Building an electronic travel aid (ETA) is a difficult interdisciplinary challenge. In this work we demonstrate how to build a simple model of 3D scenes for the purpose of presenting the environment nonvisually to the visually impaired.

Human–System Interaction (HSI) is currently actively pursued as a separate research field dedicated to the development of new technologies facilitating human communication with systems. Depending on the application, such interaction systems are also referred to as Human–Computer Interfaces (HCI) or more generally human–machine interfaces. The purpose of the research is to develop a hands-free head-gesture controlled interface that can support persons with disabilities to communicate with other people and devices, e.g. the paralyzed to signal messages or the visually impaired to handle electronic travel aids.

Cardiovascular diseases are the leading cause of death worldwide. Their prevention and treatment require accurate, noninvasive and personalized diagnostic techniques. At present, the leading technique is magnetic resonance (MR) tomography. It allows acquisition of three-dimensional images of blood filling the vessels and tissues, without use of contrast agents or X-ray radiation.

The visually impaired indicate limited mobility as one of the main problems affecting almost all activities of daily living. In this work we demonstrate how the technique of interactive sonifcation can be applied in a simple travel aid for the blind. We use the so-called depth images and their histograms termed "U-depth" which are simpler for auditory representation of the environment to the blind user.

Nowadays, a healthy, active lifestyle is more and more important to us. Many people use sports watches or fitness bands to plan their workouts. This type of devices usually collect data such as number of steps and heart rate. In the case of heart rate signal the accuracy of the data recorded from optical sensors is of key importance. Conducted research include development of methods for preprocessing and analysis of heart rate signal recorded using of non-invasive techniques, as well as for the determination of time-frequency parameters. Another aspect concerns development of methods for visualization of patterns occurring in time series in relation to heart rate variability, which may carry important information about the patient's health.

Medical images recognition involves consideration of multiple factors responsible for their formation. This knowledge is required because image brightness and contrast depend on both a diagnosed organ state, imaging parameters, as well as interaction between tissue and external signals, such as e.g. RF excitation signal. Moreover, in the case of dynamic imaging sequences, such as perfusion imaging, it is the signal temporal variation which is evaluated. This variation depends on clinically important parameters describing the course of biophysical processes at the tissue, organ and the body scale.

Voice is the basic interpersonal communication modality and is of particular importance in such professions as teacher, journalist or conference center employee. Early diagnosis of occupational voice disorders is becoming one of the health priorities. Current international standards emphasize the need for comprehensive voice assessment in phoniatric examinations. In recent years, techniques for recording laryngoscopic images have been developed, including the sequence of images of vocal folds vibrations. Effective methods of computer analysis of such images are being developed. These techniques contribute to the objectification of phoniatric diagnostics.

Trivializing, man is what he eats and drinks. Diet has a direct impact on our well-being, physical fitness, health and quality of life. This fact is an obvious motivation to carry out the work on the analysis of food quality. In our case, we offer means of such the analysis using computer vision and image processing methods.

Image texture is a rich source of information about the objects visible in the image. This applies especially to biomedical images. Image texture visualized by means of various medical imaging modalities represents the properties of organs and tissues. Texture parameters reflect the physiological properties of such structures. This enables segmentation of organs, detection of lesions and an assessment of pathological changes degree. The significance of texture analysis for aided imaging diagnostics has been demonstrated for all kinds of imaging modalities, including computed tomography (CT), Magnetic Resonance Imaging (MRI), ultrasound (USG) and optical imaging.

Worldwide, there are 314 million of visually impaired and 45 million of them are blind. According to EU reports for every 1000 Europeans 4 are blind or visually impaired. Vision loss is the most serious sensory disability that causes approx. 90% depravation of entire multi sense perception for a human. In spite of a long lasting research efforts independent mobility and orientation aids for the blind still await for a ground-breaking technology that would effectively support visually impaired. No single solution of electronic travel aids has gained a wider acceptance within the blind community. The white cane (with no mounted electronics) still remains the primary travel aid for the blind [1].