Learning_AI

Machine Learning & Artificial Intelligence

  • Deep learning: DNN (Deep neural networks), Bio-inspired NN, Spiking NN, etc.

  • 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

Deep Learning

Deep learning-based object recognition

Gesture recognition using only depth information

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.