ACTIVITY OF YOUNG PEOPLE WITH DISABILITIES IN THE DIGITAL ENVIRONMENT

Young people with disabilities are often socially inactive because their participation in social and economic processes is limited. In order to reduce this, digital technologies are important, the use of which allows any individual to engage in various types of activities (educational, cultural, economic, etc.).Objective of the paper: to analyze the results of exploratory research on the activity of young people with disabilities in the digital environment. Methods: questionnaire, focus discussion.The results suggest that support and education measures require a differentiated approach, in which it is important to determine the level of interests and digital competence of each young person with disabilities, clearly set goals that can be adapted to individual needs, tasks according to individual abilities/skills. This means working in small groups or individually

Factors related to braille acquisition among adult and senior learners : establishing evidence-based practice

Les difficultés de lecture sont les raisons les plus fréquentes pour lesquelles des personnes sont orientées vers un service de réadaptation visuelle. Bien qu’il existe une base historique solide à propos de l’enseignement du braille chez les enfants aveugles, il existe très peu de données probantes concernant l’apprentissage du braille chez les personnes en âge de travailler et les personnes âgées. De surcroît, bien qu’il soit clair que le vieillissement est associé à un déclin des capacités tactiles, motrices et cognitives, on sait peu de choses sur la manière dont ces variables peuvent influencer les résultats de la lecture du braille. Pour examiner cette problématique, une étude en quatre phases a été conceptualisée. Dans la première phase, une étude de la portée a été menée afin de synthétiser les connaissances existantes concernant la relation entre le déclin des capacités lié au vieillissement et la performance de la lecture en braille. La seconde a voulu étudier les obstacles et les facilitateurs rencontrés par les adultes qui suivent une formation en braille. La troisième a exploré les variables qui sont en corrélation avec la performance de lecture en braille à l’âge adulte. Enfin, la dernière phase a voulu se pencher sur l’influence du support de lecture sur la performance de lecture des adultes ayant une sensibilité tactile réduite. Les preuves antérieures concernant le braille et le vieillissement restent rares. Il existe une variété de facteurs personnels, sociaux et institutionnels qui façonnent le processus d’apprentissage du braille chez les adultes, incluant la stigmatisation envers le braille et le vieillissement perçue par certains praticiens, des services inadéquats et des difficultés à l’accès aux équipements brailles. Des données soulignent la nécessité de commencer l’apprentissage du braille le plus tôt possible, d’évaluer des mesures objectives de l’acuité tactile tout en considérant le rôle de la fonction du toucher, de fournir une formation accrue en matière de perception tactile et d’envisager une plus grande intégration d’appareils braille. Les résultats font également ressortir la nécessité d’augmenter le financement et les services ; de définir des critères d’éligibilité qui tiennent compte des réalités uniques des clients âgés et l’accès au braille ; et d’étudier plus avant le rôle de la stigmatisation vis-à-vis du braille et du vieillissement. En somme, tous ces éléments réunis peuvent influencer à la fois les décisions cliniques et les résultats d’apprentissage.Reading difficulties are the most common reasons for referral to vision rehabilitation. Though there is a strong historical basis for the provision of braille instruction among blind children, there is little evidence-based research on the needs of working-age and older adults. Aging is associated with declines in tactile, motor and cognitive capacities. Moreover, learning in adulthood is distinct from childhood learning, owing to differences in cortical plasticity and development. Little is known about how these variables may influence braille reading outcomes, but such knowledge is needed to inform the design of evidence-based strategies. For example, low-cost braille devices incorporate dots of greater height and density, but the extent to which such approaches may enhance reading performance for older adults with reduced tactile sensitivity remains unexplored. These questions are especially imperative as the prevalence of age-related vision loss continues to increase. A four-phase study was devised to synthesize prior evidence on the interrelationship between factors known to decline with age and braille reading performance; to investigate the barriers and facilitators encountered by working-age and older adults who pursue braille training; to identify variables that correlate with braille reading performance in adulthood; and to explore the influence of reading medium on the reading performance of adults with reduced tactile sensitivity. This thesis confirms that prior evidence on braille and aging remains scant, heightening the imperative for further research in this domain. Moreover, there are a variety of personal, social and institutional factors which shape the adult braille learning process, including perceived stigma towards braille and aging among some practitioners, inadequate services and access to braille devices. Braille learning age, frequency of usage, and measures of active tactile acuity emerged as significant correlates of braille reading speed. Preliminary evidence suggests that using braille displays with greater dot height enhances performance for those with reduced tactile sensitivity, while also enabling immediate access to relevant reading content. Collectively, these findings point to the need for rehabilitation practitioners to introduce braille as early as possible, evaluate objective measures of tactile acuity while also considering the role of functional touch, provide increased training in tactile perception, and consider a wider integration of braille devices. Findings also highlight the need for increased funding and services, eligibility criteria which takes into account the unique realities of older braille clients, and the need to further explore the role of stigma towards braille and aging which may influence both clinical decisions and learning outcomes

The Relationship of Somatosensory Perception and Fine-Force Control in the Adult Human Orofacial System

The orofacial area stands apart from other body systems in that it possesses a unique performance anatomy whereby oral musculature inserts directly into the underlying cutaneous skin, allowing for the generation of complex three-dimensional deformations of the orofacial system. This anatomical substrate provides for the tight temporal synchrony between self-generated cutaneous somatosensation and oromotor control during functional behaviors in this region and provides the necessary feedback needed to learn and maintain skilled orofacial behaviors. The Directions into Velocity of Articulators (DIVA) model highlights the importance of the bidirectional relationship between sensation and production in the orofacial region in children learning speech. This relationship has not been as well-established in the adult orofacial system. The purpose of this observational study was to begin assessing the perception-action relationship in healthy adults and to describe how this relationship may be altered as a function of healthy aging. This study was designed to determine the correspondence between orofacial cutaneous perception using vibrotactile detection thresholds (VDT) and low-level static and dynamic force control tasks in three representative age cohorts. Correlational relationships among measures of somatosensory capacity and low-level skilled orofacial force control were determined for 60 adults (19-84 years). Significant correlational relationships were identified using non-parametric Spearman’s correlations with an alpha at 0.1 between the 5 Hz test probe and several 0.5 N low-level force control assessments in the static and slow ramp-and-hold condition. These findings indicate that as vibrotactile detection thresholds increase (labial sensation decreases), ability to maintain a low-level force endpoint decreases. Group data was analyzed using non-parametric Kruskal-Wallis tests and identified significant differences between the 5 Hz test frequency probe and various 0.5 N skilled force assessments for group variables such as age, pure tone hearing assessments, sex, speech usage and smoking history. Future studies will begin the processing of modeling this complex multivariate relationship in healthy individuals before moving to a disordered population

Accessibility of Health Data Representations for Older Adults: Challenges and Opportunities for Design

Health data of consumer off-the-shelf wearable devices is often conveyed to users through visual data representations and analyses. However, this is not always accessible to people with disabilities or older people due to low vision, cognitive impairments or literacy issues. Due to trade-offs between aesthetics predominance or information overload, real-time user feedback may not be conveyed easily from sensor devices through visual cues like graphs and texts. These difficulties may hinder critical data understanding. Additional auditory and tactile feedback can also provide immediate and accessible cues from these wearable devices, but it is necessary to understand existing data representation limitations initially. To avoid higher cognitive and visual overload, auditory and haptic cues can be designed to complement, replace or reinforce visual cues. In this paper, we outline the challenges in existing data representation and the necessary evidence to enhance the accessibility of health information from personal sensing devices used to monitor health parameters such as blood pressure, sleep, activity, heart rate and more. By creating innovative and inclusive user feedback, users will likely want to engage and interact with new devices and their own data

Motor control-based assessment of therapy effects in individuals post-stroke: implications for prediction of response and subject-specific modifications

Producing a coordinated motion such as walking is, at its root, the result of healthy communication pathways between the central nervous system and the musculoskeletal system. The central nervous system produces an electrical signal responsible for the excitation of a muscle, and the musculoskeletal system contains the necessary equipment for producing a movement-driving force to achieve a desired motion. Motor control refers to the ability an individual has to produce a desired motion, and the complexity of motor control is a mathematical concept stemming from how the electrical signals from the central nervous system translate to muscle activations. Exercising a high-level complexity of motor control is critical to producing a smooth motion. However, the occurrence of a sudden, detrimental neurological event like a stroke damages these connecting pathways between these two systems, and the result is a motion that is uncoordinated and energy-inefficient due to diminished motor control complexity. Stroke is a leading cause of disability with nearly 800,000 stroke victims each year in the U.S. alone, amounting to an estimated cost of $45.5B. Impaired mobility following a stroke is a widespread effect, with more than half of survivors over the age of 65 affected in this way, and up to 80% of survivors at some point experiencing hemiparesis during post-stroke recovery. As such, given the importance of independent mobility for quality of life, improving gait mechanics and mobility of stroke survivors has been the goal of rehabilitation efforts for decades. In this work, we mold together the forefronts of statistics and computational physics-based modeling to obtain insight and information about post-stroke hemiparetic gait mechanics and what drives them that would otherwise be unavailable. We expand upon previous work to quantify motor control complexity as it relates to the health of the neuromuscular system and analyze the effect of a specific therapy on motor control of individuals post-stroke. Secondly, we aim to develop a predictive model to conclude whether an individual will respond to the therapy based on kinematic and dynamic features from pre-therapy recordings. Lastly, we will determine how to individually tailor this therapy in order to achieve maximum improvement in motor control complexity in order to improve gait mechanics in individuals post-stroke

A Machine-Learning-Based Investigation of Schizophrenia Using Structural MRI

openSchizophrenia is a serious mental health concerns that affects 1% of the population (Jones et al., 2005). This study aimed to create objective tools that can correctly classify people with schizophrenia according to their diagnosis, predominant symptoms, illness duration, and illness severity based on their structural brain imaging variables. 1087 brain images (700=healthy controls, 387=people with schizophrenia) included in the analysis. Support Vector Machines, random forests, logistic regression, and XGBoost were used for diagnostic classification and reached 71% of maximum accuracy. Sulcal width was found to be the most important brain imaging variable that differed between groups. Support vector machines and random forests were used to classify patients according to their predominant symptoms and these classifications reached a maximum accuracy of 66%. Support vector machines could correctly classify people with schizophrenia according to their illness duration with a 75% accuracy and according to their illness severity with 69%. The result of the study shows that using machine learning methods, it is possible to create objective tools for schizophrenia that can be later used in clinics. Keywords: Schizophrenia, Structural MRI, Machine Learning ClassificationSchizophrenia is a serious mental health concerns that affects 1% of the population (Jones et al., 2005). This study aimed to create objective tools that can correctly classify people with schizophrenia according to their diagnosis, predominant symptoms, illness duration, and illness severity based on their structural brain imaging variables. 1087 brain images (700=healthy controls, 387=people with schizophrenia) included in the analysis. Support Vector Machines, random forests, logistic regression, and XGBoost were used for diagnostic classification and reached 71% of maximum accuracy. Sulcal width was found to be the most important brain imaging variable that differed between groups. Support vector machines and random forests were used to classify patients according to their predominant symptoms and these classifications reached a maximum accuracy of 66%. Support vector machines could correctly classify people with schizophrenia according to their illness duration with a 75% accuracy and according to their illness severity with 69%. The result of the study shows that using machine learning methods, it is possible to create objective tools for schizophrenia that can be later used in clinics. Keywords: Schizophrenia, Structural MRI, Machine Learning Classificatio

Integrated Web Accessibility Guidelines for Users on the Autism Spectrum - from Specification to Implementation

This research presented a compendium of web interface design guidelines and their implementation on a transport-planning website based on the needs and preferences of users on the autism spectrum. Results highlighted the importance of having simple navigation and meaningful headings, icons, labels and text to facilitate understanding and readability; these findings offer guidelines for the design of web user interfaces to continue improving the web experience of autistic users, and therefore of the whole community