Agnieszka Szczęsna
Silesian University of Technology
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Featured researches published by Agnieszka Szczęsna.
ieee international conference on serious games and applications for health | 2011
Agnieszka Szczęsna; Jakub Grudziński; Tomasz Grudziński; Robert Mikuszewski; Adrian Dębowski
Computer games are more and more used for serious purposes not only for entertainment. In few last years we can observe very fast market development of serious games. They are used to education, simulation, research, health and therapy purposes. This paper describes the prototype of the game in psychology Mission — Master Your Fear. This game is a serious game based on a specialist scenario with some therapeutic goals. This game focuses on issues and problems of preschool children.
computer vision computer graphics collaboration techniques | 2007
Agnieszka Szczęsna
Nowadays, there are many applications that take advantage of the availability of three-dimensional (3D) data sets. These objects are represented as complex polygonal surfaces formed by hundreds of thousands of polygons, which causes a significant increase in the cost of storage, transmission and visualisation. Multiresolution modeling, which allows an object to be represented by set of approximations, each with a different number of polygons, has been successfully presented as a solution for the efficient manipulation of this type of objects. The main contribution of this work is the use of the complete lifting scheme for the multiresolution analysis of irregular meshes with proposition of new prediction block.
Archive | 2015
Marek Kulbacki; Roman Koteras; Agnieszka Szczęsna; Krzysztof Daniec; Robert Bieda; Janusz Słupik; Jakub Segen; Aleksander Nawrat; Andrzej Polanski; Konrad Wojciechowski
We present the concept and implementation of unobtrusive wearable network of sensors and distributed control system for integrated monitoring - acquisition, processing, analysis of human motion and other physiological modalities. The entire system, hardware and software are scalable and compliant with the Wireless Body Area Network model. The wearable system modules can work independently and continuously indoor and outdoor. Each of the tracking and controlled subjects is wearing a Body Acquisition System (BAS). BAS is a human acquisition system for monitoring human motion and multiple physiological signals. It is built into a wearable unobtrusive smart clothing and enables to create wireless sensor network using WIFI for external communication, local hub for local data acquisition, processing and transfer. The central hub for global data processing and data exchange has been developed as Cloud Based Human Multimodal Database (CBHMD). A software application, Multimodal Data Environment (MMDE) has been built to visualize and control the acquisition and monitoring process. MMDE allows domain experts such as physicians, physiotherapists, film producers, to work with connected BASs control and react in real time. MMDE enables remote communication, data acquisition directly from BASs, diagnostics, management and maintenance of medical devices in BASs, as well as data processing using customized processes and algorithms.
international conference on computer vision | 2012
Agnieszka Szczęsna; Janusz Słupik; Mateusz Janiak
The representation and the thorough understanding of human motion is a crucial and challenging problem which has been raised in many scientific areas. This paper considers approaches in performing motion analysis with multi-resolution techniques based on rotations of joints over the time written in the form of a quaternion signal. The second generation wavelet transform constructed by the lifting scheme for the quaternion rotation representation can be used. Quaternions in terms of motion analysis are a more efficient representation of rotation than Euler angles. This paper presents the new quaternion lifting scheme building blocks for the smooth second degree transform based on the spherical cubic quaternion interpolation method (SQUAD). Also the possible applications of result multi-resolution representation as feature detection and compression are described.
ITIB'12 Proceedings of the Third international conference on Information Technologies in Biomedicine | 2012
Agnieszka Szczęsna; Marta Tomaszek; Aleksandra Wieteska
The interest in developing serious games for general medical applications has grown exponentially in recent years. The use of serious games in psychological support and psychotherapy is made possible by the transfer of the traditionally recognized purpose and techniques of therapy behavioral-cognitive in the virtual world. In this paper the main guidelines of designing psychology serious game based on cognitive-behaviour techniques are presented. The methodology contains consideration in setting goals in informal learning process using to behaviour change and description of game influence. The result scenarios of game for pre-school children and adolescents are described.
ICMMI | 2016
Agnieszka Szczęsna; Przemysław Pruszowski; Janusz Słupik; Damian Pęszor; Andrzej Polanski
The need for broadly defined measures of human motion and estimation of motion parameters occurs in many research disciplines. The article concerns the evaluation of improvement in basic orientation estimation methods for IMU sensors, throughout the use of rigid body (segment in skeleton model) constraints. The verified method utilizes the correlation between rational motions and linear accelerations in the body model and reduces the impact of the external acceleration on the estimation of orientation. The experimental study concerns comparison of this method to other methods of leveling the influence of linear external acceleration.
international conference on computer vision and graphics | 2014
Janusz Słupik; Agnieszka Szczęsna; Andrzej Polanski
The costume for acquisition of motion is example on MOCAP system based on IMU sensors using fusion of their measurements (like inertial, gyroscopic and magnetic measurements) for estimating motion parameters. In this paper a new simple and efficient fusion algorithm Lightweight Quaternion Filter is developed and implemented for estimation orientation in three dimensions. The result of estimations are compared to implemented Extended Quaternion Kalman Filter algorithm.
SpringerPlus | 2016
Agnieszka Szczęsna; Przemysław Pruszowski
Abstract Inertial orientation tracking is still an area of active research, especially in the context of out-door, real-time, human motion capture. Existing systems either propose loosely coupled tracking approaches where each segment is considered independently, taking the resulting drawbacks into account, or tightly coupled solutions that are limited to a fixed chain with few segments. Such solutions have no flexibility to change the skeleton structure, are dedicated to a specific set of joints, and have high computational complexity. This paper describes the proposal of a new model-based extended quaternion Kalman filter that allows for estimation of orientation based on outputs from the inertial measurements unit sensors. The filter considers interdependencies resulting from the construction of the kinematic chain so that the orientation estimation is more accurate. The proposed solution is a universal filter that does not predetermine the degree of freedom at the connections between segments of the model. To validation the motion of 3-segments single link pendulum captured by optical motion capture system is used. The next step in the research will be to use this method for inertial motion capture with a human skeleton model.
asian conference on intelligent information and database systems | 2014
Mateusz Janiak; Agnieszka Szczęsna; Janusz Słupik
Motion analysis is rapidly developing area of research. Due to availability of cheaper hardware with reasonable accuracy for motion acquisition in form of various motion controllers, dedicated mainly for gaming, there are rising new research groups interested in this topic. Proposed solutions for motion analysis have a wide range of application in medicine, sport, entertainment and security. Although motion analysis is one of the most important domains of our everyday life, there are still no good tools supporting knowledge exchange and experiments in this field. In this paper we want to introduce a possibility of implementing specialised wavelet analysis in form of the lifting scheme for motion data in quaternion representation in a data flow processing framework available in Motion Data Editor (MDE) software developed at Polish-Japanese Institute of Information Technology (PJWSTK) in Bytom (Poland). We want to show how easily custom solutions can be introduced to this general purpose data processing software. Usage of this software saves time by concentrating on rapid prototyping of new algorithms and performing experiments, skipping creation of similar solutions for various data types and algorithms.
PLOS ONE | 2017
Andrzej Polanski; Agnieszka Szczęsna; Mateusz Garbulowski; Marek Kimmel
We present new results concerning probability distributions of times in the coalescence tree and expected allele frequencies for coalescent with large sample size. The obtained results are based on computational methodologies, which involve combining coalescence time scale changes with techniques of integral transformations and using analytical formulae for infinite products. We show applications of the proposed methodologies for computing probability distributions of times in the coalescence tree and their limits, for evaluation of accuracy of approximate expressions for times in the coalescence tree and expected allele frequencies, and for analysis of large human mitochondrial DNA dataset.