LI Wenshi. Silent Speech Interface Design Methodology and Case Study[J]. Chinese Journal of Electronics, 2016, 25(1): 88-92. doi: 10.1049/cje.2016.01.014
Citation: LI Wenshi. Silent Speech Interface Design Methodology and Case Study[J]. Chinese Journal of Electronics, 2016, 25(1): 88-92. doi: 10.1049/cje.2016.01.014

Silent Speech Interface Design Methodology and Case Study

doi: 10.1049/cje.2016.01.014
Funds:  This work was supported by the Natural Science Foundation of Jiangsu Province, China in 2014 (No.BK20141196).
  • Received Date: 2014-02-24
  • Rev Recd Date: 2015-04-24
  • Publish Date: 2016-01-10
  • Silent speech interfaces (SSI) will face unable talking or silent cell phoning ones, or used in military scenarios. The best sensors and their positions glued information sources of imagined words will be reviewed under decoding model and Figure of merits (FOM) with new features toward multimodal Brain-brain interface (BBI) fitting consciousness communication. The data probing channels of known SSIs can be outlined into three logic categories of traditional articulators, intrinsic brain and neurovascular pathways. Eight kinds of corresponding sensors are evaluated importantly with six-axes spider-web charts. Our novel case of NIRS-based SSI showcased is with millisecond resolution. Above works may enhance the base of Brain Health Microelectronics.
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  • B. Denby, T. Schultz, K. Honda, et al., “Silent speech interfaces”, Speech Communication, Vol.52, No.4, pp.270-287, 2010.
    J.S. Brumberg, Alfonso Nieto-Castanon, P.R. Kennedy, et al., “Brain-computer interfaces for speech communication”, Speech Communication, Vol.52, pp.367-379, 2010.
    M.A.L. Nicolelis, “Actions from thoughts”, Nature, Vol.409, pp.403-407, 2001.
    J.J. Vidal, “Toward direct brain-computer communication”, Annual Review of Biophysics and Bioengineering, Vol.2, pp.157-180, 1973.
    M.A. Lebedev and M.A.L. Nicolelis, “Brain-machine interfaces: Past, present and future”, Trends in Neuroscience, Vol.29, No.9, pp.536-546, 2006.
    Xiaomei Pei, Jeremy Hill and Gerwin Schalk, “Silent communication”, IEEE Pulse, No.1, pp.43-46, 2012.
    LiWen-Shi, Qian Chong-Yang, Li Lei, et al., “Let ear speak: An auricular frontal-lobe-point's near-infrared spectroscope braincomputer interface”, Journal of Nanjing University (Natural Sciences), Vol.48, No.5, pp.654-660, 2012.
    L.R. Hochberg and J.P. Donoghue, “Sensors for brain-computer interfaces: Options for turning thought into action”, IEEE Engineering in Medicine and Biology Magazine, No.7, pp.32-38, 2006.
    E.T. Rolls and A. Treves, “The neural encoding of information in the brain”, Progress in Neurobiology, Vol.95, pp.448-490, 2011.
    M. Naito, Y. Michioka, K. Ozawa, et al., “A communication means for totally locked-in ALS patients based on changes in cerebral blood volume measured with near-infrared light”, EICE Transactions on Information and Systems, Vol.E90-D, No.7, pp.1028-1037, 2007.
    C. Herff, D. Heger, F. Putze, et al., “Cross-subject classification of speaking modes using fNIRS”, 19th International Conference on Neural Information Processing (ICONIP 2012), pp.417-424, 2012.
    Li Whenshi, “Lie detection novel method based on brain neurotransmitter”, Patent, No.200510095198.7, China.
    T. Oleson, “Auriculotherapy manual: Chinese and western systems of ear acupuncture”, Los Angeles, California: Elsevier Science Ltd., pp.8-18, 2003.
    R. Sharma, V.I. Pavlvoic and T. Huang, “Toward multimodal human-computer interface”, Proceedings of the IEEE, Vol.86, No.5, pp.853-869, 1998.
    Unsoo Ha, Yongsu Lee, Hyunki Kim, et al., “A wearable EEGHEG- HRV multimodal system with real-time TES monitoring for mental health”, ISSCC 2015, pp.396-398, 2015.
    Li Jian-wen, Yu Xiao-ming and Cao Li-jia, “Response of skin to audible signal and skin-hearing aid”, Journal of Clinical Rehabilitative Tissue Engineering Research, Vol.12, No.13, pp.2579- 2582, 2008.
    M. Wand, M. Janke and T. Schultz, “Tackling speaking mode varieties in EMG-based speech recognition”, IEEE Tansactions on Biomedical Engineering, Vol.61, No.10, pp.2515-2526, 2014.
    M. Matsumoto and J. Hori, “Classification of silent speech using adaptive collection”, 2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistivier Technologies, pp.5-9, 2013.
    Kinam Kim, “Silicon technologies and solutions for the datadriven world”, ISSCC 2015, pp.8-14, 2015.
    Jong-Kwan Choi, Jae-Myoung Kim, Gunpil Hwang, et al., “A time-divided spread-spectrum code based 15pW-detectable multi-channel fNIRS IC for portable functional brain imaging”, ISSCC 2015, pp.196-198, 2015.
    W.S. Li and Y.T. Li, “FOMs of consciousness measurement”, WIT Transactions on Information and Communication Technologies, pp.121-124, 2015.
    Li Whenshi, Li Lei and Qiang chongyang, “A method, system and lock of speech center decoding”, Patent, No. 201210315559.4, China.
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