DC Field | Value | Language |
---|---|---|
dc.contributor.author | Song, Tae-Gyun | ko |
dc.contributor.author | Kim, Dong-Kyu | ko |
dc.contributor.author | Cho, Jeong-Hyun | ko |
dc.contributor.author | Lee, Ji-Hun | ko |
dc.contributor.author | Kim, Hyun-Sik | ko |
dc.date.accessioned | 2021-11-02T06:42:12Z | - |
dc.date.available | 2021-11-02T06:42:12Z | - |
dc.date.created | 2021-10-25 | - |
dc.date.created | 2021-10-25 | - |
dc.date.created | 2021-10-25 | - |
dc.date.created | 2021-10-25 | - |
dc.date.created | 2021-10-25 | - |
dc.date.issued | 2021-11 | - |
dc.identifier.citation | IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.56, no.11, pp.3470 - 3485 | - |
dc.identifier.issn | 0018-9200 | - |
dc.identifier.uri | http://hdl.handle.net/10203/288513 | - |
dc.description.abstract | This article presents multi-touch readout IC embedding finger-resistance extraction (FRE) on a capacitive touch screen panel (TSP). The proposed FRE mode is aimed to have the ability to tell users apart while sensing touch input by utilizing a unique finger’s resistance due to different bio-electrical properties. The resonance-driven FRE technique and a clamped zoom-in integrator are exploited to obtain a wide dynamic range (DR). A switched-capacitor current-controlled oscillator-based 14-bit analog-to-digital converter (ADC) was also designed, which has the benefits of low noise, compact size, and high flexibility of its resolution. The prototype chip fabricated in 0.18- μm CMOS achieved the measured signal-to-noise ratio (SNR) of 37.5 dB and DR of 50.7 dB in touch sensing and FRE modes, respectively, in a real-6.7-in capacitive TSP. By applying support vector machine learning to the FRE data, five different user-fingers were successfully classified with 97.7% accuracy after 500 learning cycles and thus demonstrating the feasibility of reliable user-differentiation on multi-user collaborative touch interfaces. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | A 50.7-dB-DR Finger-Resistance Extracting Multi-Touch Sensor IC for Soft Classification of Fingers Contacted on 6.7-in Capacitive Touch Screen Panel | - |
dc.type | Article | - |
dc.identifier.wosid | 000711641100027 | - |
dc.identifier.scopusid | 2-s2.0-85112656912 | - |
dc.type.rims | ART | - |
dc.citation.volume | 56 | - |
dc.citation.issue | 11 | - |
dc.citation.beginningpage | 3470 | - |
dc.citation.endingpage | 3485 | - |
dc.citation.publicationname | IEEE JOURNAL OF SOLID-STATE CIRCUITS | - |
dc.identifier.doi | 10.1109/jssc.2021.3098732 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Kim, Hyun-Sik | - |
dc.contributor.nonIdAuthor | Song, Tae-Gyun | - |
dc.contributor.nonIdAuthor | Kim, Dong-Kyu | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Analog front-end (AFE) | - |
dc.subject.keywordAuthor | dynamic range (DR) | - |
dc.subject.keywordAuthor | finger-resistance extraction (FRE) | - |
dc.subject.keywordAuthor | support vector machine (SVM) | - |
dc.subject.keywordAuthor | touch screen panel (TSP) | - |
dc.subject.keywordAuthor | touch sensor (TS) | - |
dc.subject.keywordAuthor | zoom-in integration | - |
dc.subject.keywordPlus | GESTURE-SENSING SYSTEM | - |
dc.subject.keywordPlus | ANALOG FRONT-END | - |
dc.subject.keywordPlus | SEIZURE CLASSIFICATION | - |
dc.subject.keywordPlus | FRAME-RATE | - |
dc.subject.keywordPlus | READOUT | - |
dc.subject.keywordPlus | SNR | - |
dc.subject.keywordPlus | 8-CHANNEL | - |
dc.subject.keywordPlus | PRESSURE | - |
dc.subject.keywordPlus | SOC | - |
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