Sofija Spasojević
Sofija Spasojević
Postdoctoral Fellow, Toronto Rehabilitation Institute
Verified email at pupin.rs
TitleCited byYear
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
132015
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
122017
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
72017
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
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
62012
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
32016
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
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
22012
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
SCHOOL OF ELECTRICAL ENGINEERING
S Spasojevic
UNIVERSITY OF BELGRADE, 2018
2018
Kvantitativna analiza pokreta u rehabilitaciji neuroloških poremećaja korišćenjem vizuelnih i nosivih senzora
S Spasojević
Univerzitet u Beogradu-Elektrotehnički fakultet, 2017
2017
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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Articles 1–19