Human Activity Recognition – Teleinfrastructure Research Lab at TU-Sofia

Human Skeleton Motion Prediction Using Graph Convolution Optimized GRU Network

Krasimir Tonchev, Agata Manolova, Radostina Petkova, Vladimir Poulkov
30th International Scientific Conference Electronics, ET 2021

Human activity recognition with semantically guided graph-convolutional network

Agata Manolova, Krasimir Tonchev, Nikolay Neshov, Nicole Christoff
2021 XXX International Scientific Conference Electronics (ET)

Real-time estimation of distance between people and/or objects in video surveillance

Nikolay Neshov, Agata Manolova, Krasimir Tonchev, and Vladimir Poulkov.

23rd International Symposium on Wireless Personal Multimedia Communications (WPMC), pp. 1-4. IEEE, 2020.

Detection and Analysis of Periodic Actions for Context-Aware Human Centric Cyber Physical System to Enable Adaptive Occupational Therapy

Nikolay Neshov, Agata Manolova, Krasimir Tonchev, and Ognian Boumbarov.

10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), vol. 2, pp. 685-690. IEEE, 2019.

Skeleton-Based Human Activity Recognition by Spatio-Temporal Representation and Convolutional Neural Networks with application to Cyber Physical Systems with Human in the Loop

Petar Nikolov, Ognian Boumbarov, Agata Manolova, Krasimir Tonchev, Vladimir Poulkov

Proceedings of International Conference on Telecommunications and Signal Processing (TSP), Athens, Greece, July 2018, pp. 437-441, DOI: 10.1109/TSP.2018.8441171

Multi-View Skeleton Pose Sequence Selection for Human Activity Analysis

Petar Nikolov, Ognian Boumbarov

International Journal of Innovative Science, Engineering & Technology, vol. 4, no. 7

Pain detection from facial characteristics using supervised descent method

Nikolay Neshov, Agata Manolova

IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2015