题目/Title：Efficiently User-Independent Ultrasonic-Based Gesture Recognition Algorithm

作者/Author：
                        Feifei Zhou,Xiangyu Li,Zhihua Wang

会议/Conference：IEEE SENSORS 2019

地点/Location：Montreal, QC, Canada

年份/Issue Date：2019.27-30 Oct.

页码/pages：pp. 1 - 4

摘要/Abstract：
A low-complexity gesture recognition algorithm robust to temporal variations of motions is proposed for ultrasonic sensing based free air gesture human-computer interface in this paper. During training and testing, it aligns the features extracted from the range-Doppler map of each frame with the template sequence of each class by dynamic time warping in advance. For each class, a two-class random forest that makes prediction according to the aligned features is trained. Experiments show that the proposed classifier trained by 6 people has a better leave-one-out cross validation accuracy compared with the competitors. It can identify 8 gestures with 93.9% accuracy in 37 ms on PC. Its model size is 5.8 Mbytes.