Sofija Spasojević
Sofija Spasojević
Postdoctoral Fellow, Toronto Rehabilitation Institute
Verified email at pupin.rs
TitleCited byYear
Combined vision and wearable sensors-based system for movement analysis in rehabilitation
S Spasojević, TV Ilić, S Milanović, V Potkonjak, A Rodić, J Santos-Victor
Methods of information in medicine 56 (02), 95-111, 2017
112017
A vision-based system for movement analysis in medical applications: the example of Parkinson disease
S Spasojević, J Santos-Victor, T Ilić, S Milanović, V Potkonjak, A Rodić
International Conference on Computer Vision Systems, 424-434, 2015
102015
Development of modular compliant anthropomorphic robot hand
A Rodić, B Miloradović, S Popić, S Spasojević, B Karan
New Trends in Medical and Service Robots, 205-219, 2014
72014
Quantitative assessment of the arm/hand movements in Parkinson’s disease using a wireless armband device
S Spasojević, TV Ilić, I Stojković, V Potkonjak, A Rodić, J Santos-Victor
Frontiers in neurology 8, 388, 2017
62017
Recognition and classification of geometric shapes using neural networks
SS Spasojević, MZ Šušić, ŽM Đurović
11th Symposium on Neural Network Applications in Electrical Engineering, 71-76, 2012
52012
Kinect-based application for progress monitoring of the stroke patients
S Spasojević, NV Ilić, A Rodić, J Santos-Victor
Proceedings of IcETRAN Conference, vol. ROI2 6, 1-5, 2017
22017
Embodiment of human personality with EI-robots by mapping behaviour traits from live-model
A Rodić, D Urukalo, M Vujović, S Spasojević, M Tomić, K Berns, ...
International Conference on Robotics in Alpe-Adria Danube Region, 438-448, 2016
22016
Kinect-Based Approach for Upper Body Movement Assessment in Stroke
S Spasojević, A Rodić, J Santos-Victor
New Trends in Medical and Service Robotics, 153-160, 2019
12019
Quantitative movement analysis in the rehabilitation of neurological disorders using vision and wearable sensors
SS Spasojević
Универзитет у Београду, Електротехнички факултет, 2018
12018
Advanced Gesture and Pose Recognition Algorithms Using Computational Intelligence and Microsoft KINECT Sensor
D Katić, P Radulović, S Spasojević, Ž Đurović, A Rodić
New Trends in Medical and Service Robots, 193-207, 2014
12014
Recognition and classification of deaf signs using neural networks
MZ Šušić, SZ Maksimović, SS Spasojević, ŽM Đurović
11th Symposium on Neural Network Applications in Electrical Engineering, 65-70, 2012
12012
SCHOOL OF ELECTRICAL ENGINEERING
S Spasojevic
UNIVERSITY OF BELGRADE, 2018
2018
Embodiment of Human Personality with EI-Robots by Mapping Behaviour Traits from Live-Model
S Spasojević, M Tomić, K Berns, S Al-Darraji, Z Zafar
Advances in Robot Design and Intelligent Control: Proceedings of the 25th …, 2016
2016
Automatic segmentation of therapeutic exercises motion data with a predictive event approach
S Spasojevic, R Ventura, J Santos-Victor, V Potkonjak, A Rodić
New Trends in Medical and Service Robots, 217-225, 2016
2016
Automatic segmentation of therapeutic exercises motion data based on a predictive event approach
S Spasojevic, R Ventura
2014
Primena senzora tipa Kinect u snimanju trajektorija zglobova šake
S Spasojević, B Karan
Zbornik radova 57. konferencije ETRAN, Zlatibor, 3-6. juna 2013, RO3. 2.1 …, 2013
2013
Akvizicija 3D podataka i praktična kalibracija Microsoft Kinect kamere
M Šušić, S Spasojević, B Karan
Zbornik radova 56. konferencije ETRAN, Zlatibor, 11-14. juna 2012, RO2. 4.1 …, 2012
2012
Automatic gesture segmentation based on a predictive event segmentation approach
S Spasojevic, R Ventura
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