
CLC number: TP399; R318
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2014-09-17
Cited: 3
Clicked: 11424
Hong-tao Wang, Yuan-qing Li, Tian-you Yu. Coordinated control of an intelligent wheelchair based on a brain-computer interface and speech recognition[J]. Journal of Zhejiang University Science C,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.C1400150 @article{title="Coordinated control of an intelligent wheelchair based on a brain-computer interface and speech recognition", %0 Journal Article TY - JOUR
基于脑机接口与语音协同控制的智能轮椅研究目的:面向重症瘫痪(特别是伴随失语症)病人,充分发掘其有限对外交流信息的途径(脑电、语音等),利用脑机接口与语音识别协同控制的方式实现智能轮椅控制。创新要点:采用脑电(事件关联电位、运动想象)和语音(单音,如"啊")实现了轮椅的前进、左转、右转和停止功能。 研究方法:设计了轮椅控制硬件平台(图1)和协同控制算法(图4)。其中,事件关联电位脑机接口(P300)子算法识别受试者是否注视"S"闪烁键(闪烁键界面如图3所示),若受试者有控制意图,则转化成相应的启动指令;运动想象脑机接口子算法实时提取受试者脑电信号,并将其左/右手运动想象意图转化为左/右转控制指令;语音识别子算法识别受试者主动发出的单音(如"啊"),并转化为停止指令。 重要结论:受试者仅用视觉刺激,想象左/右手及单音(如"啊")就能控制轮椅的前进、左转、右转、停止和启动。五位健康受试者参与了评估实验,达到了良好的控制效果,特别是最佳时间比和最佳路径比两项指标令人满意。 脑机接口;语音识别;协同控制;智能轮椅 Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
Reference[1]Abraham, M., Ormrod, J., 1999. Artificial speaking device for aphasic children. Proc. 1st Joint BMES/EMBS Conf., p.665-671. ![]() [2]Barea, R., Boquete, L., Mazp, M., et al., 2002. System for assisted mobility using eye movements based on electrooculography. IEEE Trans. Neur. Syst. Rehabil. Eng., 10(4):209-218. ![]() [3]Blanchard, G., Blankertz, B., 2004. BCI competition 2003—data set IIa: spatial patterns of self-controlled brain rhythm modulations. IEEE Trans. Biomed. Eng., 51(6):1062-1066. ![]() [4]Bromberg, M.B., 2008. Quality of life in amyotrophic lateral sclerosis. Phys. Med. Rehabil. Clin. N. Amer., 19(3):591-605. ![]() [5]Eddy, S.R., 1996. Hidden Markov models. Curr. Opin. Struct. Biol., 6(3):361-365. ![]() [6]Furui, S., 1986. Speaker-independent isolated word recognition using dynamic features of speech spectrum. IEEE Trans. Acoust. Speech Signal Process., 34(1):52-59. ![]() [7]Huang, D.D., Qian, K., Fei, D.Y., et al., 2012. Electroencephalography (EEG)-based brain-computer interface (BCI): a 2-D virtual wheelchair control based on event-related desynchronization/synchronization and state control. IEEE Trans. Neur. Syst. Rehabil. Eng., 20(3):379-388. ![]() [8]Huo, X.L., Wang, J., Ghovanloo, M., 2008. A magneto-inductive sensor based wireless tongue-computer interface. IEEE Trans. Neur. Syst. Rehabil. Eng., 16(5):497-504. ![]() [9]Iturrate, I., Antelis, J.M., Kubler, A., et al., 2009. A noninvasive brain-actuated wheelchair based on a P300 neurophysiological protocol and automated navigation. IEEE Trans. Robot., 25(3):614-627. ![]() [10]Lee, K.F., Hon, H.W., 1989. Speaker-independent phone recognition using hidden Markov models. IEEE Trans. Acoust. Speech Signal Process., 37(11):1641-1648. ![]() [11]Li, Y.Q., Guan, C.T., 2008. Joint feature re-extraction and classification using an iterative semi-supervised support vector machine algorithm. Mach. Learn., 71(1):33-53. ![]() [12]Li, Y.Q., Long, J., Yu, T., et al., 2010. An EEG-based BCI system for 2-D cursor control by combining mu/beta rhythm and P300 potential. IEEE Trans. Biomed. Eng., 57(10):2495-2505. ![]() [13]Li, Y.Q., Pan, J.H., Wang, F., et al., 2013. A hybrid BCI system combining P300 and SSVEP and its application to wheelchair control. IEEE Trans. Biomed. Eng., 60(11):3156-3166. ![]() [14]Liu, T., Li, Y.Q., Wang, H.T., 2012. An assistive system based on ultrasonic sensors for brain-controlled wheelchair to avoid obstacles. Proc. 31st Chinese Control Conf., p.3741-3744. ![]() [15]Long, J.Y., Li, Y.Q., Wang, H.T., et al., 2012. A hybrid brain computer interface to control the direction and speed of a simulated or real wheelchair. IEEE Trans. Neur. Syst. Rehabil. Eng., 20(5):720-729. ![]() [16]Luo, Y., Huang, H., Zhang, Y., et al., 2011. A novel endpoint detection method and its application on human-computer interaction of intelligent wheelchair. J. Chongqing Univ. Posts Telecommun. (Nat.. Sci. Ed.), 23(4):487-491 (in Chinese). ![]() [17]Millan, J.D.R., Galan, F., Vanhooydonck, D., et al., 2009. Asynchronous non-invasive brain-actuated control of an intelligent wheelchair. Proc. Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society, p.3361-3364. ![]() [18]Panicker, R.C., Puthusserypady, S., Sun, Y., 2011. An asynchronous P300 BCI with SSVEP-based control state detection. IEEE Trans. Biomed. Eng., 58(6):1781-1788. ![]() [19]Peixoto, N., Nik, H.G., Charkhkar, H., 2013. Voice controlled wheelchairs: fine control by humming. Comput. Methods Programs Biomed., 112(1):156-165. ![]() [20]Rabiner, L.R., Levinson, S.E., Sondhi, M.M., 1983. On the application of vector quantization and hidden Markov models to speaker-independent, isolated word recognition. Bell Syst. Tech. J., 62(4):1075-1105. ![]() [21]Raya, R., Roa, J.O., Rocon, E., et al., 2010. Wearable inertial mouse for children with physical and cognitive impairments. Sens. Actuat. A, 162(2):248-259. ![]() [22]Rebsamen, B., Burdet, E., Guan, C.T., et al., 2006. A brain-controlled wheelchair based on P300 and path guidance. Proc. 1st IEEE/RAS-EMBS Int. Conf. on Biomedical Robotics and Biomechatronics, p.1101-1106. ![]() [23]Rebsamen, B., Guan, C.T., Zhang, H.H., et al., 2010. A brain controlled wheelchair to navigate in familiar environments. IEEE Trans. Neur. Syst. Rehabil. Eng., 18(6):590-598. ![]() Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou
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