Literature DB >> 21632308

A wearable, wireless gaze tracker with integrated selection command source for human-computer interaction.

Ville Rantanen1, Toni Vanhala, Outi Tuisku, Pekka-Henrik Niemenlehto, Jarmo Verho, Veikko Surakka, Martti Juhola, Jukka Lekkala.   

Abstract

A light-weight, wearable, wireless gaze tracker with integrated selection command source for human-computer interaction is introduced. The prototype system combines head-mounted, video-based gaze tracking with capacitive facial movement detection that enable multimodal interaction by gaze pointing and making selections with facial gestures. The system is targeted mainly to disabled people with limited mobility over their hands. The hardware was made wireless to remove the need to take off the device when moving away from the computer, and to allow future use in more mobile contexts. The algorithms responsible for determining the eye and head orientations to map gaze direction to on-screen coordinates are presented together with the one to detect movements from the measured capacitance signal. Point-and-click experiments were conducted to assess the performance of the multimodal system. The results show decent performance in laboratory and office conditions. The overall point-and-click accuracy in the multimodal experiments is comparable to the errors in previous research on head-mounted, single modality gaze tracking that does not compensate for changes in head orientation.

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Year:  2011        PMID: 21632308     DOI: 10.1109/TITB.2011.2158321

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  4 in total

1.  Toward increased autonomy in the surgical OR: needs, requests, and expectations.

Authors:  Michael Kranzfelder; Christoph Staub; Adam Fiolka; Armin Schneider; Sonja Gillen; Dirk Wilhelm; Helmut Friess; Alois Knoll; Hubertus Feussner
Journal:  Surg Endosc       Date:  2012-12-13       Impact factor: 4.584

2.  Automatic Calibration Method for Driver's Head Orientation in Natural Driving Environment.

Authors:  Xianping Fu; Xiao Guan; Eli Peli; Hongbo Liu; Gang Luo
Journal:  IEEE trans Intell Transp Syst       Date:  2012-09-21       Impact factor: 6.492

3.  iShadow: Design of a Wearable, Real-Time Mobile Gaze Tracker.

Authors:  Addison Mayberry; Pan Hu; Benjamin Marlin; Christopher Salthouse; Deepak Ganesan
Journal:  MobiSys       Date:  2014-06

4.  Deep Learning-Based Gaze Detection System for Automobile Drivers Using a NIR Camera Sensor.

Authors:  Rizwan Ali Naqvi; Muhammad Arsalan; Ganbayar Batchuluun; Hyo Sik Yoon; Kang Ryoung Park
Journal:  Sensors (Basel)       Date:  2018-02-03       Impact factor: 3.576

  4 in total

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