Publikacje

1. 3D Gait Recognition Using Spatio-Temporal Motion Descriptors
2. 4GAIT_ Synchronized MoCap, Video, GRF and EMG datasets_ acquisition, management and applications
3. A System for Analysis of Tremor in Patients with Parkinsons Disease Based on Motion Capture Technique
4. Analiza drżenia na podstawie danych kinematycznych, u Pacjentów z chorobą Parkinsona leczonych metodą STN-DBS
5. Applying Data Mining and Machine Learning Algorithms to predict symptoms development in PD
6. Automatic markers influence calculation for facial animation based on performance capture
7. Automatic Selection Of Feature Points For Video-Based Facial Animation
8. Camera calibration and navigation in networks of rotating cameras
9. Collaborative Tool for Annotation of Synovitis and Assessment in Ultrasound Images
10. Component Weight Tuning of SSIM Image Quality Assessment Measure
11. Data Flow Processing Framework For Multimodal Data Environment Software
12. Design and Implementation of Mobile Ground Base Station for UGV
13. Diagnosis of the motion pathologies based on a reduced kinematical data of a gait
14. Estimation of marker placement based on fiducial points for automatic facial animation
15. Estimation of marker placement on scanned model based on fiducial points for automatic facial animation
16. Facial expression reconstruction on the basis of selected vertices of triangle mesh
17. Facial Reconstruction on the Basis of Video Surveillance System for the Purpose of Suspect Identification
18. Feature selection of motion capture data in gait identification challenge problem
19. Functional Body Mesh Representation – a Simplified Kinematic Model
20. Heuristic Method of Feature Selection for Person Re-identification based on Gait Motion Capture Data
21. Identifying a Joint in Medical Ultrasound Images using Trained Classifiers
22. Implementation of Quaternion Based Lifting Scheme for Motion Data Editor Software
23. ISPGR Congress 2013 – Oral Abstracts
24. ISPGR Congress 2013 – Poster Abstract
25. IX Sympozjum Polskiego Towarzystwa Biomechaniki – _Analiza ruchu – teoria i praktyka w zastosowaniach klinicznych_
26. Klasyfikacja kinematycznych danych chodu na potrzeby oceny stopnia zawansowania choroby Parkinsona
27. Klasyfikacja wielomodalnych danych ruchu
28. Korelacja krzyżowa w ocenie asymetrii chodu u pacjentów ze zwyrodnieniem stawu biodrowego
29. Kwaternionowe wizualizacje ruchu wybranych stawów
30. Learning Articulated Models of Joint Anatomy from Utrasound Images
31. Motion capture technique as a data source for computation of chosen gait indices as measures of gait asymmetry
32. Motion data classification on the basis of Dynamic Time Warping with a cloud point distance measure
33. Motion Data Editor software architecture oriented on efficient and general purpose data analysis
34. New tools for visualization of human motion trajectory in quaternion representation
35. Ocena asymetrii chodu z wykorzystaniem transformaty marszczenia czasu
36. Ocena osobniczych cech ruchu poszczególnych stawów z wykorzystaniem transformaty dynamicznego marszczenia czasu
37. Ocena postępów rehabilitacji pacjentów ze zwyrodnieniami stawu biodrowego, kręgosłupa oraz po udarze mózgu z wykorzystaniem indeksów chodu
38. Ocena zaburzeń ruchowych wybranych okolic stawów prowadzona na bazie transformaty dynamicznego marszczenia czasu
39. On the reducibility of the discrete linear time-varying systems
40. Optimizing orthonormal basis bilinear spatiotemporal representation for motion data
41. Phase Space Reconstruction and Estimation of the Largest Lyapunov Exponent for Gait Kinematic Data
42. Precision of Gait Indices Approximation by Kinect Based Motion Acquisition
43. Preprocessing of 3D scanned images for facial animation on the basis of realistic acquisition
44. Przydatność metody MoCap w ocenie drżenia spoczynkowego u pacjentów z chorobą Parkinsona leczonych zabiegiem Głębokiej Stymulacji Mózgu
45. Recognition of Human Gestures Represented by Depth Camera Motion Sequences
46. Recurrence Plots and Recurrence Quantification Analysis of Human Motion Data
47. Rough Set Based Classifications of Parkinsons Patients Gaits
48. Scalable, Wearable, Unobtrusive Sensor Network for Multimodal Human Monitoring with Distributed Control
49. Selection of individual gait features extracted by MPCA applied to video recordings data
50. Selection of pose configuration parameters o motion capture data based of Dynamic Time Warping
51. Skuteczność leczenia w chorobie Parkinsona na bazie selekcji charakterystycznych cech chodu(2)
52. Skuteczność leczenia w chorobie Parkinsona na bazie selekcji charakterystycznych cech chodu
53. System for Multi-axial Mechanical Stabilization of Digital Camera
54. The dynamics of the human arm with an observer for the capture of body motion parameters
55. The effectiveness of applied treatment in Parkinson disease based on feature selection of motion activities
56. The Expanded Invasive Weed Optimization Metaheuristic for Solving Continuous and Discrete Optimization Problems(2)
57. The Expanded Invasive Weed Optimization Metaheuristic for Solving Continuous and Discrete Optimization Problems
58. The possibilities of clinical assessment of patients with Parkinsons disease after Deep Brain Stimulation (DBS) based on Motion Capture data. Preliminary results
59. Tracking People in Video Sequences by Clustering Feature Motion Paths
60. Trajectory controllability of semilinear systems with delay in control and state
61. Verifying Unmanned Land Vehicle Vision System Configuration Using Serious Gaming Solution
62. Virtual Reality Technology for Military and Industry Training Programs
63. VMASS_ Massive Dataset of Multi-camera Video for Learning, Classification and Recognition of Human Actions
64. Wavelet Features in Motion Data Classification
65. Wykorzystanie sygnałów z akcelerometru, magnetometru i żyroskopu do wyznaczania orientacji w przestrzeni 3D
66. Wyznaczanie indeksów chodu z wykorzystaniem techniki motion capture dla pacjentów ze zwyrodnieniami stawu biodrowego i kręgosłupa oraz po udarze mózgu
67. A Machine-Learning Approach to the Automated Assessment of Joint Synovitis Activity