- EEG and Brain-Computer Interfaces
- Virtual Reality Applications and Impacts
- Context-Aware Activity Recognition Systems
- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Human Pose and Action Recognition
- Business Process Modeling and Analysis
- Stroke Rehabilitation and Recovery
- Diabetic Foot Ulcer Assessment and Management
- Infrared Thermography in Medicine
- Neurological disorders and treatments
- Electronic Health Records Systems
- Hand Gesture Recognition Systems
- Blind Source Separation Techniques
- Semantic Web and Ontologies
- Multi-Agent Systems and Negotiation
- Lower Extremity Biomechanics and Pathologies
- Education, Psychology, and Social Research
- Image Enhancement Techniques
- Spatial Cognition and Navigation
- Video Surveillance and Tracking Methods
- Telemedicine and Telehealth Implementation
- Neural Networks and Applications
- Genomics and Rare Diseases
- Advanced Vision and Imaging
Czech Technical University in Prague
2013-2024
Institute of Informatics of the Slovak Academy of Sciences
2019
Pupil responses are known to indicate brain processes involved in perception, attention and decision-making. They can provide an accessible biomarker of human memory performance cognitive states general. Here we investigated changes the pupil size during encoding recall word lists. Consistent patterns response were found across within distinct phases free task. The was most constricted initial fixation phase gradually more dilated through subsequent encoding, distractor task, as items...
In this paper, we follow up on research dealing with motion learning in Virtual Reality (VR). We investigate the impact of VR performance, motivation for and willingness to continue learning. our research, used three ball juggling as a subject performed user study 30 participants. A application was which allows setting lower gravity thus slowing down purposes. The results were statistically evaluated comment positive influence virtual reality possibilities using process.
Abstract Data comprise intracranial EEG (iEEG) brain activity represented by stereo (sEEG) signals, recorded from over 100 electrode channels implanted in any one patient across various regions. The iEEG signals were epilepsy patients (N = 10) undergoing invasive monitoring and localization of seizures when they performing a battery four memory tasks lasting approx. 1 hour total. Gaze tracking on the task computer screen with estimating pupil size was also together behavioral performance....
In recent years, several systems have been developed to capture human motion in real-time using common RGB cameras. This approach has great potential become widespread among the general public as it allows remote evaluation of exercise at no additional cost. The concept these rehabilitation home environment discussed, but work addressed practical problem detecting basic body parts under different sensing conditions on a large scale. this study, we evaluate ability OpenPose pose estimation...
The quality of life the elderly is becoming more and important. Prevention early evaluation falls in people a very important issue. Achieving best comfort can be possible by contactless methods. paper describes machine learning approach to fall detection based on body posture classification using 8x8 pixel image acquired Grid-EYE array temperature sensor. State-of-the-art computer vision tool - deep neural network used. result achieved if into three or five classes assumed. Even with such...
This paper presents an analysis of selected social networking portals for science, research and innovation as the first step in development a portal network IT professionals Czech Republic. First, actual implementations four dedicated to scientific communities researchers are analyzed, compared from perspective provided functions, layout their interdependence main features summarized. Then, most important recommendations being developed presented. The last part introduces two concepts...
Verbal memory impairment is a common symptom of temporal lobe epilepsy (TLE). The ability to encode and recall verbal memories can be probed with the classic free task. We hypothesized that increased seizure frequency will lead decreased memory. investigated this hypothesis in patients receiving chronic stimulation bilateral anterior nuclei thalamus (ANT) deep brain (DBS). Recordings were obtained from individuals drug resistant mesial TLE implanted an investigational Medtronic Summit RC+S™...
In this paper, we follow up on research dealing with body tracking and motor rehabilitation. We describe the current situation in telerehabilitation home environment. Existing solutions do not allow wide adoption due to hardware requirements complicated setup. come possibility of using only laptop or mobile web camera. Together physiotherapists, have compiled a set complex exercises show that system can be practically used.
Home exercises are significant in the rehabilitation process of physiotherapy patients, which lack immediate feedback as to proper movement and therefore might humper patient treatment. In this paper we proposing an algorithm for fast tracking human body movements performed during physiotherapeutic using a simple webcam home setup common domestically available CPU computing resources. We use OpenPose detecting vertices key frames novel vertex between video frames, leverages encoded Motion...
The posture of body segments can be negatively influenced by many diseases the nervous, visual and musculoskeletal systems. This article outlines a newly designed system related procedures to record evaluate anatomical angles. is equipped with two mutually calibrated cameras allowing evaluation movement in planes. hardware part camera calibration method was for practical use clinical practice. Moreover, proposed allows recording motion data home environment or at safe distance. It enables...
Our previous study was aimed at the classification of right index finger movement direction by means movement-related EEG signal. The database we used originally recorded for a physiological research; from our point view it has one significant drawback: there is no continuous non-movement related (resting) sufficient length (>10 sec) in database. To overcome this limitation decided to generate artificial resting This article describes method and process signal generation along with reached...
The aim of this work is to assess the minimal technical requirements for using a simple RGB camera motion sensing in standard home environment. We experimentally verify recording subsequent analysis. Our contributes development physical telerehabilitation without need use special HW and thus enable general public, which especially important during COVID-19 lockdown. have found out that such system can surprisingly well even with low-cost poor conditions slow 3G internet connection.
Abstract In this paper, we present OffiStretch, a camera-based system for optimal stretching guidance at home or in the workplace. It consists of vision-based method real-time assessment user’s body pose to provide visual feedback as interactive during exercises. Our compares users’ actual with pre-trained target assess quality number different We utilize angular and spatial features perform comparison each individual exercise. The result is presented user on an "augmented mirror" display....
The paper presents briefly our educational activities in the area of assistive technologies. We have developed a special course on technologies that uses practical part project-based approach. established specialized facility where students can work their projects. simulates real environment smart home and hospital room. select topic for project from proposals or they come with own ideas. In we present results several student projects be future used as applications people needs. Some them...
The objective of this study is to evaluate the performance functional tests using a camera-based system and machine learning techniques. Specifically, we investigate whether OpenPose any standard camera can be used assess quality Single Leg Squat Test Step Down tests. We recorded these exercises performed by forty-six healthy subjects, extract motion data, classify them expert assessments three independent physiotherapists 15 binary parameters. calculated ranges movement in Keypoint-pair...
Virtual reality (VR) has been on the scene for several decades already. Its first applications were in gaming. However, hardware and software expensive thus not everybody. Since that time, development of technology proceeded fast enabled to open new application areas VR. Currently many commercial systems are available gaming, training education, simulations, design, also medical purposes. In article we focus VR healthcare. First present existing solutions, research studies showing potential...
The rapid emergence and proliferation of connected medical devices their application in healthcare are already part the Healthcare Internet Things (IoT) – as this area started to be named. Their true impact on patient care other aspects remains seen is highly dependent quality relevancy data acquired. There also trend IoT telemedicine home environment. Currently many research groups focus design development various solutions that can assist elderly handicapped people However, these...