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EN
The paper presents an evolutionary multi-objective approach to automatically generate morphological filters to solve unknown distances areas, found in depth images used by real-time embedded systems for visually impaired people, and to prevent accidents. It was used Cartesian Genetic Programming as base for the NSGAII multi-objective optimization algorithm proposed to optimize two objectives: low error rates for quality x low complexity for speed. Results showed this approach was able to deliver feasible solutions with good quality and speed to be used in real-time systems.
PL
W artykule zaprezentowano metodę ewolucyjną do automatycznego generowania morfologicznego filtru do określania brakujących danych w obrazach ludzi otrzymywanych on-line. Użyto programu Cartesian Genetic do optymalizacji algorytmu. Zastosowane rozwiązanie umożliwiało dostarczanie poprawę szybkości o dokładności przetwarzania obrazu.
EN
Tongue machine interface (TMI) is a tongue-operated assistive technology enabling people with severe disabilities to control their environments using their tongue motion. In many disorders such as amyotrophic lateral sclerosis or stroke, people can communicate with the external world in a limited degree. However, they may be disabled, while their mind is still intact. Various tongue–machine interface techniques has been developed to support these people by providing additional communication pathway. In this study, we aimed to develop a tongue–machine interface approach by investigating pattern of glossokinetic potential (GKP) signals using neural networks via simple right/left tongue touchings to the buccal walls for 1-D control and communication, named as GKP-based TMI. As can be known in the literature, the tongue is connected to the brain via hypoglossal cranial nerve. Therefore, it generally escapes from the severe damages, in spinal cord injuries and was slowly affected than limbs of persons suffering from many neuromuscular degenerative disorders. In this work, 8 male and 2 female naive healthy subjects, aged 22 to 34 years, participated. Multilayer neural network and probabilistic neural network were employed as classification algorithms with root-mean-square and power spectral density feature extraction operations. Then the greatest success rate achieved was 97.25%. This study may serve disabled people to control assistive devices in natural, unobtrusive, speedy and reliable manner. Moreover, it is expected that GKP-based TMI could be a collaboration channel for traditional electroencephalography (EEG)-based brain computer interfaces which have significant inadequacies arisen from the EEG signals.
EN
Blind students face significant barriers in their mathematical education. Despite currently available computer technologies they are not able to perform some simple operations, for instance, traditional columnar layout calculations, using a sheet of paper like their sighted peers. They have to use a traditional tool, namely, a cubarithm slate. In this paper a solution has been proposed to help blind students to learn and perform basic mathematical calculations with the help of a mobile device with touch screen. It is a Virtual Cubarithm application developed as a part of a larger research project called PlatMat. PlatMat is a special mobile platform supporting sighted teachers and their visually impaired students mathematical and physical education. Virtual cubarithm is a tool for learning traditional columnar layout calculations by visually impaired students. It is meant to replace traditional cubarithm slates, which are still in use.
PL
W artykule przedstawiono założenia wirtualizacji pisemnej techniki obliczeń arytmetycznych dostępnej dla uczniów z dysfunkcją wzroku z uwzględnieniem wymagań i zindywidualizowanych potrzeb odbiorców odnośnie interfejsu użytkownika. Aplikacja KUBARYTMY jest jednym z narzędzi składowych innowacyjnej platformy edukacyjnej PlatMat wspomagającej edukację matematyczną uczniów z dysfunkcją wzroku, opracowanej w ramach projektu badawczego przez Instytut Maszyn Matematycznych w Warszawie.
EN
The article presents the premises of the virtualization of written arithmetic calculations available to visually impaired pupils. The CUBARYTHMS application takes into account the requirements of the user interface tailored to the diverse needs of end users resulting from the type of possessed visual disability. It is one of the tools of innovative educational PlatMat platform. PlatMat supports math education of visually impaired pupils and is elaborated under a research project in the Institute of Mathematical Machines in Warsaw.
EN
Sonification is defined as presentation of information by means of non-speech audio. In assistive technologies for the blind, sonification is most often used in electronic travel aids (ETAs) – devices which aid in independent mobility through obstacle detection or help in orientation and navigation. The presented review contains an authored classification of various sonification schemes implemented in the most widely known ETAs. The review covers both those commercially available and those in various stages of research, according to the input used, level of signal processing algorithm used and sonification methods. Additionally, a sonification approach developed in the Naviton project is presented. The prototype utilizes stereovision scene reconstruction, obstacle and surface segmentation and spatial HRTF filtered audio with discrete musical sounds and was successfully tested in a pilot study with blind volunteers in a controlled environment, allowing to localize and navigate around obstacles.
EN
Brain-Computer Interface (BCI) allows for non-muscular communication with external world, which may be the only way of communication for patients in a locked-in state. This paper presents a complete software framework for BCI, a novel hardware solution for stimuli rendering in BCIs based on Steady State Visual Evoked Potentials (SSVEP), and a univariate algorithm for detection of SSVEP in the EEG time series. OpenBCI is a complete software framework for brain-computer interfaces. Owing to an open license and modular architecture, it allows for flexible implementations of different communication channels in the serial or parallel hybrid mode, minimization of costs and improvements of stability and efficiency. Complete software is freely available from http://openbci.pl. BCI Appliance is a hardware solution that allows for dynamic control of menus with stable generation of stimuli for the SSVEP paradigm. The novelty consists of a design, whereby the LCD screen is illuminated from behind using an array of LEDs. Design pioneers also proposed a new line of thought about the user-centered design of BCI systems: a simple box with one on/off button, minimum embedded software, wireless connections to domotic and EEG acquisition devices, and user-controlled mode switching in a hybrid BCI.
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