Machine Learning & Artificial Intelligence
Deep learning: DNN (Deep neural networks), Bio-inspired NN, Spiking NN, etc.
Deep RL: Deep reinforcement learning for drones and quadrupedal robots.
Machine learning: SVM, PCA, ICA, etc.
Computational intelligence: Evolutionary computation, Neural networks, Fuzzy logic
Applications: Gesture recognition for HRI (Robot-Human Interaction), Object recognition
Deep learning-based object recognition
Gesture recognition using only depth information
Machine learning-based human pose estimation (skeleton extraction) and gesture recognition
- Hanguen Kim, Sangwon Lee, Dongsung Lee, Soonmin Choi, Jinsun Ju, and Hyun Myung, “Real-time human pose estimation and gesture recognition from depth images using superpixels and SVM classifier," Sensors, vol.15, no.6, pp.12410-12427, May 2015.
- Hangeun Kim, Sangwon Lee, Youngjae Kim, Serin Lee, Dongsung Lee, Jinsun Ju, and Hyun Myung, “Weighted Joint-Based Human Behavior Recognition Algorithm using Only Depth Information for Low-Cost Intelligent Video-Surveillance System," Expert Systems With Applications, vol.45, pp.131-141, Mar. 2016.
Deep learning-based human pose estimation (skeleton extraction) and gesture recognition
- Seunghee Lee, Jungmo Koo, Hyungjin Kim, Kwangyik Jung, and Hyun Myung, “A Robust Estimation of 2D Human Upper-body Poses using Fully Convolutional Network," in Proc. Int'l Conf. on Robot Intelligence Technology and Applications (RiTA), Daejeon, Korea, Dec. 13 – 15, 2017.