DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shin, Hyejin | ko |
dc.contributor.author | Huh, Jun Ho | ko |
dc.contributor.author | Kwon, Bum Jun | ko |
dc.contributor.author | Kim, Iljoo | ko |
dc.contributor.author | Cheon, Eunyong | ko |
dc.contributor.author | Kim, HongMin | ko |
dc.contributor.author | Lee, Choong-Hoon | ko |
dc.contributor.author | Oakley, Ian | ko |
dc.date.accessioned | 2024-07-24T06:00:10Z | - |
dc.date.available | 2024-07-24T06:00:10Z | - |
dc.date.created | 2024-06-21 | - |
dc.date.issued | 2024-05-14 | - |
dc.identifier.citation | 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024 | - |
dc.identifier.uri | http://hdl.handle.net/10203/320314 | - |
dc.description.abstract | This paper investigates the use of through-skull sound conduction to authenticate smartglass users. We mount a surface transducer on the right mastoid process to play cue signals and capture skull-transformed audio responses through contact microphones on various skull locations. We use the resultant bio-acoustic information as classification features. In an initial single-session study (N=25), we achieved mean Equal Error Rates (EERs) of 5.68% and 7.95% with microphones on the brow and left mastoid process. Combining the two signals substantially improves performance (to 2.35% EER). A subsequent multi-session study (N=30) demonstrates EERs are maintained over three recalls and, additionally, shows robustness to donning variations and background noise (achieving 2.72% EER). In a follow-up usability study over one week, participants report high levels of usability (as expressed by SUS scores) and that only modest workload is required to authenticate. Finally, a security analysis demonstrates the system's robustness to spoofing and imitation attacks. | - |
dc.language | English | - |
dc.publisher | Association for Computing Machinery | - |
dc.title | SkullID: Through-Skull Sound Conduction based Authentication for Smartglasses | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.doi | 10.1145/3613904.3642506 | - |
dc.contributor.localauthor | Oakley, Ian | - |
dc.contributor.nonIdAuthor | Shin, Hyejin | - |
dc.contributor.nonIdAuthor | Huh, Jun Ho | - |
dc.contributor.nonIdAuthor | Kwon, Bum Jun | - |
dc.contributor.nonIdAuthor | Kim, Iljoo | - |
dc.contributor.nonIdAuthor | Cheon, Eunyong | - |
dc.contributor.nonIdAuthor | Kim, HongMin | - |
dc.contributor.nonIdAuthor | Lee, Choong-Hoon | - |
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