题目/Title：Design of a Flexible Wearable Smart sEMG Recorder Integrated Gradient Boosting Decision Tree Based Hand Gesture Recognition

作者/Author：
                        Wei Song,Qingquan Han,Zhonghang Lin,Nan Yan,Deng Luo,Yiqiao Liao,Milin Zhang,Zhihua Wang,Xiang Xie, Anhe Wang, Yang Chen, Shuo Bai

期刊/Journal：IEEE Transactions on Biomedical Circuits and Systems

年份/Issue Date：2019Nov.

卷（期）及页码/Volume（No.）&pages：Vol.13, No.6, pp. 1563 - 1574

摘要/Abstract：
This paper proposed a wearable smart sEMG recorder integrated gradient boosting decision tree (GBDT) based hand gesture recognition. A hydrogel-silica gel based flexible surface electrode band is used as the tissue interface. The sEMG signal is collected using a neural signal acquisition analog front end (AFE) chip. A quantitative analysis method is proposed to balance the algorithm complexity and recognition accuracy. A parallel GBDT implementation is proposed featuring a low latency. The proposed GBDT based neural signal processing unit (NSPU) is implemented on an FPGA near the AFE. A RF module is used for wireless communication. A hand gesture set including 12 gestures is designed for human-computer interaction. Experimental results show an overall hand gesture recognition accuracy of 91%.