@inproceedings{pub6780,
    abstract = {We propose a new online face learning and recognition approach using user gaze and augmented displays. User gaze is used to select a face in focus in a scene image whereupon visual feedback and information about the detected person is presented in a head mounted display. Our specific medical application leverages the doctor’s capabilities of recalling the specific patient context.},
    month = {3},
    year = {2013},
    title = {Gaze-based Online Face Learning and Recognition in Augmented Reality},
    booktitle = {Proceedings of the IUI 2013 Workshop on Interactive Machine Learning. IUI Workshop on Interactive Machine Learning, Poster Session, located at 18th International Conference on Intelligent User Interfaces, March 19-22, Santa Monica,, CA, United States},
    publisher = {ACM},
    author = {Takumi Toyama and Daniel Sonntag and Daniel Sonntag and Christian Husodo Schulz},
    url = {http://www.dfki.de/web/forschung/iui/publikationen/renameFileForDownload?filename=iui2012-ml-workshop2.pdf&file_id=uploads_1947}
}