Comments:
Chris
Summary:
The paper presents an acoustic-based finger input system, called Scratch Input, that can be used to create large, inexpensive and mobile finger input surfaces. The system is easy and convenient to carry, and can be used in desk, wall, mobile phone and etc. Only one microphone is used to record sounds.
The recognizer employed in the system is to recognize gestures by their sounds. Peak counts and amplitude is extracted from the sound of each gesture, and a shallow decision tree is used to make a decision. The system is tested by six gestures, and the accuracy is near 89%.
Discussion:
An interesting topic to recognize gestures by sounds. In the paper, authors give us several examples of the application of their system. However, I find the system seems too trivial. First, gestures are too different. Six gesture may be easily differentiated by peak counts due to different strokes. Second, the vocabulary is limited, because too many gestures have the same sound. Third, the order of strokes is very important to the system, and only specified order can be recognized. Finally, the system need a quiet environment. Though easy and convenient, the system really has many limitations.
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