Pressure Sensitive Stylus and Algorithm for Touchscreen Panel

Lin, Chih‐Lung; Li, Chia-Sheng; Chang, Yi-Ming; Lin, Tsung-Chih; Chen, Jiann-Fuh; Lin, U-Chen

doi:10.1109/jdt.2012.2220524

Cited by 15 publications

(2 citation statements)

References 11 publications

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“…Additionally, the passive stylus is not distinguished from a finger. Lin et al [199] showed that the pressure level could be sensed in the passive stylus due to the contact area change of the deformable head proportional to the pressing force.…”

Section: Stylus Supportmentioning

confidence: 99%

Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches

Nam

Seol

Lee

et al. 2021

Sensors

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Touchscreens have been studied and developed for a long time to provide user-friendly and intuitive interfaces on displays. This paper describes the touchscreen technologies in four categories of resistive, capacitive, acoustic wave, and optical methods. Then, it addresses the main studies of SNR improvement and stylus support on the capacitive touchscreens that have been widely adopted in most consumer electronics such as smartphones, tablet PCs, and notebook PCs. In addition, the machine learning approaches for capacitive touchscreens are explained in four applications of user identification/authentication, gesture detection, accuracy improvement, and input discrimination.

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Section: Stylus Supportmentioning

confidence: 99%

Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches

Nam

Seol

Lee

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The primary features are 'stylus accuracy', 'device latency', and 'unintended touch', and the secondary features are 'texture and aesthetics' and 'stroke beautification'. Regarding the primary features, these have been improved through several studies [8][9][10][11]. 'Stroke beautification' has also been gradually developed, and can be seen in actual applications [12,13].…”

Section: Introductionmentioning

confidence: 99%

User Experience of a Stylus Pen That Can Provide the Texture of Pen and Paper

Ahn

Park

Kim

2019

SAJIE

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There is a lot of investment in research on displaying texture through a stylus pen. However, little is known about the effect of a stylus pen that can provide the texture of pen and paper on user experience. This study investigated whether there is a change in user experience when using a stylus pen that can provide pen-andpaper texture compared with a typical stylus pen. Experiments involving writing and drawing tasks using three tools (a stylus pen that can provide pen-and-paper texture, a typical stylus pen, and analogue pen and paper) were conducted, and user experiences were compared. After a literature review that examined the factors affecting the experience of using a pen, the experiments were conducted to measure usability and emotions. We found little difference between the typical stylus pen and the stylus pen in providing texture in respect of completion time and amount of error. However, the stylus pen that can provide texture showed results closer to those of the analogue pen and paper, and better results than those of the typical stylus pen in respect of familiarity and overall satisfaction of the usability and emotional variables. Therefore, this study confirmed that user experience is improved when using a stylus pen that can provide the texture of pen and paper.

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Frequency Hopping and Parallel Driving With Random Delay Especially Suitable for the Charger Noise Problem in Mutual-Capacitive Touch Applications

2019

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Charger noise can cause inaccurate touch points and fake touch points to appear; this can cause a device to behave incorrectly. The intensity of charger noise could be much larger than the intensities of the original touch signals. Furthermore, the frequency of charger noise varies for each different charger. Therefore, industry experts have identified charger noise as the most difficult problem in capacitive touch applications. The demand for a solution to this problem has become crucial for the mobile market. In this paper, we prove that a particular combination of frequency hopping and repeated integration is an effective method to handle this problem. In addition, we propose an efficient discrete Fourier transform-based algorithm to select an effective sensing frequency. We propose parallel driving with random delay to enhance the signal-to-noise ratio (SNR). We show an efficient hardware-software co-design that facilitates the application of our methods in touch ICs. The experimental results show that our methods can increase SNR by over 45 dB and can find an effective sensing frequency fast and dynamically.INDEX TERMS Charger noise, parallel driving, frequency hopping, repeated integration, mutual-capacitive touch.

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Pressure Sensitive Stylus and Algorithm for Touchscreen Panel

Cited by 15 publications

References 11 publications

Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches

Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches

User Experience of a Stylus Pen That Can Provide the Texture of Pen and Paper

Frequency Hopping and Parallel Driving With Random Delay Especially Suitable for the Charger Noise Problem in Mutual-Capacitive Touch Applications

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