iCam: Precise at-a-Distance Interaction in the Physical Environment

Patel, Shwetak; Rekimoto, Jun; Abowd, Gregory D.

doi:10.1007/11748625_17

Cited by 14 publications

(5 citation statements)

References 23 publications

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“…Close to earlier mentioned collaborative applications like games and planning are AR tools that support education with 3D objects. Many studies research this area of application [30,39,70,74,93,121].…”

Section: Education and Trainingmentioning

confidence: 99%

A Survey of Augmented Reality Technologies, Applications and Limitations

Krevelen

Poelman

2010

IJVR

1,262

392

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Section: Education and Trainingmentioning

confidence: 99%

A Survey of Augmented Reality Technologies, Applications and Limitations

Krevelen

Poelman

2010

IJVR

1,262

392

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“…Several other examples of intelligent pointing devices exist, such as Patel and Abowd's iCam augmented reality system [12]. In this work, users could virtually annotate an environment using a handheld computer containing a laser pointer, camera, and sensors that determined the computer's position relative to a localization system installed in the environment.…”

Section: Related Workmentioning

confidence: 99%

A clickable world: Behavior selection through pointing and context for mobile manipulation

Nguyen¹,

Jain²,

Anderson³

et al. 2008

2008 IEEE/RSJ International Conference on Intelligent Robots and Systems

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We present a new behavior selection system for human-robot interaction that maps virtual buttons overlaid on the physical environment to the robot's behaviors, thereby creating a clickable world. The user clicks on a virtual button and activates the associated behavior by briefly illuminating a corresponding 3D location with an off-the-shelf green laser pointer. As we have described in previous work, the robot can detect this click and estimate its 3D location using an omnidirectional camera and a pan/tilt stereo camera. In this paper, we show that the robot can select the appropriate behavior to execute using the 3D location of the click, the context around this 3D location, and its own state. For this work, the robot performs this selection process using a cascade of classifiers.We demonstrate the efficacy of this approach with an assistive object-fetching application. Through empirical evaluation, we show that the 3D location of the click, the state of the robot, and the surrounding context is sufficient for the robot to choose the correct behavior from a set of behaviors and perform the following tasks: pick-up a designated object from a floor or table, deliver an object to a designated person, place an object on a designated table, go to a designated location, and touch a designated location with its end effector.

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“…Mobile augmented reality is a manual approach. In CAMAR [20] and iCam [17], the space is able to track the pose (i.e., location and heading) of a mobile device. With this pose data, it is possible to determine the location of an object using the mobile screen (users can collect the locations from the mobile screen).…”

Section: Registration Of Object Locationsmentioning

confidence: 99%

A location-sensitive visual interface on the palm: interacting with common objects in an augmented space

Kim

Takahashi

Tanaka

2014

Pers Ubiquit Comput

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We have created a visual interface using the human palm that is location-sensitive and always available. To accomplish this, we constructed an augmented space in an actual workspace by installing several depth cameras. To manage and connect the multiple depth cameras, we constructed a distributed system based on scalable client-server architecture. By merging depth images from different cameras, the distributed system can track the locations of users within their area of coverage. The system also has a convenient feature that allows users to collect the locations of objects while visualizing the objects via images from the depth cameras. Consequently, the locations of both users and objects are available to the system, thus providing a locationbased context for determining which user is close to which object. As a result, the visual interface on the palm becomes location-sensitive, which could lead to various applications in daily life. In this paper, we describe the implementation of the aforementioned system, and demonstrate its potential applicability.

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iCam: Precise at-a-Distance Interaction in the Physical Environment

Cited by 14 publications

References 23 publications

A Survey of Augmented Reality Technologies, Applications and Limitations

A Survey of Augmented Reality Technologies, Applications and Limitations

A clickable world: Behavior selection through pointing and context for mobile manipulation

A location-sensitive visual interface on the palm: interacting with common objects in an augmented space

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