论文标题
ChildCI框架：儿童计算机相互作用中的运动和认知发展分析年龄检测
ChildCI Framework: Analysis of Motor and Cognitive Development in Children-Computer Interaction for Age Detection
论文作者
论文摘要
本文对最近的ChildCI框架中提出的不同测试进行了全面分析，证明了其可能会更好地了解儿童的神经运动和随时间的认知发展，以及它们在其他研究领域（例如电子卫生和电子学习）中的应用。特别是，我们提出了一组与儿童与移动设备互动的运动和认知方面有关的100多个全球特征，其中一些是根据文献收集和改编的。 此外，我们分析了拟议特征集的鲁棒性和判别能力，包括基于他们的运动和认知行为的儿童年龄段检测任务的实验结果。在这项研究中考虑了两种不同的方案：i）单检验场景，ii）多次测试场景。使用公开可用的childcidb_v1数据库（从18个月到8岁的400多名儿童）实现了超过93％的精度，这证明了儿童年龄与与移动设备的互动的高度相关性。
This article presents a comprehensive analysis of the different tests proposed in the recent ChildCI framework, proving its potential for generating a better understanding of children's neuromotor and cognitive development along time, as well as their possible application in other research areas such as e-Health and e-Learning. In particular, we propose a set of over 100 global features related to motor and cognitive aspects of the children interaction with mobile devices, some of them collected and adapted from the literature. Furthermore, we analyse the robustness and discriminative power of the proposed feature set including experimental results for the task of children age group detection based on their motor and cognitive behaviours. Two different scenarios are considered in this study: i) single-test scenario, and ii) multiple-test scenario. Results over 93% accuracy are achieved using the publicly available ChildCIdb_v1 database (over 400 children from 18 months to 8 years old), proving the high correlation of children's age with the way they interact with mobile devices.
