About: Touchscreen is a research topic. Over the lifetime, 4141 publications have been published within this topic receiving 67678 citations. The topic is also known as: touch screen.
TL;DR: In this paper, a system for and a method of providing an expandable home automation controller is disclosed which supports multiple numbers and multiple different types of data communications with both appliances and subsystems within the home as well as systems external to the home.
Abstract: A system for and a method of providing an expandable home automation controller is disclosed which supports multiple numbers and multiple different types of data communications with both appliances and subsystems within the home as well as systems external to the home. The system is based upon a central processor, such as a microprocessor-based computer, and is connected by means of a data bus to control the various products and subsystems within a home or commercial building, such as lighting systems, security systems, various sensors, multiple external terminals, as well as to allow for the input of commands by a variety of means such as touchscreens, voice recognition systems, telephones, custom switches or any device capable of providing an input to a computer system. The system functions can be readily controlled by the user utilizing a high resolution graphics display and associated touchscreen interface.
TL;DR: In this article, a method, memory, and apparatus, having at least a processor, memory and touchscreen, for creating a virtual pointing device is presented. But the method requires at least one finger placed on the pointing device.
Abstract: A method, memory, and apparatus, having at least a processor, memory, and touchscreen, for creating a virtual pointing device. The method includes the steps of displaying a non-activated virtual pointing device on the touchscreen, in response to detecting at least one finger placed on the virtual pointing device, activating the virtual pointing device, and moving the virtual pointing device in accordance with movement of the at least one finger.
TL;DR: A classification framework that learns the touch behavior of a user during an enrollment phase and is able to accept or reject the current user by monitoring interaction with the touch screen is proposed.
Abstract: We investigate whether a classifier can continuously authenticate users based on the way they interact with the touchscreen of a smart phone. We propose a set of 30 behavioral touch features that can be extracted from raw touchscreen logs and demonstrate that different users populate distinct subspaces of this feature space. In a systematic experiment designed to test how this behavioral pattern exhibits consistency over time, we collected touch data from users interacting with a smart phone using basic navigation maneuvers, i.e., up-down and left-right scrolling. We propose a classification framework that learns the touch behavior of a user during an enrollment phase and is able to accept or reject the current user by monitoring interaction with the touch screen. The classifier achieves a median equal error rate of 0% for intrasession authentication, 2%-3% for intersession authentication, and below 4% when the authentication test was carried out one week after the enrollment phase. While our experimental findings disqualify this method as a standalone authentication mechanism for long-term authentication, it could be implemented as a means to extend screen-lock time or as a part of a multimodal biometric authentication system.
TL;DR: OmniTouch is a wearable depth-sensing and projection system that enables interactive multitouch applications on everyday surfaces and is conceivable that anything one can do on today's mobile devices, they could do in the palm of their hand.
Abstract: OmniTouch is a wearable depth-sensing and projection system that enables interactive multitouch applications on everyday surfaces. Beyond the shoulder-worn system, there is no instrumentation of the user or environment. Foremost, the system allows the wearer to use their hands, arms and legs as graphical, interactive surfaces. Users can also transiently appropriate surfaces from the environment to expand the interactive area (e.g., books, walls, tables). On such surfaces - without any calibration - OmniTouch provides capabilities similar to that of a mouse or touchscreen: X and Y location in 2D interfaces and whether fingers are "clicked" or hovering, enabling a wide variety of interactions. Reliable operation on the hands, for example, requires buttons to be 2.3cm in diameter. Thus, it is now conceivable that anything one can do on today's mobile devices, they could do in the palm of their hand.
TL;DR: The addition of tactile feedback to the touchscreen significantly improved finger-based text entry, bringing it close to the performance of a real physical keyboard.
Abstract: This paper presents a study of finger-based text entry for mobile devices with touchscreens. Many devices are now coming to market that have no physical keyboards (the Apple iPhone being a very popular example). Touchscreen keyboards lack any tactile feedback and this may cause problems for entering text and phone numbers. We ran an experiment to compare devices with a physical keyboard, a standard touchscreen and a touchscreen with tactile feedback added. We tested this in both static and mobile environments. The results showed that the addition of tactile feedback to the touchscreen significantly improved finger-based text entry, bringing it close to the performance of a real physical keyboard. A second experiment showed that higher specification tactile actuators could improve performance even further. The results suggest that manufacturers should use tactile feedback in their touchscreen devices to regain some of the feeling lost when interacting on a touchscreen with a finger.