Google Glass has potential to be a real-time data capture and annotation tool. With professional sports as a use-case, we present a platform which helps a football coach capture and annotate interesting events using Google Glass. In our implementation, an interesting event is indicated by a predefined hand gesture or motion, and our platform can automatically detect these gestures in a video without training any classifier. Three event detectors are examined and our experiment shows that the detector with combined edgeness and color moment features gives the best detection performance.