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Adversarial attacks against mouse- and keyboard-based biometric authentication: black-box versus domain-specific techniques
Adversarial attacks have recently gained popularity due to their simplicity, impact, and applicability to a wide range of machine learning scenarios....
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Understanding virtual drilling perception using sound, and kinesthetic cues obtained with a mouse and keyboard
This work examined whether a virtual drilling task can be appropriately simulated using combinations of sound, and kinesthetic stimuli obtained with...
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Machine learning-based novel continuous authentication system using soft keyboard ty** behavior and motion sensor data
Smartphones utilize various authentication methods, including passwords, fingerprints, and face recognition. While this information is quite...
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The QWERTY keyboard from the perspective of the Collingridge dilemma: lessons for co-construction of human-technology
According to the Collingridge dilemma, technology is easy to control when its consequences are not yet manifest; once they appear, the technology is...
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A Paper-Based Keyboard Using ArUco Codes: ArUco Keyboard
Object tracking in computer vision can be done either by using a marker-less or marker-based approach. Computer vision systems have been using...
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A Bimanual Flick-Based Japanese Software Keyboard Using Direct Kanji Input
Direct kanji input is a Japanese text input method that is totally different from kana-kanji conversion commonly used in Japan. Direct kanji input is...
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Defending AirType Against Inference Attacks Using 3D In-Air Keyboard Layouts: Design and Evaluation
Augmented reality (AR) interaction methods are leaning towards more natural techniques, such as voice commands, hand gestures, and in-air tap** for...
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Effect of the predictive keyboard with magnification and protrusion on the bare-hand input in virtual reality
Bare-hand input, advantaged as the natural interaction, is a promising way of text input in VR. The paper proposes the predictive next-letter...
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Designing a Pinyin-Based Keyboard Based on the Frequency of Pinyin of Chinese Characters
The existing Chinese Pinyin keyboard does not accurately reflect the features of Pinyin. By investigating the frequency of Pinyin letters, we have...
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Keyrtual: A Lightweight Virtual Musical Keyboard Based on RGB-D and Sensors Fusion
The digital world is becoming more and more part of our everyday life. Research groups and industries have been working for years to find innovative...
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Dwell-Free Ty** Using an EOG Based Virtual Keyboard
This work presents the development of an asynchronous dwell-free virtual keyboard application which can be operated using electrooculographic (EOG)...
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Mouse and Keyboard Actions
The previous chapter covered Python installation and configuration with Selenium to automate test cases. The basic web browser commands that are...
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Gesture objects detection and tracking for virtual text entry keyboard interface
Detection and tracking of the gesturing object is a vital stage in the field of dynamic gesture recognition. It becomes more challenging in the...
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Haptic Finger Glove for the VR Keyboard Input
With regards to use Virtual Reality headsets, people have many opportunities of key entry. However, current methods for key entry are suffering from...
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Studies of Keyboard Patterns in Passwords: Recognition, Characteristics and Strength Evolution
Keyboard patterns are widely used in password construction, as they can be easily memorized with the aid of positions on the keyboard. Consequently,...
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Dealing with Input Mode Confusion During Dual-Language Keyboard Use
Dual-language or multiple-language keyboards are widely used in many parts of the world, where users need to type in more than one scripts. During...
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The dynamic grou** keyboard: a general keyboard optimization approach for users with motor impairment
An important feature of software keyboards is its ability to flexibly adapt the interface. In this paper, we present the Dynamic Grou** Keyboard,...
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Using LSTM Models on Accelerometer Data to Improve Accuracy of Tap Strap 2 Wearable Keyboard
This paper proposes the implementation of three different long short-term memory (LSTM) recurrent neural network (RNN) models to improve the accuracy...