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As the need for sensors increases with the inception of virtual reality, augmented reality and mixed reality, the purpose of this paper is to evaluate the suitability of the two Kinect devices and the Leap Motion Controller. When evaluating the suitability, the authors' focus was on the state of the art, device comparison, accuracy, precision, existing gesture recognition algorithms and on the price of the devices. The aim of this study is to give an insight whether these devices could substitute more expensive sensors in the industry or on the market. While in general the answer is yes, it is not as easy as it seems: There are significant differences between the devices, even between the two Kinects, such as different measurement ranges, error distributions on each axis and changing depth precision relative to distance.

Today, more and more children with Autism Spectrum disorder are diagnosed, which means that around 1% of the population is concerned. Most of the concerned can acquire daily routine tasks by a bit of help and can fit in the society. As Besio et al. said, "…play is an instinctive need for both humans….In children with disabilities, depending on the type of functional limitations, the spontaneity of play is lost and the activity becomes problematic. Children with cognitive and intellectual impairments have a difficulties in communication, social interactions,….Since play is also a window for children's cognitive development, children may be perceived as more developmentally delayed than they actually are, leading to reduce expectations on the part of adults." The aim of the authors was to create an Android based application which helps 6-9 year old children living with Autism Spectrum disorder to learn everyday tasks and acquire everyday routine.

Using basic mathematical operations is not easy for everyone. The AndMaths game for Android devices was developed to help elementary school students to learn these basic mathematical skills in the number ranges of twenties, fifties, hundreds and thousands. The user can freely select the number ranges.

Logic is part of our everyday life. However, there are some cases where people have difficulties using deductive reasoning. The aim of this work is to help people with mild intellectual disability or learning disability to learn the basis of logical thinking. We developed an application on Android operating system to improve logical thinking.

Nowadays the development of virtual reality-based application is one of the most dynamically growing areas. These applications have a wide user base, more and more devices which are providing several kinds of user interactions and are available on the market. In the applications where the not-handheld devices are not necessary, the potential is that these can be used in educational, entertainment and rehabilitation applications. The purpose of this paper is to examine the precision and the efficiency of the not-handheld devices with user interaction in the virtual reality-based applications. The first task of the developed application is to support the rehabilitation process of stroke patients in their homes. A newly developed application will be introduced in this paper, which uses the two popular devices, the Shimmer sensor and the Microsoft Kinect sensor. To identify and to validate the actions of the user these sensors are working together in parallel mode. For the problem solving, the application is available to record an educational pattern, and then the software compares this pattern to the action of the user. The goal of the current research is to examine the extent of the difference in the recognition of the gestures, how precisely the two sensors are identifying the predefined actions. This could affect the rehabilitation process of the stroke patients and influence the efficiency of the rehabilitation. This application was developed in C# programming language and uses the original Shimmer connecting application as a base. During the working of this application it is possible to teach five-five different movements with the use of the Shimmer and the Microsoft Kinect sensors. The application can recognize these actions at any later time. This application uses a file-based database and the runtime memory of the application to store the saved data in order to reach the actions easier. The conclusion is that much more precise data were collected from the Microsoft Kinect sensor than the Shimmer sensors.

The topic of this article and work was to create an application for movement therapy, which can help the rehabilitation of stroke patients. The application makes it possible to make unique exercises for different patients, adapting to the special personal needs. The developed real time gesture analyzing algorithm works in the background of the application, which has not yet spread on the field of medical devices. I deal with one part of this wide field in my dissertation, with the rehabilitation gesture analyzing. The data received from the Kinect sensor is processed by a location based gesture analyzing algorithm, and the results show that the software is suitable for the improvement of the rehabilitation process. It was a key aspect to create a simple interface. I achieved this with the use of the C# language and WPF technology.

A mixture of three peptides was separated by capillary electrochromatography (CEC), nano-HPLC and voltage-assisted LC. In the latter case the charged analytes migrate through a neutral stationary phase driven by electrophoresis while their interaction with the stationary phase provides the basis for a chromatographic separation. The stationary phases used were poly(glycidyl methacrylate-co-ethylene dimethacrylate)-based monoliths that could be used directly as neutral "C1"-type columns for voltage-assisted LC and nano-HPLC, while their application in CEC became possible after derivatization of the epoxy groups with ionogenic N-ethylbutylamine functions. The separation of the peptide mixture was possible in all three modes. Highest plate numbers and resolutions were obtained under voltage-assisted conditions. The elution order showed dependencies on the charge density but also on the hydrophobicity of the peptides and was different in the three investigated chromatographic modes. The effect of changes in the ionic strength and the organic solvent content of the mobile phase on the resolution and the migration behavior of the peptides was investigated and showed the expected behavior. Voltage-assisted LC is suggested as an alternative to CEC for the separation of charged analytes by electrochromatography.