[1] L. Guo*, L. Yu, and Q. Fang, "Upper limb motion recognition for unsupervised stroke rehabilitation based on support vector machine," International Symposium on Bioelectronics and Bioinformatics (ISBB), 3-5 November, 2011, Suzhou, China, pp. 37-40.
[2] L. Guo*, J. Wang, and Q. Fang, "Motion recognition for unsupervised hand rehabilitation using support vector machine," Biomedical Circuits and Systems Conference (BioCAS), 28-30 November, 2012, Hsinchu, Taiwan, pp.104-107.
[3] L. Guo*, L. Yu, et al. "A Novel Wearable Gait Analysis System for Stroke Patients," International Conference on Mechatronics and Automation Engineering(ICMAE).20-22 April, 2016, Xiamen, China.
[4] L. Guo*, J. Wang, et al. " Motion Recognition for Stroke Rehabilitation Based on BP, RBF Neural Network and Support Vector Machine ," International Conference on Computer Engineering and Information System(CEIS), 12-13 November, 2016 , Shanghai, China.
[5] L. Guo*, J. Wang, et al. "Wearable Rehabilitation Assessment System Based on Complex Network," The 2nd International Conference on Information Technology (InCIT) , 2-3 November, 2017, Nakhon Pathom, Thailand.
[6] L. Guo*, J. Chen, et al. "Wearable Motion Recognition System Based on Dynamic Time Warping," The 2nd annual International Conference on Wireless Communications, Networking and Applications(WCNA), December 14-16, 2018, Wuhan, China.