Applying teeline shorthand using leap motion controller
Date
2017-02-08
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Abstract
A hand gesture recognition program was developed to recognize users’ Teeline
shorthand gestures as English letters, words and sentences using Leap Motion
Controller. The program is intended to provide a novel way for the users to interact
with electronics by waving gestures in the air to input texts instead of using keyboards.
In the recognition mode, the dynamic time warping algorithm is used to compare the
similarities between different templates and gesture inputs and summarize the
recognition results; in the edit process, users are able to build their own gestures to
customize the commands. A series of experiment results show that the program can
achieve a considerable recognition accuracy, and it has consistent performance in face
of different user groups.
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Keywords
Human-computer interaction, teeline shorthand, leap motion controller, dynamic time warping, hand gesture recognition