Computer intelligence for recognition and support of human activities

Submitted by moderator_US on Mon, 08/24/2020 - 09:25
University
University of Split
Faculty/school/department
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split
Size of the team
number of researchers number of supporting staff number of PhD students
5
3
4
Composition of Joint Unit of Research, if relevant

Computing

PI
PI name
Vladan Papić
PI email
Vladan.papic@fesb.hr
PI bio

Vladan Papić researcher ID: K-3359-2012

Contact person and e-mail
Contact person
Boris Ljubenkov
Contact person e-mail
Boris.ljubenkov@fesb.hr
Short description of research profile

- Sports Analysis

- Object detection and tracking

- Robotics

- Human – machine interaction

- Control and optimization

- Machine learning

- Biomechanics

- GPGPU accelerated image processing

Research area
ENGINEERING AND TECHNOLOGY » Environmental engineering
Publications

Representative publications

Marasović, Tea; Papić, Vladan Person classification from aerial imagery using local convolutional neural network features.  // International journal of remote sensing, 40 (2019), 24;  9084-9102
Musić, Josip; Kružić, Stanko; Stančić, Ivo; Papić, Vladan Adaptive Fuzzy Mediation for Multimodal Control of Mobile Robots in Navigation-based Tasks.  // International Journal of Computational Intelligence Systems, 12 (2019), 2;  1197-1211
Pleština, Vladimir; Papić, Vladan Spiral Particle Distribution for Template based Tracking.  // WSEAS transactions on computers, 18 (2019),  122-127
Marasović, Tea; Papić, Vladan A Comparative Study of FFT, DCT and DWT for Efficient Arrhytmia Classification in RP-RF Framework.  // International Journal of E-Health and Medical Communications, 9 (2018), 1;  35-49
Musić, Josip; Marasović, Tea; Papić, Vladan; Orović, Irena; Stanković, Srdjan Performance of compressive sensing image reconstruction for search and rescue.  // IEEE geoscience and remote sensing letters, 13 (2016), 11;  1739-1743
Technology Expertise

Research group uses 3 laboratories: Laboratory for biomechanics, automatics and systems,  Laboratory for expert systems, machine learning and image processing an Laboratory for distributed systems and software ingeneering. Labs are equipped with various devices for mesurements in biomechanics (force plate, EMG, inertial sensors XSens) and image acquisition (camcorders, 3D cameras, high-speed cameras, ...), as well as other devices for signal acquisition (sensor glove, accelerometers, Kinect). Also, labs are equipped with several UAVs, mobile robotic platforms (BlueROV2,  Leo Rover, Mover6) , robotics sets (Arduino, NXT Mindstorm, Turtlebot) and several types of embedded computers.