A novel device for head gesture measurement system in combination with eye-controlled human–machine interface

Lin, Chern‐Sheng; Ho, Chien-Wa; Chang, Kai‐Fu; Hung, San-Shan; Shei, Hung-Jung; Yeh, Mau‐Shiun

doi:10.1016/j.optlaseng.2005.06.005

Cited by 15 publications

(2 citation statements)

References 13 publications

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“…New applications involving human-machine interfaces are under development in hospital operating rooms, airplane cockpits, or industrial control units [6], [7], [8], [9], [4]. Eye gaze estimation as well as face detection techniques are being developed for robot learning and human gesture recognition [10], [11], [12], [13], [14]. Eye gaze estimation is also being used in online or virtual learning environments [15].…”

Section: Introductionmentioning

confidence: 99%

Illumination compensation for face recognition by genetic optimization of the Self-Quotient Image method

Perez

Castillo

2009

2009 International Symposium on Optomechatronic Technologies

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Face detection and recognition depend strongly on illumination conditions. In this paper, we present improvements in the illumination compensation method called Self Quotient Image (SQI) applied to face recognition. Using genetic algorithms (GA) we select parameters of the SQI method to improve face recognition. The parameters optimized by the GA were: the fraction of the mean value within the region for the SQI, selection of Arctangent, Sigmoid, Hyperbolic Tangent or Minimum functions, and the values for the weights of each filter are selected within the range 0 and 1. We compare results of our proposed method to those with no illumination compensation and to those previously published for SQI method. We use four internationally available face databases: Yale B, CMU PIE, AR, Color FERET (grayscaled), where the first two contain face images with significant changes in illumination conditions, and the third one contains face images with slight changes in illumination conditions. Our method performs better than SQI in images with non-homogeneous illumination.

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Section: Introductionmentioning

confidence: 99%

Illumination compensation for face recognition by genetic optimization of the Self-Quotient Image method

Perez

Castillo

2009

2009 International Symposium on Optomechatronic Technologies

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“…With these kinds of tools handicapped people can carry out next to normal lives and in some cases without the help of others. The project presented in [6] is a computer system that can effectively control a wheelchair with the eyes, or more specifically by using oculographic and eye-tracking techniques [22,21] to control the wheelchair analyzing the eye movements. On the other hand, a computer system known as HeadDev developed a facial mouse [8].…”

Section: Introductionmentioning

confidence: 99%

An independent and non-intrusive laser pointer environment control device system

Chávez

Vega

Olague³

et al. 2008

Proceedings of the 5th International Conference on Pervasive Services

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In this paper we present a system developed to control a computer environment for the handicapped by means of a laser pointer. The system looks for a laser spot position which is projected on the environment by using a laser pointer. Handicapped people can thus select the device they want by using the laser pointer. Once the laser spot is found, the device is controlled by means of a domotic system, using KNX architecture. We have developed a system that is able to recognize and act on the device that the handicapped person wants to use.

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Real-Time Eye-Interaction System Developed with Eye Tracking Glasses and Motion Capture

Bao

Fang

Guo

et al. 2017

Advances in Human Factors in Wearable Technologies and Game Design

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A novel device for head gesture measurement system in combination with eye-controlled human–machine interface

Cited by 15 publications

References 13 publications

Illumination compensation for face recognition by genetic optimization of the Self-Quotient Image method

Illumination compensation for face recognition by genetic optimization of the Self-Quotient Image method

An independent and non-intrusive laser pointer environment control device system

Real-Time Eye-Interaction System Developed with Eye Tracking Glasses and Motion Capture

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