Non-invasive surface registration methods have been developed to register and track breathing motions in a patient’s abdomen and thorax. We evaluated several different registration methods, including marker tracking using a stereo camera, chessboard image projection, and abdominal point clouds. Our point cloud approach was based on a time-of-flight (ToF) sensor that tracked the abdominal surface. We tested different respiratory phases using additional markers as landmarks for the extension of the non-rigid Iterative Closest Point (ICP) algorithm to improve the matching of irregular meshes. Four variants for retrieving the correspondence data were implemented and compared. Our evaluation involved 9 healthy individuals (3 females and 6 males) with point clouds captured in opposite breathing phases (i.e., inhalation and exhalation). We measured three factors: surface distance, correspondence distance, and marker error. To evaluate different methods for computing the correspondence measurements, we defined the number of correspondences for every target point and the average correspondence assignment error of the points nearest the markers.

Nowadays, the math learning is an important step in developing professional carriers in technical and economic sciences. Increasing the number of e-learning tools used in universities courses can reduce the potential barrier of access to mathematical knowledge, but most of them are not accessible for impaired students. Moreover, classical printed math books include little explicit instructional information about structural information interpretations. Taking into account these barriers the article presents the developed method used for creating interactive steps of decomposed math's exercise solution and alternative description of math formulas accessible for the blind. The elements of proposed methodology: generation of state machine, design and presentation of transition conditions, generating the presentation layer and a typical usage by a blind user are presented. A set of rules for describing mathematical formulas were proposed after consultation with mathematicians and teachers of blind people. The application was developed as web application. The graphical interface of presented application was designed using PHP and JavaScript technologies. The collection of prepared exercises include about 240 prepared exercises from different areas of mathematics Multimed Tools Appl (2018) and 60 selected exercises including alternative description layer. About 1000 students and about 40 impaired students, from 6 faculties of the university use this platform during math courses for both self and class learning. The defined rules were used to read aloud mathematical formulas to the visually impaired people with a different level of mathematical knowledge. The results confirmed good understanding of mathematical formulas by using prepared alternative description.

BackgroundDiagnosing and treating anorexia nervosa is an important challenge for modern psychiatry. Taking into account a connection between the mental state of a person and the characteristics of their language, this paper presents developed and tested method for analyzing the written statements of patients with anorexia nervosa and healthy individuals, including the identification of keywords.MethodsDue to the short nature of the texts, which is related to the difficulty of expressing oneself about one’s body when suffering from anorexia, the bag of words approach was used for documents’ information representation. The document is represented as a vector, where its various elements indicate the number of individual words. Then, a rule-based model was created, where as a collection of rules, dictionary files were used corresponding to three groups of positive, negative and neutral sounds for each subcategory. Next in the analyzed texts were searched and counted keywords. Based on the keywords found, each of the documents was categorized into one of the groups in every subcategory.ResultsIt is possible to indicate a set of characteristics sentiment for every person. Additionally, the results of specific patient could be analyzed in six specific subcategories: self-esteem, acceptance of the assessment of the environment, emotions, autoimmune, functioning of the body and body image.ConclusionsThe described analysis indicates the existence of a relationship between the mental state of the author’s textual health and the vocabulary he or she uses. It is possible to indicate a set of characteristic sentiment terms specific to a given group of people. Their presence is related to the author’s mental state and their body image. It could help focus on specific topics during therapy.