Silent Speech Interface Design Methodology and Case Study

LI Wenshi

doi:10.1049/cje.2016.01.014

Volume 25 Issue 1

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LI Wenshi, “Silent Speech Interface Design Methodology and Case Study,” Chinese Journal of Electronics, vol. 25, no. 1, pp. 88-92, 2016, doi: 10.1049/cje.2016.01.014

Citation:

LI Wenshi, “Silent Speech Interface Design Methodology and Case Study,” Chinese Journal of Electronics, vol. 25, no. 1, pp. 88-92, 2016, doi: 10.1049/cje.2016.01.014

LI Wenshi, “Silent Speech Interface Design Methodology and Case Study,” Chinese Journal of Electronics, vol. 25, no. 1, pp. 88-92, 2016, doi: 10.1049/cje.2016.01.014

Citation:

LI Wenshi, “Silent Speech Interface Design Methodology and Case Study,” Chinese Journal of Electronics, vol. 25, no. 1, pp. 88-92, 2016, doi: 10.1049/cje.2016.01.014

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Silent Speech Interface Design Methodology and Case Study

doi: 10.1049/cje.2016.01.014

LI Wenshi

Department of Microelectronics, Soochow University, Suzhou 215006, China

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

Abstract

Abstract

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.
- Silent speech interface (SSI),
- Research paradigm,
- Imagined word recognition,
- Sensor comparison,
- NIRS based SSI,
- Brain-brain interface (BBI),
- Consciousness communication

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References(22)

References

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