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Analysis of Multi-Level Simultaneous Driving Technique for Capacitive Touch Sensors.
Park, Jong Kang; Lee, Chang-Ju; Kim, Jong Tae.
Afiliação
  • Park JK; College of Information and Communication Engineering, Sungkyunkwan University, Seobu-ro 2066, 16419 Suwon, Korea. jkpark1@skku.edu.
  • Lee CJ; College of Information and Communication Engineering, Sungkyunkwan University, Seobu-ro 2066, 16419 Suwon, Korea. dodo1789@skku.edu.
  • Kim JT; System LSI Division, Samsung Electronics, 18448 Hwasung, Korea. dodo1789@skku.edu.
Sensors (Basel) ; 17(9)2017 Sep 02.
Article em En | MEDLINE | ID: mdl-28869511
ABSTRACT
The signal-to-noise ratio (SNR) and driving levels of capacitive touch sensors determine the applicability of these sensors to thinner displays and sensor-integrated modules. The simultaneous driving technique has been widely applied to capacitive touch sensors to cope with various types of environmental noise. A Hadamard matrix has been used to determine the driving code and multiplex capacitive signals required to increase the SNR and responsivity of touch sensors. Using multi-level Hadamard matrices, a new driving technique for sensing concurrent capacitive elements across multiple rows of a touch panel was developed. The technique provides more effective design choices than the existing bipolar driving method by supporting a variety of orders of matrices and regular capacity. The required TX voltage can be reduced by applying the Kronecker product for higher orders of simultaneous driving. A system model is presented for multiplexing capacitive signals to extract the SNR of the existing Hadamard matrices as well as one of the proposed multi-level sequences. In addition, the corresponding multi-level drivers and receivers were implemented to verify the theoretical expectations and simulation results of the proposed technique.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2017 Tipo de documento: Article