60‐3: Invited Paper: Machine Learning Approaches to Active Stylus for Capacitive Touch Screen Panel Applications-Reference-Cited by-同舟云学术

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60‐3: Invited Paper: Machine Learning Approaches to Active Stylus for Capacitive Touch Screen Panel Applications

Published:2020-08 Issue:1 Volume:51 Page:897-900
ISSN:0097-966X
Container-title:SID Symposium Digest of Technical Papers
language:en
Short-container-title:SID Symposium Digest of Technical Papers

Author:

Nam Hyoungsik¹,Seol Ki-Hyuk¹,Park Seungjun¹

Affiliation:

1. Dept. of Information Display Kyung Hee University Seoul Korea

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sdtp.14015

Reference11 articles.

1. A highly area-efficient controller for capacitive touch screen panel systems

2. A touch controller using differential sensing method for on-cell capacitive touch screen panel systems

3. Passive stylus for capacitive sensors;Badaye M.;U.S. Patent 8,125,469,2012

4. 9.6 a 3.9 khz-frame-rate capacitive touch system with pressure/tilt angle expressions of active stylus using multiple-frequency driving method for 65’ 104×64 touch screen panel;An J.-S.;IEEE ISSCC Dig. Tech. Papers,2017

5. Method for sensing fast motion, controller and electromagnetic sensing apparatus;Chang-Hsien C.;U.S. Patent Appl. 14 472 345,2015

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