Since many motor companies are considering applying gesture control to in-vehicle interaction, it becomes a question that how to match the secondary driving task with a suitable gesture. Based on the usability principle and the gesture database we built in this study, a usability test for in-vehicle gesture control was carried out in a simulated driving cockpit with an Eye-Tracker involved. 14 kinds of data related to the usability were collected in the test, from which 11 indexes that could apparently represent the usability were elected to build an evaluation method based on Fuzzy Comprehensive Evaluation. Through this method, the most suitable gesture solution for each task was figured out, which can provide reference for the future application of gesture control inside the vehicle.
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