Design and Development of Intelligent Riding Assistant Equipment Based on Attitude Recognition

摘要

This program mainly use the neurons in the main control board and six-axis acceleration sensor belong to Intel based on Arduino called Curie Nano to collect the gesture data. And after extracted the feature of these data, motion data training must be begun, then to recognize the relevant motion such as left and right, in order to lighten the relevant LED light. For this result, drivers can be warmed to take evasive action to reduce the traffic accident. Through the test controller really wear it and then to test in the relevant area. As the result, the recognition rates of left is 92%, and the right is 96%. So, left and right can be better recognized.