Eye tracker system for use with head mounted displays

Beach, Glenn; Cohen, Charles J.; Braun, Josef; Moody, Gary

doi:10.1109/icsmc.1998.727531

Cited by 27 publications

(15 citation statements)

References 2 publications

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“…In a laboratory that already has standard eye-tracking materials such as an eye tracker, a head rest, and monitors, the approximate price of the additional components required for this setup would approach US$1,000 (mirrors: $400; mirror holders: $150; fiberboard, glue, etc: $100; monitor arms: $300). This price compares favorably to some alternatives such as goggle systems (Beach et al 1998;J. Sommer, pers.…”

Section: Methodsmentioning

confidence: 99%

Eye tracking under dichoptic viewing conditions: a practical solution

Brascamp

Naber

2016

Behav Res

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In several research contexts it is important to obtain eye-tracking measures while presenting visual stimuli independently to each of the two eyes (dichoptic stimulation). However, the hardware that allows dichoptic viewing, such as mirrors, often interferes with high-quality eye tracking, especially when using a video-based eye tracker. Here we detail an approach to combining mirror-based dichoptic stimulation with video-based eye tracking, centered on the fact that some mirrors, although they reflect visible light, are selectively transparent to the infrared wavelength range in which eye trackers record their signal. Although the method we propose is straightforward, affordable (on the order of US$1,000) and easy to implement, for many purposes it makes for an improvement over existing methods, which tend to require specialized equipment and often compromise on the quality of the visual stimulus and/or the eye tracking signal. The proposed method is compatible with standard display screens and eye trackers, and poses no additional limitations on the quality or nature of the stimulus presented or the data obtained. We include an evaluation of the quality of eye tracking data obtained using our method, and a practical guide to building a specific version of the setup used in our laboratories.

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Section: Methodsmentioning

confidence: 99%

Eye tracking under dichoptic viewing conditions: a practical solution

Brascamp

Naber

2016

Behav Res

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“…The methods proposed in this paper are all based on HVS characteristics [27], [28], and, in particular, the well-known fact that visual attention can be classified into static attention [24] and dynamic (motion) attention [29]. However, as described in [22], DVS plays a critical role as well, e.g., a moving object against random texture background, although it attracts a high level of visual attention, can tolerate higher perceptual distortion than the same moving object against a nontextured background.…”

Section: Visually Perceptible Modelsmentioning

confidence: 99%

Adaptive Frequency Weighting for High-Performance Video Coding

Chen

Zheng²,

et al. 2012

IEEE Trans. Circuits Syst. Video Technol.

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The benefits of utilizing the spatial-frequency sensitivity of the human visual system in video coding have been known for decades and are incorporated into video standards, such as MPEG2, MPEG4, and H.264/AVC, as well as into still image-coding standards, such as JPEG and JPEG-2000. However, all of these standards utilize frequency weighting that is adaptive only at the picture level. In contrast with such picture-level adaptive frequency-weighting algorithms, we describe a coding approach in which a macroblock-level adaptive frequency-weighting (MBAFW) algorithm is used. We show that for the bitrate, quality levels, and resolutions typically associated with high-definition video, MBAFW can lead to overall bitrate reductions typically in the 5%-9% range over the methods used in state-of-the-art video-coding standards.Index Terms-Frequency weighting, human visual system (HVS), perceptual coding, quantization matrix.

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“…However, these interfaces are difficult to use in mobile environment or with a Head Mounted Display (HMD) environment. One of alternative pointing devices is an eye tracker that acquires the point on the screen where the user gazes on [1][2][3]. Infrared light is commonly used in the eye tracker because it eliminates the influence of ambient illumination and improves discrepancy between the pupil and the white of the eye [4].…”

Section: Introductionmentioning

confidence: 99%

Single-Chip Eye Tracker Using Smart CMOS Image Sensor Pixels

Kim

Lim

Han

2005

Analog Integr Circ Sig Process

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The eye tracker is a system that detects the point where the user gazes on. The conventional eye tracker using a Charge-Coupled Device (CCD) camera needs many peripherals and software computation causing high cost, computation time and power consumption. This paper proposes a single-chip eye tracker using smart CMOS Image Sensor (CIS) pixels. The proposed eye tracker does not require additional peripherals and operates at higher speed than the conventional approach. The prototype chip was designed and fabricated for a 32 × 32 smart CIS pixels array with a 0.35-µm CMOS process. The test results show ±1 pixel error at the rate of 125 frame-per-second. The power consumption is 260 mW with 3.3 V supply voltage and the silicon area is 3.8 mm 2 .

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Eye tracker system for use with head mounted displays

Cited by 27 publications

References 2 publications

Eye tracking under dichoptic viewing conditions: a practical solution

Eye tracking under dichoptic viewing conditions: a practical solution

Adaptive Frequency Weighting for High-Performance Video Coding

Single-Chip Eye Tracker Using Smart CMOS Image Sensor Pixels

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