big data analytics, to support behavior changes through technology-enabled self-management, and social and motivational support. Furthermore, with smart technologies, healthcare delivery could also be made more efficient, higher quality, and lower cost. In this special issue, we received a total 45 submissions and accepted 19 outstanding papers that roughly span across several interesting topics on smart healthcare, including public health, health information technology (Health IT), and smart medicine

Emoty: an Emotionally Sensitive Conversational Agent for People with Neurodevelopmental Disorders

Our research aims at exploiting the advances in conversational technology to support people with Neurodevelopmental Disorder (NDD). NDD is a group of conditions that are characterized by severe deficits in the cognitive, emotional and motor areas and produce severe impairments in communication and social functioning. This paper presents the design, technology and exploratory evaluation of Emoty, a spoken Conversational Agent (CA) created specifically for individuals with NDD. The goal of Emoty is to help these persons enhancing communication abilities related to emotional recognition and expression, which are fundamental in any form of human relationship. The system exploits emotion detection capabilities based on the semantics of the speech by calling the IBM Watson Tone Analyzer API and from the harmonic features of the audio thanks to an “all-of-us” Deep Learning model. The design and evaluation of Emoty are based on the close collaboration among computer engineers and specialists in NDD (psychologists, neurological doctors, educators)

Enhancing Proprioception and Regulating Cognitive Load in Neurodiverse Populations through Biometric Monitoring with Wearable Technologies

This paper considers the realm of wearable technologies and their prospective applications for individuals with neurodivergent conditions, specifically Autism Spectrum Disorders (ASDs). The study undertakes a multifaceted analysis that encompasses biomarker sensing technologies, AI-driven biofeedback mechanisms, and haptic devices, focusing on their implications for enhancing proprioception and social interaction among neurodivergent populations. While wearables offer a range of opportunities for societal advancement, a discernable gap remains: a scarcity of consumer-oriented applications tailored to the unique physiological and psychological needs of these individuals. Key takeaways underscore the emergent promise of tailored auditory stimuli in workplace dynamics and the efficacy of haptic feedback in sensory substitution. The investigation concludes with an urgent call for multidisciplinary research aimed at the development of specific consumer applications, rigorous empirical validation, and an ethical framework encompassing data privacy and user consent. As the pervasiveness of technology in daily life continues to expand, the article posits that there is an imperative for future research to shift from generalized solutions to individualized applications, thereby ensuring that the spectrum of wearable technology truly accommodates the full scope of human neurodiversity