A Research of Web based Corporative Work Support System using Multi Sensor Fusion

基于Web的多传感器融合协同工作支持系统研究

• 批准号: 21700244
• 负责人: SAKURAI Yoshitaka
• 金额: $ 2.66万
• 依托单位: Tokyo Denki University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Young Scientists (B)
• 财政年份: 2009
• 资助国家: 日本
• 起止时间: 2009 至 2011
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21700244/
• 关键词: 感性計測評価; センサーフュージョン; ユーザサポートシステム; 生体情報センター; 状況推定; 共同開発支援; ユーザサホートシステム

Due to the geographical distribution, different cognitive capacity, and different domain competency of workers or learners, many misunderstandings can occur during distributed remote collaboration, leading to inefficient discussions and undesired results. To make remote collaboration more efficient and dependable, enriching cyberspace through adaptively utilizing multimedia information is proposed and evaluated. This assesses situations of remote users through information fusion of multiple biomedical sensors and the related contexts such as user profiles. Transmitting and using such information, the system adaptively supports the distributed remote collaboration by stressing, warning, and presenting keywords/summaries in multimedia. Effects of presenting keywords/summaries adaptively depending on situations and cognitive profiles of remote members are evaluated as to the decrease of not-/misunderstanding possibilities during the explanation on the Cyberspace. The evaluation demonstrates the feasibility and usefulness of the proposed method.

由于工作者或学习者的地理分布、不同的认知能力和不同的领域能力，在分布式远程协作中可能会出现许多误解，从而导致低效的讨论和不期望的结果。为了提高远程协作的效率和可靠性，提出并评价了自适应利用多媒体信息丰富网络空间的方法。该方法通过多个生物医学传感器的信息融合和用户档案等相关背景来评估远程用户的情况。系统通过对这些信息的传输和利用，自适应地支持分布式远程协作。评估了根据情境和远程成员的认知概况自适应呈现关键词/摘要在网络空间解释过程中减少不理解/误解可能性的效果。评价结果表明了该方法的可行性和有效性。

项目成果

Success Chances Estimation of University Curricula Based on Educational History, Self-Estimated Intellectual Traits and Vocational Ambitions

基于教育史、自我评估智力特征和职业抱负的大学课程成功机会评估

• 发表时间: 2011
• 期刊: Proc.of 2011 IEEE 11th International Conference on Advanced Learning Technologies (ICALT2011)
• 作者: Aruka;Y.;Akiyama;E.;Y.Sakurai
• 通讯作者: Y.Sakurai

Using contexts to supervise a collaborative process

• DOI: 10.1017/s0890060410000156
• 发表时间: 2011-02-01
• 期刊: AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING
• 影响因子: 2.1
• 作者: Gonzalez, Avelino J.;Tsuruta, Setsuo;Uchida, Ken
• 通讯作者: Uchida, Ken

Inner Random Restart Genetic Algorithm for Practical Delivery Schedule Optimization

用于实际交货计划优化的内部随机重启遗传算法

• DOI: 10.1541/ieejeiss.131.1485
• 发表时间: 2011
• 期刊: IEEJ Transactions on Electronics, Information and Systems
• 作者: 櫻井義尚;高田考平;小野山隆;塚本奈津貴;鶴田節夫
• 通讯作者: 鶴田節夫

Adaptive Kansei Search Method Using User's Subjective Criterion Deviation

利用用户主观标准偏差的自适应感性搜索方法

• DOI: 10.4018/ijcvip.2011010102
• 发表时间: 2011
• 期刊: International Journal of Computer Vision and Image Processing(IJCVIP)
• 作者: Y. Sakurai;R. Knauf;T. Kawabe;S. Tsuruta
• 通讯作者: S. Tsuruta

A Retrieval Method Adaptively Reducing User's Subjective Impression Gap

一种自适应缩小用户主观印象差距的检索方法

• DOI: 10.1007/s11042-010-0690-0
• 发表时间: 2011
• 期刊: Multimedia Tools and Applications
• 影响因子: 3.6
• 作者: Y. Sakurai;K. Takada;R. Knauf;S. Tsuruta
• 通讯作者: S. Tsuruta