Reading #29: Scratch Input Creating Large, Inexpensive, Unpowered and Mobile Finger Input Surfaces

Comments:
Wenzhe
Summary:
This paper aims to develop an acoustic-base gesture recognizer, which depends on the different feature of the sound when drawing different shapes. This system is easy to implemented into mobile device according to its relatively small size and therefore is suitable for many surfaces like walls, tables or colthes, etc.
This system extract peak counts and amplitued from the sound of each gesture and use a decision tree to make the recognition decision.
The tests show this system reach an accuracy of 89% when used on 6 gestures.
Discussion:
This paper is related with one of the topic of project 3. The idea of using sound is a creative idea. It's difficulty is we need to deal with the noise caused by surrounding enviroment and from the action of drawing itself. Two team of our class show some interesting result of doing similar experiment.