Touch Technologies Tutorial
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Neonode Inc. (NEON-OTC.BB)
Executive Informational Overview® Facts Without Fiction™ Neonode Inc. (NEON‐OTC.BB) Snapshot March 7, 2012 Neonode Inc. (“Neonode” or “the Company”) provides optical infrared† touchscreen solutions that make handheld to midsized consumer and industrial electronic devices touch sensitive. Neonode operates via a resource‐efficient technology licensing model where revenues are primarily generated through non‐exclusive, royalty‐based licenses to original equipment manufacturers (OEMs), original design manufacturers (ODMs), and component suppliers. The Company’s innovative touch technology, for which it holds multiple patents worldwide, is branded zForce®. With zForce®, Neonode seeks to rival low‐cost resistive touch technologies while outperforming today’s advanced capacitive touch solutions. To date, zForce® is employed in the Kindle Touch eReader from Amazon.com, Inc. and the Nook eReader from Barnes & Noble, Inc., as well as in eReaders from Sony Corp., Kobo Inc., and Koobe Inc. The Company has also licensed its display technology to ASUSTeK Computer Inc. and L&I Electronic Technology Co., Ltd (a joint venture between LG Display Co., Ltd and IRIVER Ltd), among other companies in the tablet PC, mobile phone, and automotive sectors. Neonode has headquarters in Sweden with development and sales offices in Santa Clara, California, and Korea. Corporate Headquarters Financial Data (NA Neonode Inc. Ticker (Exchange) NEON (OTC.BB) Recent Price (03/07/2012)* $3.97 Linnégatan 89, SE‐115 23 52‐week Range $2.50 ‐ $6.10 Stockholm, Sweden Shares Outstanding ~32.8 million Phone: +46 8 667 17 17 Market Capitalization ~$130 million www.neonode.com Average 3‐month Volume 98,030 Insider Owners +5% ~26% Institutional Owners** 6.24% EPS (Qtr. -
GRASP-SENSITIVE SURFACES Utilizing Grasp Information for Human-Computer Interaction
GRASP-SENSITIVE SURFACES Utilizing Grasp Information for Human-Computer Interaction DISSERTATION an der Fakultät für Mathematik, Informatik und Statistik der Ludwig-Maximilians-Universität München vorgelegt von Diplom-Medieninformatiker RAPHAEL WIMMER geboren am 26. Dezember 1980 in Bad Tölz München, den 19. Dezember 2014 iii Erstgutachter: Prof. Dr. Heinrich Hußmann, Ludwig-Maximilians-Universität München Zweitgutachter: Prof. Roderick Murray-Smith, PhD, University of Glasgow Tag der mündlichen Prüfung: 27. März 2015 iv Abstract v ABSTRACT Grasping objects with our hands allows us to skillfully move and manipulate them. Hand-held tools further extend our capabilities by adapting precision, power, and shape of our hands to the task at hand. Some of these tools, such as mobile phones or computer mice, already incorporate infor- mation processing capabilities. Many other tools may be augmented with small, energy- efficient digital sensors and processors. This allows for graspable objects to learn about the user grasping them - and supporting the user’s goals. For example, the way we grasp a mobile phone might indicate whether we want to take a photo or call a friend with it - and thus serve as a shortcut to that action. A power drill might sense whether the user is grasping it firmly enough and refuse to turn on if this is not the case. And a computer mouse could distinguish between intentional and unintentional movement and ignore the latter. This dissertation gives an overview of grasp sensing for human-computer interaction, focusing on technologies for building grasp-sensitive surfaces and challenges in design- ing grasp-sensitive user interfaces. It comprises three major contributions: a comprehensive review of existing research on human grasping and grasp sensing, a detailed description of three novel prototyping tools for grasp-sensitive surfaces, and a framework for analyzing and designing grasp interaction: For nearly a century, scientists have analyzed human grasping. -
A Review of Technologies for Sensing Contact Location on the Surface of a Display
A review of technologies for sensing contact location on the surface of a display Geoff Walker (SID Member) Abstract — Touchscreen interactive devices have become increasingly important in both consumer and commercial applications. This paper provides a broad overview of all touchscreen technologies in use today, organized into 13 categories with 38 variations. The 13 categories are projected capacitive, analog resistive, surface capacitive, surface acoustic wave, infrared, camera-based optical, liquid crystal display in-cell, bending wave, force sensing, planar scatter detection, vision-based, electromagnetic resonance, and combinations of technologies. The information provided on each touchscreen technology includes a little history, some basic theory of operation, the most common applications, the key advantages and disadvantages, a few current issues or trends, and the author’s opinion of the future outlook for the technology. Because of its dominance, this paper begins with projected capacitive; more information is provided on this technology than on any of the other touch technologies that are discussed. This paper covers only technologies that operate by contact with a display screen; this excludes technologies such as 3D gesture recognition, touch on opaque devices such as interactive whiteboards, and proximity sensing. This is not a highly technical paper; it sacrifices depth of information on any one technology for breadth of information on multiple technologies. Keywords — touch technologies; touchscreen; touch panel; projected capacitive; in-cell; on-cell. DOI # 10.1002/jsid.100 1 Introduction 1.1 Context Touchscreen interactive devices have become increasingly As shown in Fig. 1, analog resistive and p-cap touch important in both consumer and commercial applications, technologies dominate the touch landscape today. -
Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches
sensors Review Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches Hyoungsik Nam * , Ki-Hyuk Seol, Junhee Lee, Hyeonseong Cho and Sang Won Jung Department of Information Display, Kyung Hee University, Seoul 02447, Korea; [email protected] (K.-H.S.); [email protected] (J.L.); [email protected] (H.C.); [email protected] (S.W.J.) * Correspondence: [email protected]; Tel.: +82-2-961-0925 Abstract: 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. Keywords: touchscreen; capacitive; display; SNR; stylus; machine learning 1. Introduction Human beings collect a lot of information through their eyes, and many displays Citation: Nam, H.; Seol, K.-H.; Lee, around us play a key role to transfer this visual information. Displays have evolved dramat- J.; Cho, H.; Jung, S.W. Review of ically from cathode-ray tube (CRT) [1–4] via plasma display panel (PDP) [5–10] and liquid Capacitive Touchscreen Technologies: crystal display (LCD) [11–15] to cutting-edge organic light-emitting diode (OLED) [16–22] Overview, Research Trends, and and micro-LED technologies [23–28].