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18,522 result(s) for "Braille."
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Haptics visualisation of scientific data for visually impaired users
Visualisations of numerical data often used in science, engineering and mathematics are not easily accessible to visually impaired students. This paper describes the development and evaluation of a multimodal system to present graphical data in real-time to those students. Haptic interfaces form the primary interaction, along with auditory feedback allowing graphs to be perceived through touch, sounds and speech. The results show that the system can be used to quickly and accurately obtain information from a graph. It has been demonstrated that haptic devices can be successfully used to allow access to line graph data.
Characterization of English Braille Patterns Using Automated Tools and RICA Based Feature Extraction Methods
Braille is used as a mode of communication all over the world. Technological advancements are transforming the way Braille is read and written. This study developed an English Braille pattern identification system using robust machine learning techniques using the English Braille Grade-1 dataset. English Braille Grade-1 dataset was collected using a touchscreen device from visually impaired students of the National Special Education School Muzaffarabad. For better visualization, the dataset was divided into two classes as class 1 (1–13) (a–m) and class 2 (14–26) (n–z) using 26 Braille English characters. A position-free braille text entry method was used to generate synthetic data. N = 2512 cases were included in the final dataset. Support Vector Machine (SVM), Decision Trees (DT) and K-Nearest Neighbor (KNN) with Reconstruction Independent Component Analysis (RICA) and PCA-based feature extraction methods were used for Braille to English character recognition. Compared to PCA, Random Forest (RF) algorithm and Sequential methods, better results were achieved using the RICA-based feature extraction method. The evaluation metrics used were the True Positive Rate (TPR), True Negative Rate (TNR), Positive Predictive Value (PPV), Negative Predictive Value (NPV), False Positive Rate (FPR), Total Accuracy, Area Under the Receiver Operating Curve (AUC) and F1-Score. A statistical test was also performed to justify the significance of the results.
A bioinspired flexible organic artificial afferent nerve
Sensory (or afferent) nerves bring sensations of touch, pain, or temperature variation to the central nervous system and brain. Using the tools and materials of organic electronics, Kim et al. combined a pressure sensor, a ring oscillator, and an ion gel–gated transistor to form an artificial mechanoreceptor (see the Perspective by Bartolozzi). The combination allows for the sensing of multiple pressure inputs, which can be converted into a sensor signal and used to drive the motion of a cockroach leg in an oscillatory pattern. Science , this issue p. 998 ; see also p. 966 Organic flexible electronics mimic the functions of a biological afferent nerve and actuate muscles. The distributed network of receptors, neurons, and synapses in the somatosensory system efficiently processes complex tactile information. We used flexible organic electronics to mimic the functions of a sensory nerve. Our artificial afferent nerve collects pressure information (1 to 80 kilopascals) from clusters of pressure sensors, converts the pressure information into action potentials (0 to 100 hertz) by using ring oscillators, and integrates the action potentials from multiple ring oscillators with a synaptic transistor. Biomimetic hierarchical structures can detect movement of an object, combine simultaneous pressure inputs, and distinguish braille characters. Furthermore, we connected our artificial afferent nerve to motor nerves to construct a hybrid bioelectronic reflex arc to actuate muscles. Our system has potential applications in neurorobotics and neuroprosthetics.
Design and Build Special Learning Media: Electrical Circuit Kits For Visually Impaired Students
Students with disabilities who are visually impaired have difficulty understanding the concepts of electrical circuits due to the limited visualization that can be applied during the learning process. Therefore, specialized learning materials must be designed to accommodate the needs and learning styles of visually impaired students to make electrical circuit concepts easier to understand. This study discusses the results of research on an adaptive tool for visually impaired students, namely an Electrical Circuit Kit equipped with tactile Braille and audio features containing educational recordings about electrical circuits. This research was conducted on visually impaired students at SLB-A upper secondary level. This research is an R&D study using the 4-D development model: Define, Design, Develop, and Disseminate. Based on expert evaluation, the Electrical Circuit Kit equipped with tactile and audio features has very good quality, scoring 97% of the ideal score. Meanwhile, the evaluation by experts in inclusive learning media indicates that the learning media of the Electrical Circuit Kit has very good quality, with a percentage of 95% of the ideal score. This study recommends that visually impaired students utilize innovative and adaptive tools such as the Electrical Circuit Kit, which is designed to accommodate their specific needs, to facilitate their understanding and provide a practical visualization of electrical circuit concepts.
A comparative study of tactile perception in blind and sighted subjects
Background: Blind people are underprivileged from visual experience and visual imaginary that result them to become more dependent on haptic system for the job of tactile perception. Thus, the self-guided tactile investigation in blind individuals enables them to recognize the shapes more rapidly than the sighted counterparts. Aim and Objectives: The aim of the study was to see the increased tactile perception among the blind than the blind folded sighted subjects. Materials and Methods: The study was carried out on 150 blind and 181 blindfolded sighted subjects. In this, each subject was instructed to arrange the aluminum oxide abrasive sand papers of different grit size having grade 60, 80, 100, 120, 140, 200, 240, 360, 400, and 600 from rough to smooth as fast and accurate as possible in seconds to express the functions of haptic sense. Results: The present study showed that the blind subjects had outperformed in terms of speed and accuracy of tactile perception. Conclusions: Lack of vision among blind individuals enables their brain to enhance the sense of vision and the previous tactile exposure and memories along with their regular practice enhance the touch perception in terms of speed and accuracy.