Towards keyboard independent touch typing in VR

Kuester, Falko; Chen, Michelle; Phair, Mark E.; Mehring, Carsten

doi:10.1145/1101616.1101635

Cited by 46 publications

(26 citation statements)

References 4 publications

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“…This holds especially if precise or numeric input is needed. Current strategies to achieve such input are to provide the user with some portable keypad device, such as the Twiddler [Lyons et al 2004] and the Half-QWERTY [Matias et al 1993] keyboards, or to map the touch positions on a pinch glove to characters and functions [Bowman and Wingrave 2001;Kuester et al 2005], or to use a gesture-based sign language [Vardy et al 1999]. …”

Section: Introductionmentioning

confidence: 99%

DigiTap

Prätorius

Valkov

Burgbacher

et al. 2014

Proceedings of the 20th ACM Symposium on Virtual Reality Software and Technology

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In this paper we present DigiTap-a wrist-worn device specially designed for symbolic input in virtual and augmented reality (VR/AR) environments. DigiTap is able to robustly sense thumb-to-finger taps on the four fingertips and the eight minor knuckles. These taps are detected by an accelerometer, which triggers capturing of an image sequence with a small wrist-mounted camera. The tap position is then extracted with low computational effort from the images by an image processing pipeline. Thus, the device is very energy efficient and may potentially be integrated in a smartwatch-like device, allowing an unobtrusive, always available, eyes-free input. To demonstrate the feasibility of our approach an initial user study with our prototype device was conducted. In this study the suitability of the twelve tapping locations was evaluated, and the most prominent sources of error were identified. Our prototype system was able to correctly classify 92 % of the input locations.

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Section: Introductionmentioning

confidence: 99%

DigiTap

Prätorius

Valkov

Burgbacher

et al. 2014

Proceedings of the 20th ACM Symposium on Virtual Reality Software and Technology

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“…While imaginary interfaces as originally proposed required an infrared camera [5], interaction on the palm opens up other sensing options, such as gloves [11], Skinput [6] or depth cameras. We chose to use a time-of-flight depth camera, because unlike other approaches, it supports interaction with empty hands and allows for dragging interaction.…”

Section: Sensing Hardwarementioning

confidence: 99%

Imaginary phone

Gustafson

Holz

Baudisch

2011

Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology

119

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We propose a method for learning how to use an imaginary interface (i.e., a spatial non-visual interface) that we call "transfer learning". By using a physical device (e.g. an iPhone) a user inadvertently learns the interface and can then transfer that knowledge to an imaginary interface. We illustrate this concept with our Imaginary Phone prototype. With it users interact by mimicking the use of a physical iPhone by tapping and sliding on their empty non-dominant hand without visual feedback. Pointing on the hand is tracked using a depth camera and touch events are sent wirelessly to an actual iPhone, where they invoke the corresponding actions. Our prototype allows the user to perform everyday task such as picking up a phone call or launching the timer app and setting an alarm. Imaginary Phone thereby serves as a shortcut that frees users from the necessity of retrieving the actual physical device.

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“…Because the device is based on the user's existing knowledge, the interaction can be learned quickly and easily. Other connections on the fingernails and sides of the fingers allow for more complex data entry including numbers and special characters [2]. Argot ( Figure 1) employs features similar to the KITTY design, most significantly the concept of electrical contacts between fingers being used in place of buttonpresses.…”

Section: Introductionmentioning

confidence: 99%

Argot

Peshock

Duvall

Dunne

2014

Proceedings of the 2014 ACM International Symposium on Wearable Computers: Adjunct Program

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The Argot glove is a one-handed, wearable input device that allows a user to type all English letters, numbers, and symbols without use of a traditional keyboard. The device design considers variables and constraints such as dexterity, feedback, mobility, learnability, speed of input, errors and false inputs, permanence, and comfort, as well as previous user knowledge. The glove design was informed by experimental investigations aimed at balancing tradeoffs between physical variables (reach, dexterity, haptics) and cognitive variables (learnability, text-entry method). It uses weak magnetic interactions during "key" presses to provide passive haptic feedback and reduce the need for precision in proprioceptive hand positioning.

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Towards keyboard independent touch typing in VR

Cited by 46 publications

References 4 publications

DigiTap

DigiTap

Imaginary phone

Argot

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