A blueprint for integrated eye-controlled environments

Bonino, Dario; Castellina, Emiliano; Corno, Fulvio; Gale, Alastair G.; Garbo, Alessandro; Purdy, Kevin; Shi, Fangmin

doi:10.1007/s10209-009-0145-4

Cited by 8 publications

(4 citation statements)

References 13 publications

(6 reference statements)

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“…It allows interaction when the users gaze falls on a smart device. Authors in [12] presented another gazebased system for home automation. They compared "direct" and "mediated" interaction solutions.…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of Interaction between Smart Glasses and Smart Objects Using Image-Based Object Identification

Rumiński

Bujnowski

Kocejko

et al. 2016

International Journal of Distributed Sensor Networks

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We propose the use of smart glasses to collaborate with smart objects in the Internet of Things environment. Particularly we are focusing on new interaction methods and the analysis of acceptable reaction times in the process of object recognition using smart glasses. We evaluated the proposed method using user studies and experiments with three different smart glasses: Google Glass, Epson Moverio, and the developed eGlasses platform. We conclude that using the proposed method it is possible to recognize objects and process information allowing object detection below the average acceptance response times specified by almost all participants in the user study. Additionally, we showed that eye-tracking can be used for simple interaction between a user and a graphical user interface presented in the near-to-eye display.

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Section: Introductionmentioning

confidence: 99%

“…Objects are often identified using RFID-tags [9,10] or using head-mounted sensors [11]. Some authors propose using object identification methods based on graphical features using cameras [12,13] and smartphones [14]. Different local detectors and descriptors were used for object detection in the context of interaction with smart objects.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Interaction between Smart Glasses and Smart Objects Using Image-Based Object Identification

Rumiński

Bujnowski

Kocejko

et al. 2016

International Journal of Distributed Sensor Networks

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show abstract

“…There are some related works that also integrate the object recognition system with an eye tracking application, such as [Ishiguro et al 2010;Bonino et al 2009]. However, the evaluation of the benefits of the integration is not discussed deeply in these previous works.…”

Section: Introductionmentioning

confidence: 99%

Gaze guided object recognition using a head-mounted eye tracker

Toyama

Kieninger

Dengel

2012

Proceedings of the Symposium on Eye Tracking Research and Applications

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Wearable eye trackers open up a large number of opportunities to cater for the information needs of users in today's dynamic society. Users no longer have to sit in front of a traditional desk-mounted eye tracker to benefit from the direct feedback given by the eye tracker about users' interest. Instead, eye tracking can be used as a ubiquitous interface in a real-world environment to provide users with supporting information that they need. This paper presents a novel application of intelligent interaction with the environment by combining eye tracking technology with real-time object recognition. In this context we present i) algorithms for guiding object recognition by using fixation points ii) algorithms for generating evidence of users' gaze on particular objects iii) building a next generation museum guide called Museum Guide 2.0 as a prototype application of gaze-based information provision in a real-world environment. We performed several experiments to evaluate our gazebased object recognition methods. Furthermore, we conducted a user study in the context of Museum Guide 2.0 to evaluate the usability of the new gaze-based interface for information provision. These results show that an enormous amount of potential exists for using a wearable eye tracker as a human-environment interface.

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“…For example, a control application based on gaze and eye tracking is described in [2] and [3]. This paper presents the results of an R&D project that uses Virtual Reality environments to create a 3D interface for residential gateways.…”

Section: Introductionmentioning

confidence: 99%