Line of Sight Estimation Accuracy Improvement using Depth Image and Ellipsoidal Model of Cornea Curvature
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 5
Abstract
Line of sight estimation accuracy improvement is attempted using depth image (distance between user and display) and ellipsoidal model (shape of user’s eye) of cornea curvature. It is strongly required to improve line of sight estimation accuracy for perfect computer input by human eyes only. The conventional method for line of sight estimation is based on the approximation of cornea shape with ellipse function in the acquired eye image. The proposed estimation method is based on the approximation of crystalline lenses and cornea with ellipsoidal function. Therefore, much accurate approximation can be performed by the proposed method. Through experiments, it is found that depth images are useful for improvement of the line of sight estimation accuracy.
Authors and Affiliations
Kohei Arai, Kohya Iwamura
Keywords
Related Articles
- EP ID EP259152
- DOI 10.14569/IJACSA.2017.080568
- Views 66
- Downloads 0
Modeling Access Control Policy of a Social Network
Social networks bring together users in a virtual platform and offer them the ability to share -within the Community- personal and professional information’s, photos, etc. which are sometimes sensitive. Although, the maj...
A Neural Network System for Detection of Obstructive Sleep Apnea Through SpO2 Signal Features
Obstructive sleep apnea (OSA) is a common disorder in which individuals stop breathing during their sleep. These episodes last 10 seconds or more and cause oxygen levels in the blood to drop. Most of sleep apnea c...
Hybrid Multi-faceted Computational Trust Model for Online Social Network (OSN)
Online Social Network (OSN) is an online social platform that enables people to exchange information, get in touch with family members or friends, and also helps as a marketing tool. However, OSN suffers from various sec...
Factors Influencing Users’ Intentions to Use Mobile Government Applications in Saudi Arabia: TAM Applicability
M-government applications in Saudi Arabia are still at an early stage. In this study, a modified technology acceptance model (TAM) was used to identify and measure the factors that influence users’ intentions to use m-go...
Efficient Key Agreement and Nodes Authentication Scheme for Body Sensor Networks
Technological evolvement of Wireless Sensor Networks (WSNs) gave birth to an attractive research area for health monitoring called Body Sensor Network (BSN). In BSN tiny sensor nodes sense physiological data of patients...