外文翻译---利用基于手指跟踪技术的多点触摸桌面增强多用户交互体验

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1、PDF外文：http:/  A 翻译原文  翻译原文：  Enhancing Multi-user Interaction with Multi-touch Tabletop Displays Using Hand Tracking K.C. Dohse 1, Thomas Dohse 2, Jeremiah D. Still 1, Derrick J. Parkhurst 13 Human Computer Interaction Program 1, Computer Science Department 2, Psychology Department &n

2、bsp;Iowa State University   kcd | dohse | derrick | jeremiah iastate.edu Abstract A rear-projection multi-touch tabletop display was augmented with hand tracking utilizing computer vision techniques. While both touch detection and hand tracking can be independently useful for achieving interact

3、ion with tabletop displays, these techniques are not reliable when multiple users in close proximity simultaneously interact with the display. To solve this problem, we combine touch detection and hand tracking techniques in order to allow multiple users to simultaneously interact with the display w

4、ithout interference. Our hope is that by considering activities occurring on and above a tabletop display, multiuser interaction will become more natural and useful, which should ultimately support collaborative work. 1. Introduction Large displays are useful for information visualization when multi

5、ple people must jointly use the information to work together and accomplish a single goal. The social interactions that result from using a shared display can be highly valuable 1. However, these displays can fail to allow multiple users to simultaneously interact with the information.  Tableto

6、p interfaces can provide a large shared display while simultaneously accepting natural and direct interaction from multiple users through touch detection. For example, multi-touch surfaces that utilize the phenomenon of frustrated total internal reflection (FTIR) have received widespread attention r

7、ecently 2. FTIR detection techniques allow the system to track a large number of simultaneous touch points with very high spatial and temporal frequency. The FTIR has several advantages over other multi-touch detection technologies, such as being both low cost and scalable 3. Other computer vision b

8、ased tracking systems have a limited ability to detect touches versus near touches which is an important element of interacting with the table surface. FTIR tracking alone has two shortcomings compared to other methods of touch tracking. Each touch in FTIR appears as an independent event. Although i

9、nferences based on distance between touch points can be leveraged to guess which touches are part of the same event, each touch ultimately remains a standalone piece of data. As the number of users and complexity of their actions increases, so does the probability of incorrectly grouping touch point

10、s with a single user. The other issue is that the system is inherently susceptible to problems with spurious IR noise (e.g. poor lighting conditions or flash photography).  To solve lighting and touch differentiation problems, we augmented a FTIR tabletop display with an overhead camera. Using

11、the camera, hands on or over the table can be tracked using skin color segmentation techniques. With hand coordinates available, touch points can be assigned the ownership necessary to support multiple users and correctly identify events comprised of multiple touches. This technique works well even

12、when gestures are made by multiple users in close proximity because it does not need to differentiate touches based on closeness. The fusion of hand and touch point locations also increases the robustness of touch sensing in the presence of unwanted IR light because of the redundancy of the points l

13、ocation.  Additionally, tracking hands allows users to generate interactions without touching the surface, but rather making movements above the table. This creates a hybridization of the two interaction techniques that is still being explored.   Figure A1: Three users working together usi

14、ng a rear-projection multi-touch tabletop display augmented with hand tracking using an overhead camera. 2. Related Work  Techniques and technologies used for interaction detection on tabletop displays are rapidly maturing, but many researchers are still seeking better methods for capturing nat

15、ural interactions made by multiple users within the context of real world applications. There are a number of approaches to tracking user interactions with a tabletop display. One successful method is to use a surface material that is laden with sensors, such as the commercially available DiamondTou

16、ch system. This system uses a technique where a circuit is capacitively closed when the user touches the table 4. Interfaces like this one use front projection due to the opaque surface needed for the sensors. Other systems such as the metaDESK also use sensors, but integrate them in physical object

17、s that can be manipulated 5.  Another common approach is to use video cameras to track interactions. For example, the HoloWall uses a semi-opaque diffuser that allows infrared (IR) light projected from behind the screen to reflect off of objects at a certain distance from the surface 6. The Tou

18、chLight interface uses two IR cameras to determine when contact with the screen has occurred 7. Other projection based systems, like the ViCat use overhead cameras to track hand gestures 8. This table does not use physical touches on the surface, but uses an overhead camera to track hand gestures in order to interact with the display.  Work is also being done to improve the nature of multi-touch interaction. These areas of research are equally vital to the field as designing new systems to support