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.
Thumb-to-finger tap interaction can be employed to perform eyes-free, discrete, symbolic input in virtual and augmented reality environments. The DigiTap device is worn on the wrist to keep the hand free from any instrumentation so as not to impair tactile sense and dexterity. DigiTap senses the jerk that is caused by a tap and takes an image sequence to detect the tap location. The device can recognize taps at 12 different locations on the fingers, and at some positions, it can even distinguish between different tap strengths. The authors conducted an extended user study to evaluate users' abilities to interact with the device and perform symbolic input.
Abstract. In this paper we propose SkInteract, a system for on-body interaction utilizing the diverse texture of the human skin. We use an area fingerprint sensor to capture images and locate the corresponding area within a previously created map of the skin surface. In addition to the location of the sensor it is possible to calculate its orientation with respect to the reference map. This allows to assign arbitrary semantics to areas of the user's skin and to use the rotation as an additional input modality. In order to evaluate the feasibility of SkInteract a user study with a preliminary prototype was conducted. We propose two different interaction concepts which are based on either attaching a fixed sensor to a wearable device or using a moveable sensor, for instance attached to a pen, to perform on-body input.
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