People
Ing. Stanislav Kušmírek, Ph.D.

Ing. Karel Hylmar; Ing. Daniel Urban; Ing. Ondřej Vítovec

V současné době Ústav letecké dopravy Fakulty dopravní ČVUT v Praze je garantem akreditovaného, vysoce technického studijního programu Technologie údržby letadel, který si v rámci kvalitní výuky vyžaduje hardwarové zabezpečení laboratoří. Pro cvičení a praktickou výuku právě v daném studijním programu či v oblasti zkoumání elektrických UAV pohonných jednotek má pracoviště k dispozici jeden měřící dynamometr, schopný měřit výkonové charakteristiky pohonných jednotek bezpilotních letových prostředků s omezením tahu do 5 kgf. Vzorkovací frekvence záznamu daného zařízení je 10 Hz, což zdaleka nedostačuje pro frekvenční analýzy pohonných jednotek jak větších letadel, tak právě i menších pohonných jednotek UAV. Největším přínosem vytvoření nového zařízení pro měření výkonových charakteristik nejen u UAV pohonných jednotek není jen ve významném rozšíření možností sběru dat a zvýšení kvality publikací výsledků vědecko-výzkumných prací v oblasti konstrukce EDF motorů a studia tvorby námrazy, ale zejména v možnosti použití klíčového elektrického USB oscilátoru pro tvorbu dalších zařízení s využitím pro praktickou zkušenost studentů.

2023 - 2023

The "PPSR" internal calls

Ing. Timotej Gavura; Ing. Michaela Kalivodová; Ing. Stanislav Kušmírek, Ph.D.; doc. Ing. Luboš Socha, Ph.D. et Ph.D.

Flight illusions are generally defined as the discrepancy between reality and pilot's brain evaluation. The presented project deals with the study of the effect of vestibular illusions, specifically Coriolis and somatogyral illusion on nystagmus in two groups of pilots divided according to the level of experience. These are students in pilot training and active pilots. Experimental measurements will take place within two flight profiles, where one will be with illusions and one without. During these profiles, flight data and electronystagmography data will be collected and then compared. The data from the simulator will also be compared with a reference measurement on a turning chair and it will be determined whether there is a connection between them. The whole concept will therefore be based on evidence that will provide detailed information about the pilot's behavior as a result of succumbing to illusions. This may have the effect of increasing air safety and increasing the theoretical knowledge base on the issue.

2022 - 2023

Studentská grantová soutěž ČVUT - SGS22/127/OHK2/2T/16

Ing. Lenka Hanáková, Ph.D.; Bc. Vojtěch Kráčmar; Ing. Stanislav Kušmírek, Ph.D.; doc. Ing. Bc. Vladimír Socha, Ph.D.

The presented project concept is focused on the design of a device enabling the collection and provision of data during flight, i.e. an autonomous flight recorder enabling wireless data transmission. Taking into account the current promise of the European Aviation Safety Agency to introduce competency-based training, the use of flight data and their evaluation to increase training effectiveness is expected. Currently, such data can only be obtained from the Electronic Flight Information System (EFIS). However, there are several limitations to this system, notably that not all aircraft are equipped with this system. Other limitations include insufficient sampling rate of recorded data and uncomfortable data transfer to a target device equipped with software for flight data analysis. Thus, it is evident that such device that would be available provides quality data and allows easy and preferably wireless data transfer to the terminal device is absent on the market. For these reasons, the effort will be to create a device that will meet these requirements. Data will probably be collected from multiple sources. The accelerometer and gyroscope will be used as key-stones in the device. Another option that will be subject to evaluation is to retrieve data from an aircraft transponder. Acquired data will be processed in real time and further provided by wireless technology for further use - mainly for applications in mobile phones or tablets. The data obtained from the designed device will be further compared with data from EFIS (currently Garmin G1000 version).

2020 - 2021

Studentská grantová soutěž ČVUT - SGS20/143/OHK2/2T/16

Ing. Kateřina Grötschelová; Ing. Natalia Guskova; Ing. Lenka Hanáková, Ph.D.; Ing. Tomáš Havel; doc. Ing. Bc. Vladimír Socha, Ph.D.

A broad portfolio of available and affordable unmanned aerial vehicles (UAV), their diversity of construction, the level of autonomy and integration of the auto-pilot systems has forced the European Union to modify present drone categorization legislation. New regulation is besides the weight of the UAV now considering also other performance characteristics such as maximum velocity in horizontal flight or maximum height above the launch point. Based on these four specifications is an UAV (drone) assorted into one of the 4 categories. The methodology of testing as well as the testing equipment will greatly influence the accuracy of the proper classification of the product and will affect the pricing. The above will be applicable particularly for the drones of C0 and C1 category with maximum take of weight of 250 g for C0, ev. 900 g for C1. The goal of this project is to propose the affordable methodology of the exact and dynamic testing of the above-mentioned characteristics used for the drone's categorization, in particular the maximum flight height and maximum horizontal speed. The primary focus will be on the Quadro-copters whilst the whole presented project has the ambition to define further flight characteristics that might influence the safety of utilization of unmanned aerial vehicles and their categorization within the valid EU legislation. The outcome of the project will be the creation of the comprehensive methodology of the Quadro-copter testing together with the proposal of the software solution and methodology of the drone categorization in accordance to the selected flight characteristics.

2020 - 2020

Studentská grantová soutěž ČVUT - SGS20/083/OHK2/1T/16

Ing. Lenka Hanáková, Ph.D.; Ing. Michaela Kalivodová; Ing. Stanislav Kušmírek, Ph.D.; doc. Ing. Andrej Lališ, Ph.D.; Ing. Tomáš Malich; doc. Ing. Bc. Vladimír Socha, Ph.D.; doc. Ing. Peter Vittek, Ph.D.

The use of augmented reality in aviation is a result of a constant effort of increasing aviation safety. The idea of augmented reality is commonly used in form of a Head-Up Display or is in testing as a Head-Worn Display (HWD) technology. HWD is a display unit attached directly to the user which implies that its most commonly in form of a helmet or glasses, specifically smart glasses. The projection of augmented reality into a visual field of a user in aviation department is undoubtedly a step forward, but the limitation of these imaging systems is the absence of an analysis of ergonomics of the display of selected data in the field of view. Presented project is focused on removing the above mentioned limitations and designing a concept layout of flight and navigation data from the primary flight display, in terms of both graphical and spatial, respecting the perceptual possibilities of the visible field of the user. The aim is to develop augmented reality software design and to verify HWD application. The software will be implemented in open-source smart glasses, and the way the flight and navigation data will be displayed will be designed with a view to maximize the usability of the presented data.

2019 - 2020

Studentská grantová soutěž ČVUT - SGS19/133/OHK2/2T/16

Ing. Michal Freigang; Ing. Lenka Hanáková, Ph.D.; doc. Ing. Jakub Kraus, Ph.D.; Ing. Stanislav Kušmírek, Ph.D.; Ing. Roman Matyáš, Ph.D.; Bc. Jakub Ptáček; doc. Ing. Bc. Vladimír Socha, Ph.D.; Ing. Sarah Van Den Bergh; Ing. Lukáš Zibner

The presented project deals with real-time assessment of psychophysiological status of pilots. This could help to quickly identification of the workload impact on pilot during the flight. Due to the fact, that pilots are influenced by various stimuli (ambient, G-Forces, mental state etc.) during flight that can negatively affect the safety of the flight. There are already many scientific studies that deal with the psychophysiological assessment of pilots, but the measured physiological parameters are evaluated mostly after the measurement of the entire flight section. There are also studies in which the signal is evaluated in real time, but outside of the aviation field. In these studies, the most frequently used parameter for evaluating of psychophysiological status of respective subjects is heart rate or heart rate variability respectively, due to its distinctive ability to portray the effect of stimuli on the mental and physical state of the subject. Based on the above mentioned, the essence of the project is to assess the suitability and applicability of existing real-time biological signal processing methods. The aim of the project is, among other things, to use existing knowledge on which base the software solution to process measured physiological parameters (primarily heart rate) in real time will be designed. The measurement will be carried out on an air simulator at the Department of Air Transport of the Czech Technical University in Prague.

2019 - 2020

Studentská grantová soutěž ČVUT - SGS19/131/OHK2/2T/16

Ing. Michaela Kalivodová; Bc. Vojtěch Kráčmar; Ing. Stanislav Kušmírek, Ph.D.; Ing. Tomáš Malich; doc. Ing. Bc. Vladimír Socha, Ph.D.; doc. Ing. Stanislav Szabo, Ph.D., MBA, dr. h. c.; Ing. Sarah Van Den Bergh

The proposed project concept focuses on studying the effect of fatigue on pilots' performance. The current state of fatigue tracking in aviation is based in particular on the collection of subjective data right after finishing the flight, i.e. in particular through questionnaire surveys. There are experimental attempts to quantify fatigue through physiological measurements, i.e. monitoring the psychophysiological condition of pilot. However, regarding these attempts, everything is still in the experimental point of view and the measurements are focused only on shorter experiments. For this reason, the present project introduces the concept of 24-hour measurements to create a variable fatigue level with respect to the subject's alertness and day time. During the experiment, there are simulated flights in which biosignals are measured with a primary focus on the brain and heart activity of the subject, and flight data are collected. In the time span between particular flights, battery performance and psychological tests are performed. The project therefore has the ambition to unify the standard methods used and to extend it to those experimentally used, either in the level of data collection or their evaluation, thus creating a complex experiment to study the influence of fatigue on pilots' performance. Such a study could contribute to efforts to objectify and determine the critical level of fatigue. This study could serve as a foundation for efforts to improve air transport safety.

2019 - 2020

Studentská grantová soutěž ČVUT - SGS19/124/OHK2/2T/16

Ing. Lenka Hanáková, Ph.D.; Ing. Jan Hejda, Ph.D.; Ing. Stanislav Kušmírek, Ph.D.; doc. Ing. Bc. Vladimír Socha, Ph.D.; Ing. Klára Vlčková; Ing. Petr Volf, Ph.D.; Ing. David Škoda

Quantitative methods for evaluation of kinematic motion data of body segments are an essential tool in the study of biomechanics of the musculoskeletal system, its structure and behavior. Many methods have been proposed for evaluation of kinematic parameters, including original methods proposed at FBME CTU in cooperation with the 1st FoM, 2nd FoM and FoM in Hradec Kralove. These methods are currently being tested and introduced into clinical practice. Primarily, however, these methods are used to assess postural stability while standing and walking, but are not modified and sufficiently tested for the evaluation of the combined and acyclic movements of body segments. The project is focused on the development and optimization of methods for the quantitative assessment of kinematic data combined and acyclic movements of body segments, in accordance with the requirements of the university hospitals and Faculty of Science. We suppose the use of MoCap systems for measuring kinematic parameters of movement of body segments, in accordance with current requirements of practice and research of nervous system. Methods of quantitative evaluation of kinematic parameters will be based on evaluation of data in time domain, frequency domain and diagrams of interdependences of measured quantities of the combined and acyclic movements of body segments of patients, healthy subjects and animals. The anticipated outcome of the work of master students and PhD students are optimized, developed and tested methods of quantitative evaluation of kinematic data of the combined and acyclic movements of body segments. Scientific results obtained during the testing of the methods will be presented in international journals, in cooperation with associated research groups involved in the measurement and evaluation of the parameters of movement. This will be the General University Hospital, Motol University Hospital, Joint Department FBME CTU and 1st Faculty of Medicine CU and Faculty of Science of

Department of Natural Sciences

2016 - 2016

Studentská grantová soutěž ČVUT - SGS16/109/OHK4/1T/17

Ing. Jan Hejda, Ph.D.; doc. Ing. Karel Hána, Ph.D.; doc. Ing. Patrik Kutílek, MSc., Ph.D.; Ing. Stanislav Kušmírek, Ph.D.; Ing. Marek Regula; doc. Ing. Pavel Smrčka, Ph.D.

Estimated project aims to optimize the methods and tools for evaluating the rehabilitation process in patients with locomotor disorders with main respect to monitoring the change in position of the head, shoulders and torso area. Nowadays there are numerous methods used for evaluating and analyzing the movement and standing. However, most of these methods are not yet well established in clinical practice. The aim of this project would be to find and optimize those methods that provide sufficient data about patients classified in the rehabilitation process, whether in a positive or negative progression of their condition due to the particular medical history. Assumption is that the tracking of the head, shoulders and torso will be adequate for the tracking and identification of locomotor disorders compared to the current used methodologies. The project includes a comparison of two systems for monitoring human locomotion and design of software for the rehabilitation applications. Measurements will be performed in joint department of FBMI and 1st Faculty of Medicine, University Hospital Motol and private rehabilitation clinic Soreha, Ltd. in Moldava nad Bodvou.

Joint Centre for Biomedical Engineering of CTU and UC

2014 - 2015

Studentská grantová soutěž ČVUT - SGS14/170/OHK4/2T/17