眼动和触觉动力学:一种网络用户活动识别的建议方法

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI:10.1109/SITIS.2019.00117

Andrea Casanova, Lucia Cascone, Aniello Castiglione, M. Nappi, Chiara Pero

{"title":"眼动和触觉动力学:一种网络用户活动识别的建议方法","authors":"Andrea Casanova, Lucia Cascone, Aniello Castiglione, M. Nappi, Chiara Pero","doi":"10.1109/SITIS.2019.00117","DOIUrl":null,"url":null,"abstract":"Behavioral Profiling is the way in which the user interacts with the mobile sensors and services. Identifying the context in which users' interaction occur is an important step toward automatic interpretation of behavior. Activity Recognition and online task monitoring are required for various context aware applications. As a result, two sources of behavioral biometric data are investigated for the development of user Web identification models. The adopted approach is based on eye-gaze movements along with touch dynamics interactions. Fusing different behavioral biometric traits, i.e, the unique characteristics of eye movements and the distinctive way a person touches on a touchscreen device, can improve the identification accuracy.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Eye-Movement and Touch Dynamics: A Proposed Approach for Activity Recognition of a Web User\",\"authors\":\"Andrea Casanova, Lucia Cascone, Aniello Castiglione, M. Nappi, Chiara Pero\",\"doi\":\"10.1109/SITIS.2019.00117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Behavioral Profiling is the way in which the user interacts with the mobile sensors and services. Identifying the context in which users' interaction occur is an important step toward automatic interpretation of behavior. Activity Recognition and online task monitoring are required for various context aware applications. As a result, two sources of behavioral biometric data are investigated for the development of user Web identification models. The adopted approach is based on eye-gaze movements along with touch dynamics interactions. Fusing different behavioral biometric traits, i.e, the unique characteristics of eye movements and the distinctive way a person touches on a touchscreen device, can improve the identification accuracy.\",\"PeriodicalId\":301876,\"journal\":{\"name\":\"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SITIS.2019.00117\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITIS.2019.00117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

摘要

行为分析是用户与移动传感器和服务交互的方式。识别用户交互发生的环境是自动解释行为的重要一步。各种上下文感知应用程序都需要活动识别和在线任务监控。因此，研究了两种行为生物特征数据来源，用于开发用户Web识别模型。所采用的方法是基于眼球注视运动和触摸动态交互。融合不同的行为生物特征，即眼球运动的独特特征和人在触摸屏设备上触摸的独特方式，可以提高识别精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Eye-Movement and Touch Dynamics: A Proposed Approach for Activity Recognition of a Web User

Behavioral Profiling is the way in which the user interacts with the mobile sensors and services. Identifying the context in which users' interaction occur is an important step toward automatic interpretation of behavior. Activity Recognition and online task monitoring are required for various context aware applications. As a result, two sources of behavioral biometric data are investigated for the development of user Web identification models. The adopted approach is based on eye-gaze movements along with touch dynamics interactions. Fusing different behavioral biometric traits, i.e, the unique characteristics of eye movements and the distinctive way a person touches on a touchscreen device, can improve the identification accuracy.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)

自引率

0.00%

发文量