» Articles » PMID: 25298966

Nonwearable Gaze Tracking System for Controlling Home Appliance

Overview
Publisher Wiley
Specialty Biology
Date 2014 Oct 10
PMID 25298966
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

A novel gaze tracking system for controlling home appliances in 3D space is proposed in this study. Our research is novel in the following four ways. First, we propose a nonwearable gaze tracking system containing frontal viewing and eye tracking cameras. Second, our system includes three modes: navigation (for moving the wheelchair depending on the direction of gaze movement), selection (for selecting a specific appliance by gaze estimation), and manipulation (for controlling the selected appliance by gazing at the control panel). The modes can be changed by closing eyes during a specific time period or gazing. Third, in the navigation mode, the signal for moving the wheelchair can be triggered according to the direction of gaze movement. Fourth, after a specific home appliance is selected by gazing at it for more than predetermined time period, a control panel with 3 × 2 menu is displayed on laptop computer below the gaze tracking system for manipulation. The user gazes at one of the menu options for a specific time period, which can be manually adjusted according to the user, and the signal for controlling the home appliance can be triggered. The proposed method is shown to have high detection accuracy through a series of experiments.

Citing Articles

Fuzzy System-Based Target Selection for a NIR Camera-Based Gaze Tracker.

Naqvi R, Arsalan M, Park K Sensors (Basel). 2017; 17(4).

PMID: 28420114 PMC: 5424739. DOI: 10.3390/s17040862.


Compensation Method of Natural Head Movement for Gaze Tracking System Using an Ultrasonic Sensor for Distance Measurement.

Jung D, Lee J, Gwon S, Pan W, Lee H, Park K Sensors (Basel). 2016; 16(1).

PMID: 26784206 PMC: 4732143. DOI: 10.3390/s16010110.


A new gaze estimation method considering external light.

Lee J, Lee H, Gwon S, Jung D, Pan W, Cho C Sensors (Basel). 2015; 15(3):5935-81.

PMID: 25769050 PMC: 4435212. DOI: 10.3390/s150305935.

References
1.
Pinheiro Jr C, Naves E, Pino P, Losson E, Andrade A, Bourhis G . Alternative communication systems for people with severe motor disabilities: a survey. Biomed Eng Online. 2011; 10:31. PMC: 3103465. DOI: 10.1186/1475-925X-10-31. View

2.
Lee J, Heo H, Park K . A novel gaze tracking method based on the generation of virtual calibration points. Sensors (Basel). 2013; 13(8):10802-22. PMC: 3812629. DOI: 10.3390/s130810802. View

3.
Gwon S, Cho C, Lee H, Lee W, Park K . Gaze tracking system for user wearing glasses. Sensors (Basel). 2014; 14(2):2110-34. PMC: 3958289. DOI: 10.3390/s140202110. View

4.
Sesin A, Adjouadi M, Cabrerizo M, Ayala M, Barreto A . Adaptive eye-gaze tracking using neural-network-based user profiles to assist people with motor disability. J Rehabil Res Dev. 2008; 45(6):801-17. DOI: 10.1682/jrrd.2007.05.0075. View

5.
Lee H, Lee W, Cho C, Gwon S, Park K, Lee H . Remote gaze tracking system on a large display. Sensors (Basel). 2013; 13(10):13439-63. PMC: 3859072. DOI: 10.3390/s131013439. View