A pivotable head mounted camera system that is aligned by three-dimensional eye movements

Wagner, Philipp; Bartl, Klaus; Günthner, W. A.; Schneider, Erich; Brandt, Thomas; Ulbrich, H.

doi:10.1145/1117309.1117354

Cited by 18 publications

(9 citation statements)

References 14 publications

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“…Although considerable research exists in eye tracking [3], [6], [9], [10], none has evaluated eye tracking with the ISO 9241 Ergonomic requirements for office work with visual display terminals (VDTs) -Part 9: Requirements for non-keyboard input devices. ISO 9241-9 establishes uniform guidelines and testing procedures for evaluating computer pointing devices.…”

Section: Introduction Iso 924-partmentioning

confidence: 99%

Evaluating Eye Tracking with ISO 9241 - Part 9

Zhang

MacKenzie

2007

Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments

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Abstract. The ISO 9241-9 standard for computer pointing devices proposes an evaluation of performance and comfort [4]. This paper is the first eye tracking evaluation conforming to ISO 9241-9. We evaluated three techniques and compared them with a standard mouse. The evaluation used throughput (in bits/s) as a measurement of user performance in a multi-directional point-select task. The "Eye Tracking Long" technique required participants to look at an onscreen target and dwell on it for 750 ms for selection. Results revealed a lower throughput than for the "Eye Tracking Short" technique with a 500 ms dwell time. The "Eye+Spacebar" technique allowed participants to "point" with the eye and "select" by pressing the spacebar upon fixation. This eliminated the need to wait for selection. It was the best among the three eye tracking techniques with a throughput of 3.78 bits/s, which was close to the 4.68 bits/s for the mouse.

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Section: Introduction Iso 924-partmentioning

confidence: 99%

Evaluating Eye Tracking with ISO 9241 - Part 9

Zhang

MacKenzie

2007

Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments

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“…The average precision of the motors moving the HeadCam is 0.09° RMS. The precision of the whole device, including eye‐position measurement and slippage of the HeadCam is—measured in a stationary laboratory setup—0.5° RMS 34 …”

Section: Methodsmentioning

confidence: 99%

Eye–Head Coordination during Free Exploration in Human and Cat

Einhäuser

Moeller

Schumann

et al. 2009

Annals of the New York Academy of Sciences

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Eye, head, and body movements jointly control the direction of gaze and the stability of retinal images in most mammalian species. The contribution of the individual movement components, however, will largely depend on the ecological niche the animal occupies and the layout of the animal's retina, in particular its photoreceptor density distribution. Here the relative contribution of eye-in-head and head-in-world movements in cats is measured, and the results are compared to recent human data. For the cat, a lightweight custom-made head-mounted video setup was used (CatCam). Human data were acquired with the novel EyeSeeCam device, which measures eye position to control a gaze-contingent camera in real time. For both species, analysis was based on simultaneous recordings of eye and head movements during free exploration of a natural environment. Despite the substantial differences in ecological niche, photoreceptor density, and saccade frequency, eye-movement characteristics in both species are remarkably similar. Coordinated eye and head movements dominate the dynamics of the retinal input. Interestingly, compensatory (gaze-stabilizing) movements play a more dominant role in humans than they do in cats. This finding was interpreted to be a consequence of substantially different timescales for head movements, with cats' head movements showing about a 5-fold faster dynamics than humans. For both species, models and laboratory experiments therefore need to account for this rich input dynamic to obtain validity for ecologically realistic settings.

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“…A parallel camera motion device that is extremely small and lightweight is described in [7]. An advanced version of this motion device has been developed recently and can be found in [8]. However, these systems are too small to move the camera that will be used in the present application.…”

Section: General System Descriptionmentioning

confidence: 99%

A Motion Device for a Stabilized Vehicle Camera System with Control Parameter Optimization

Wagner

Günthner

Ulbrich

2006

2006 IEEE International Symposium on Industrial Electronics

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Stable image processing often needs movable camera systems. Either the camera has to be steered into desired gaze directions, for example during the tracking of objects, or an inertially stabilized camera image is needed as a basis for robust image processing algorithms. In many applications combinations of both situations are possible. In this work the design and implementation of a camera motion device that serves as an experimental platform for laboratory purposes as well as a prototype of a stabilized vehicle camera is presented. In the vehicle application, the inertial stabilized camera is the basis for different driving assistance systems based on robust optical scene interpretation. For the inertial stabilization of the camera, the human gaze stabilization system has been used as a pattern. An approach to an optimal regulation tuning for the device in the given application during typical operation is described. The results of the optimization are presented. The optimized system has been validated during test drives.

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A pivotable head mounted camera system that is aligned by three-dimensional eye movements

Cited by 18 publications

References 14 publications

Evaluating Eye Tracking with ISO 9241 - Part 9

Evaluating Eye Tracking with ISO 9241 - Part 9

Eye–Head Coordination during Free Exploration in Human and Cat

A Motion Device for a Stabilized Vehicle Camera System with Control Parameter Optimization

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