.png){kind=icon}
返回
Towards demographic categorization using gaze analysis
.png){kind=icon}
PRE
AI
DOI：10.1016/j.patrec.2015.08.018.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Current use of gaze analysis, which is mostly restricted to eye gaze tracking for augmentative and alternative communication (AAC) medium, can benefit people afflicted with amyotrophic lateral sclerosis (ALS). This paper advances the use of gaze analysis for biometrics purposes related to gender and age demographics to benefit applications related to retail space for targeted advertising, behavioral biometrics to benefit health care, and surveillance applications. Towards that end, this paper expands on the recently introduced Gaze ANalysis Technique (GANT) for human identification to combine the length of time spent on observing patterns of interest and the scanning patterns for biometric representation with AdaBoost and super vector machines (SVM) subsequently used for biometric categorization. The experiments conducted show that while the initial results are promising further innovation and development is required to make gaze analysis a viable alternative for demographics categorization, on its own, or together with other biometrics. Further improvements on performance are expected from the derivation, extraction, and use of alternative and novel gaze driven features. This will include among others additional information that is already available about the arc features connecting the fixation points and the dynamics they encode about the roving gaze. (C) 2015 Elsevier B.V. All rights reserved.
Keyword:
GANT
Gaze analysis
Gender and age categorization
Adaboost
SVM
K-fold cross validation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.3
论文数:
7.9K
被引数:
1.6W
机构
查看更多机构
引用论文
.png){kind=icon}
THE COSTS OF INTRODUCING A MALARIA VACCINE THROUGH THE EXPANDED PROGRAM ON IMMUNIZATION IN TANZANIA
PREAI
分享收藏
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting在线学习的决策理论概括及其在Boosting中的应用
OAAI
OAAI分享收藏 没有更多内容