DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Daehyun | ko |
dc.contributor.author | Myung, Kyungsik | ko |
dc.date.accessioned | 2023-08-15T03:02:45Z | - |
dc.date.available | 2023-08-15T03:02:45Z | - |
dc.date.created | 2023-07-07 | - |
dc.date.created | 2023-07-07 | - |
dc.date.issued | 2017-01 | - |
dc.identifier.citation | 2017 IEEE International Conference on Consumer Electronics, ICCE 2017, pp.434 - 435 | - |
dc.identifier.uri | http://hdl.handle.net/10203/311532 | - |
dc.description.abstract | Login systems in smart devices demand multi-factor authentication for high security and at the same time, it requires simple user experience. We propose a novel application of lip-reading satisfying these requirements. We present the adequacy of lip-reading as a biometric factor by experiment. In addition, automatic lip-reader can be implemented by LSTM (Long Short Term Memory) neural network architecture with good accuracy that can translate visual utterance to password as a knowledge factor. Furthermore, our proposed method, iterative method, can improve accuracy as much as login system required. Our work achieved 93.8% by single iteration from the first result (69.1%). | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Read my lips, login to the virtual world | - |
dc.type | Conference | - |
dc.identifier.wosid | 000403392300181 | - |
dc.identifier.scopusid | 2-s2.0-85018341782 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 434 | - |
dc.citation.endingpage | 435 | - |
dc.citation.publicationname | 2017 IEEE International Conference on Consumer Electronics, ICCE 2017 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Las Vegas | - |
dc.identifier.doi | 10.1109/ICCE.2017.7889386 | - |
dc.contributor.localauthor | Lee, Daehyun | - |
dc.contributor.nonIdAuthor | Myung, Kyungsik | - |
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