You can try it out here.

Screenshot of NoodleNav

It requires that your web browser has the Adobe Flash player installed and that you have a webcam available for it to use (it has to track your head gestures somehow!). The main idea is that you train it by clicking the train camera button, then place your head in the box indicated (kind of a dumb training algorithm, but for now it serves its purpose), then click done. It will take a snapshot and then lock on, once you see the small box appear, hopefully around you eyes and nose area, then it will track the direction you look. This then gets translated in to panning movements on the underlying Google Maps that corresponds to the direction you turn your head. I have plans to enhance this proof of concept, but this is what I used for my thesis, so enjoy!

 The link is here.

The system that I created actually used Flex/Flash along with Google Maps and a webcam to control panning in Google Maps with head turn. It ended up working decently well, and with some practice people ended up being faster and more accurate, in the evaluation tasks, with head gestures than with a touchpad on a laptop…interesting! The following is the abstract, to give you a little better idea of what the thesis is about:

Abstract

New, often free, spatial information applications such as mapping tools, topological imaging, and geographic information systems are becoming increasingly available to the average computer user. These systems, which were once available only to government, scholastic, and corporate institutions with highly skilled operators, are driving a need for new and innovative ways for the average user to navigate and control spatial information intuitively, accurately, and efficiently. Gestures provide a method of control that is well suited to navigating the large datasets often associated with spatial information applications. Several different types of gestures and different applications that navigate spatial data are examined. This leads to the introduction of a system that uses a visual head tracking scheme for controlling of the most common navigation action in the most common type of spatial information application, panning a 2-D map. The proposed head tracking scheme uses head pointing to control the direction of panning. The head tracking control is evaluated against the traditional control methods of the mouse and touchpad, showing a significant performance increase over the touchpad and comparable performance to the mouse, despite limited practice with head tracking.