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DC Field | Value | Language |
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dc.citation.conferencePlace | US | - |
dc.citation.conferencePlace | San Francisco | - |
dc.citation.endPage | 327 | - |
dc.citation.startPage | 326 | - |
dc.citation.title | IEEE International Solid-State Circuits Conference | - |
dc.contributor.author | Hong, Injoon | - |
dc.contributor.author | Bong, Kyeongryeol | - |
dc.contributor.author | Shin, Dongjoo | - |
dc.contributor.author | Park, Seongwook | - |
dc.contributor.author | Lee, Kyuho | - |
dc.contributor.author | Kim, Youchang | - |
dc.contributor.author | Yoo, Hoi-Jun | - |
dc.date.accessioned | 2023-12-19T22:41:31Z | - |
dc.date.available | 2023-12-19T22:41:31Z | - |
dc.date.created | 2018-08-07 | - |
dc.date.issued | 2015-02-22 | - |
dc.description.abstract | Smart eyeglasses or head-mounted displays (HMDs) have been gaining traction as next-generation mainstream wearable devices. However, previous HMD systems [1] have had limited application, primarily due to their lacking a smart user interface (Ul) and user experience (UX). Since HMD systems have a small compact wearable platform, their Ul requires new modalities, rather than a computer mouse or a 2D touch panel. Recent speech-recognition-based Uls require voice input to reveal the user's intention to not only HMD users but also others, which raises privacy concerns in a public space. In addition, prior works [2-3] attempted to support object recognition (OR) or augmented reality (AR) in smart eyeglasses, but consumed considerable power, >381mW, resulting in <;6 hours operation time with a 2100mWh battery. | - |
dc.identifier.bibliographicCitation | IEEE International Solid-State Circuits Conference, pp.326 - 327 | - |
dc.identifier.doi | 10.1109/ISSCC.2015.7063058 | - |
dc.identifier.issn | 0193-6530 | - |
dc.identifier.scopusid | 2-s2.0-84940771084 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/37380 | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/7063058/ | - |
dc.language | 영어 | - |
dc.publisher | 2015 62nd IEEE International Solid-State Circuits Conference, ISSCC 2015 - Digest of Technical Papers | - |
dc.title | A 2.71nJ/pixel 3D-stacked gaze-activated object-recognition system for low-power mobile HMD applications | - |
dc.type | Conference Paper | - |
dc.date.conferenceDate | 2015-02-22 | - |
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