Active stylus‐touch discrimination scheme based on anomaly detection algorithm
暂无分享,去创建一个
Ki-Hyuk Seol | Hyoungsik Nam | Junhee Lee | Seungjun Park | Ki-Hyuk Seol | Seungjun Park | Junhee Lee | Hyoungsik Nam
[2] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[3] Gyu-Hyeong Cho,et al. A highly noise-immune touch controller using Filtered-Delta-Integration and a charge-interpolation technique for 10.1-inch capacitive touch-screen panels , 2013, 2013 IEEE International Solid-State Circuits Conference Digest of Technical Papers.
[4] Koji Shigemura,et al. Capacitive touchscreen‐integrated electrostatic tactile display with localized sensation , 2019, Journal of the Society for Information Display.
[5] Oh-Kyong Kwon,et al. A highly area-efficient controller for capacitive touch screen panel systems , 2010, IEEE Transactions on Consumer Electronics.
[6] Seok-Jeong Song,et al. Finger and stylus discrimination scheme based on capacitive touch screen panel and support vector machine classifier , 2019, Japanese Journal of Applied Physics.
[7] Yutaka Ozawa,et al. A full integration of electromagnetic resonance sensor and capacitive touch sensor into LCD , 2019 .
[8] Oh-Kyong Kwon,et al. 9.6 A 3.9kHz-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 , 2017, 2017 IEEE International Solid-State Circuits Conference (ISSCC).
[9] Takashi Okada,et al. An in‐cell capacitive touch sensor integrated in an LTPS WSVGA TFT‐LCD , 2012 .
[10] Ki-Hyuk Seol,et al. A Contact-Based Data Communication Technique Using Capacitive Touch Screen Panel and Support Vector Machine Classifier , 2019, IEEE Access.