Touch screen sensor pdf




















Clear as glass, improves reading ability 2. Most durable surface. SAW touchscreen Principle Surface waves are readily absorbed when a soft object such as a fingertip touches the substrate. The touch screen controller sends an electrical signal to the transmitting transducer, which converts the signal into ultrasonic waves within the glass. When you touch the screen, you absorb a portion of the wave traveling across it.

The received signal is then compared to the stored digital map, the change recognized, and a coordinate calculate. SAW touchscreen 1. Characters: Characters: Durable glass construction 1. Durable glass construction High optical clarity clarity 2. High optical 3. Activated by a finger, Activated by a finger, gloved hand or soft gloved hand or soft tip tip 4. Not completely sealable, can be affected by can 4.

Unaffected by Surface contaminants. Polyester top sheet is easily scratched Polyester top sheet, glass substrate with ITO coating up to 19" Can use any pointing device. Multi-touch technology Multi-touch denotes a set of interaction techniques which allow computer users to ulti-touch denotes a set of interaction control graphical applications with several techniques which allow computer users to fingers.

Open navigation menu. Close suggestions Search Search. User Settings. Skip carousel. Carousel Previous. Carousel Next. What is Scribd? Explore Ebooks. Bestsellers Editors' Picks All Ebooks. Explore Audiobooks. Bestsellers Editors' Picks All audiobooks. Explore Magazines. Editors' Picks All magazines. Explore Podcasts All podcasts. Difficulty Beginner Intermediate Advanced. Explore Documents.

Touch Screen Sensor. Uploaded by Manoj Manu. Did you find this document useful? Is this content inappropriate? Report this Document. Flag for inappropriate content. Download now. Related titles. This technology identifies the movements in three dimensions without any need to touch the screen. The most important part of this system is sensors located near the screen. It detects the motion by making interaction in the line of sight that gets interrupted into on-screen movements. The operation of this system based on the recognition of optical pattern with the help of a solid state optical matrix sensor so that hand motions can be detected.

There is a connection of this sensor with digital image processor whose job is to interpret the motion pattern. It further sends the signals to the machinery, appliances, or device that can be controlled via electrical signals. The users only have to point at the screen that let them manipulate the objects. Also See: Cloud Computing ppt. There is no need for touching the screen that boosts the convenience among the users. They can complete the operations from a distance up to 5 feet from the device.

There is no need for any drivers in this system as it can work without them quite satisfactory. This technology lets the users have better control over the objects when compared to the others. Filho and E. On the equalization of F. Monrose and A. Authentication via keystroke keystroke timing histograms. El-Abed, and C. Greyc keystroke: on Computer and communications security, pages 48— A benchmark for keystroke dynamics biometric systems.

ACM, Obaidat and B. B Cybern, 27 2 , Keystroke PhoneArena. Samsung galaxy note Web-based K. Revett, S. On the benchmark for keystroke dynamics biometric systems: A use of rough sets for user authentication via keystroke statistical analysis. Lecture Notes in Computer Science, — conference, pages 11 — 15, Gunetti and C.

Keystroke analysis of free text. Rodrigues, G. Yared, C. Costa, J. Violaro, and L. Biometric access control through —, Tohoku Journal of Experimental , pages —, Medicine, pages —, Short, S. Hu, P. Gurram, and K. Exploit- J. An introduction to modern nonparametric ing polarization-state information for cross-spectrum face statistics. The American Statistician, Hocquet, J. Ramel, and H. In International pages 1 — 6, Conference on Biometrics ICB , pages —, Sun, H. Ceker, and S. Shared keystroke D.

Hosseinzadeh and S. Gaussian mixture model- dataset for continuous authentication. In IEEE ing of keystroke patterns for biometric applications. Jain, S. Pankanti, S. Prabhakar, L. Hong, and A. Tasia, T. Chang, P. Cheng, and J. Biometrics: A grand challenge. Joyce and G. Identity authentication based on Commun.



0コメント

  • 1000 / 1000