Proceedings of the Symposium on Eye Tracking Research and Applications最新文献_第9页

Self-localization using fixations as landmarks 使用固定点作为地标进行自我定位

Proceedings of the Symposium on Eye Tracking Research and Applications Pub Date : 2012-03-28 DOI: 10.1145/2168556.2168581

Lisa M. Tiberio, R. Canosa

{"title":"Self-localization using fixations as landmarks","authors":"Lisa M. Tiberio, R. Canosa","doi":"10.1145/2168556.2168581","DOIUrl":"https://doi.org/10.1145/2168556.2168581","url":null,"abstract":"Self-localization is the process of knowing your position and location relative to your surroundings. This research integrated artificial intelligence techniques into a custom-built portable eye tracker for the purpose of automating the process of determining indoor self-localization. Participants wore the eye tracker and walked a series of corridors while a video of the scene was recorded along with fixation locations. Patches of the scene video without fixation information were used to train the classifier by creating feature maps of the corridors. For testing the classifier, fixation locations in the scene were extracted and used to determine the location of the participant. Scene patches surrounding fixations were used for the classification instead of objects in the environment. This eliminated the need for complex computer vision object recognition algorithms and made scene classification less dependent upon objects and their placement in the environment. This allowed for a sparse representation of the scene since image processing to detect and recognize objects was not necessary to determine location. Experimentally, image patches surrounding fixations were found to be a highly reliable indicator of location, as compared to random image patches, non-fixated salient image patches, or other non-salient scene locations. In some cases, only a single fixation was needed to accurately identify the correct location of the participant. To the best of our knowledge, this technique has not been used before for determining human self-localization in either indoor or outdoor settings.","PeriodicalId":142459,"journal":{"name":"Proceedings of the Symposium on Eye Tracking Research and Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117175837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gaming with gaze and losing with a smile 用凝视玩游戏，用微笑输

Proceedings of the Symposium on Eye Tracking Research and Applications Pub Date : 2012-03-28 DOI: 10.1145/2168556.2168638

Anders Møller Nielsen, Anders Petersen, J. P. Hansen

引用次数: 21

Entropy-based correction of eye tracking data for static scenes 基于熵的静态场景眼动追踪数据校正

Proceedings of the Symposium on Eye Tracking Research and Applications Pub Date : 2012-03-28 DOI: 10.1145/2168556.2168620

Samuel John, E. Weitnauer, Hendrik Koesling

引用次数: 4

Error characterization and compensation in eye tracking systems 眼动追踪系统中的误差表征与补偿

Proceedings of the Symposium on Eye Tracking Research and Applications Pub Date : 2012-03-28 DOI: 10.1145/2168556.2168595

Juan J. Cerrolaza, A. Villanueva, Maria Villanueva, R. Cabeza

引用次数: 53

Eye-based head gestures 基于眼睛的头部手势

Proceedings of the Symposium on Eye Tracking Research and Applications Pub Date : 2012-03-28 DOI: 10.1145/2168556.2168578

D. Mardanbegi, D. Hansen, Thomas Pederson

引用次数: 73

A robust realtime reading-skimming classifier 一个鲁棒的实时阅读略读分类器

Proceedings of the Symposium on Eye Tracking Research and Applications Pub Date : 2012-03-28 DOI: 10.1145/2168556.2168575

R. Biedert, Jörn Hees, A. Dengel, Georg Buscher

{"title":"A robust realtime reading-skimming classifier","authors":"R. Biedert, Jörn Hees, A. Dengel, Georg Buscher","doi":"10.1145/2168556.2168575","DOIUrl":"https://doi.org/10.1145/2168556.2168575","url":null,"abstract":"Distinguishing whether eye tracking data reflects reading or skimming already proved to be of high analytical value. But with a potentially more widespread usage of eye tracking systems at home, in the office or on the road the amount of environmental and experimental control tends to decrease. This in turn leads to an increase in eye tracking noise and inaccuracies which are difficult to address with current reading detection algorithms. In this paper we propose a method for constructing and training a classifier that is able to robustly distinguish reading from skimming patterns. It operates in real time, considering a window of saccades and computing features such as the average forward speed and angularity. The algorithm inherently deals with distorted eye tracking data and provides a robust, linear classification into the two classes read and skimmed. It facilitates reaction times of 750ms on average, is adjustable in its horizontal sensitivity and provides confidence values for its classification results; it is also straightforward to implement. Trained on a set of six users and evaluated on an independent test set of six different users it achieved a 86% classification accuracy and it outperformed two other methods.","PeriodicalId":142459,"journal":{"name":"Proceedings of the Symposium on Eye Tracking Research and Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130263487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 73

Aggregate gaze visualization with real-time heatmaps 聚合凝视可视化与实时热图

Proceedings of the Symposium on Eye Tracking Research and Applications Pub Date : 2012-03-28 DOI: 10.1145/2168556.2168558

A. Duchowski, Margaux M. Price, Miriah D. Meyer, P. Orero

引用次数: 69

Bayesian online clustering of eye movement data 眼动数据的贝叶斯在线聚类

Proceedings of the Symposium on Eye Tracking Research and Applications Pub Date : 2012-03-28 DOI: 10.1145/2168556.2168617

Enkelejda Kasneci, G. Kasneci, W. Rosenstiel, M. Bogdan

引用次数: 82

The precision of eye-trackers: a case for a new measure 眼球追踪仪的精确性:一项新措施的案例

Proceedings of the Symposium on Eye Tracking Research and Applications Pub Date : 2012-03-28 DOI: 10.1145/2168556.2168618

P. Blignaut, T. Beelders

引用次数: 34

Simple gaze gestures and the closure of the eyes as an interaction technique 简单的凝视手势和闭上眼睛作为一种互动技术

Proceedings of the Symposium on Eye Tracking Research and Applications Pub Date : 2012-03-28 DOI: 10.1145/2168556.2168579

Henna Heikkilä, Kari-Jouko Räihä

引用次数: 38