A 50.7dB-DR Finger-Resistance Extractable Multi-Touch Sensor IC Achieving Finger-Classification Accuracy of 97.7% on 6.7-inch Capacitive Touch Screen Panel

Cited 0 time in webofscience Cited 2 time in scopus
  • Hit : 304
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorSong, Tae-Gyunko
dc.contributor.authorKim, Dong-Kyuko
dc.contributor.authorCho, Jeong-Hyunko
dc.contributor.authorLee, Ji-Hunko
dc.contributor.authorKim, Hyun-Sikko
dc.date.accessioned2020-07-02T01:21:00Z-
dc.date.available2020-07-02T01:21:00Z-
dc.date.created2020-06-17-
dc.date.created2020-06-17-
dc.date.created2020-06-17-
dc.date.issued2020-06-16-
dc.identifier.citation2020 IEEE Symposium on VLSI Circuits, VLSI Circuits 2020-
dc.identifier.urihttp://hdl.handle.net/10203/275096-
dc.description.abstractThis paper presents a 2D touch readout IC embedding finger resistance extraction (FRE) on a capacitive touch screen panel (TSP). The resonance-driven FRE technique and the clamped zoom-in integrator are exploited to achieve a wide dynamic range (DR). To readout the FRE and touch sensing (TS) signals, the switched-capacitor current-controlled oscillator (SC-CCO) based 14-bit ADC was also designed, which benefits low noise and compact size. The prototype chip offers the measured 37.5dB-SNR and 50.7dB-DR in TS and FRE modes, respectively, in a 6.7-inch TSP. By applying a support vector machine (SVM) learning to the FRE data, five different user-fingers were successfully classified with 97.7% accuracy after 500 learning-cycles, thereby bringing the reliable user-differentiation to multi-user collaborative touch interfaces.-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleA 50.7dB-DR Finger-Resistance Extractable Multi-Touch Sensor IC Achieving Finger-Classification Accuracy of 97.7% on 6.7-inch Capacitive Touch Screen Panel-
dc.typeConference-
dc.identifier.wosid000621657500042-
dc.identifier.scopusid2-s2.0-85090243244-
dc.type.rimsCONF-
dc.citation.publicationname2020 IEEE Symposium on VLSI Circuits, VLSI Circuits 2020-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationVirtual-
dc.identifier.doi10.1109/VLSICircuits18222.2020.9162818-
dc.contributor.localauthorKim, Hyun-Sik-
dc.contributor.nonIdAuthorSong, Tae-Gyun-
dc.contributor.nonIdAuthorKim, Dong-Kyu-
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0