Live-Feeling Communication (LFC)
The Live-Feeling Communication group works on a real-time Human-Machine interface for personalized content delivery. The project contains several components: human face capture and emotion recognition, human-gaze football game prediction, live-stream football game manipulation, multi-modal data fusion, and human intention estimation.
Currently, we are working on the following components:
- Real-Time Football Game Analysis and Prediction
- Gaze Prediction
- Emotion Recognition
Publications
- Lukac M., Kameyama M., Migranva Y., Live-Feeling Communication: Multi-Algorithm Approach to the Estimation of Human Intentions, IEEE SMC, pp. 2152-2157, 2017
- Lukac M., Oteniyaz G., Modeling Human Intention in a Live-Feeling Platform, International Conference on Cognitive Modeling (ICCM), pp. 270-272, 2016