CI-ADDO-EN: Smart Home in a Box: Creating a Large Scale, Long Term Repository for Smart Environment Technologies

CI-ADDO-EN：盒子里的智能家居：为智能环境技术创建大规模、长期存储库

• 批准号: 1262814
• 负责人: Diane Cook
• 金额: $ 90万
• 依托单位: Washington State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2017-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1262814&HistoricalAwards=false
• 关键词: CI; ADDO; EN; Smart; Home

There is considerable current interest in developing smart environment technologies. Such efforts present research challenges in, and integration of research outcomes from, diverse disciplines including artificial intelligence, pervasive computing, robotics, interfaces, middleware, and sensor networks. The lack of availability of large-scale sharable data sets from smart environments is a major stumbling block for rapid advances in this area. Against this background, this project aims to develop and deploy a data and tool repository needed by the smart environment research community.The anticipated results of this infrastructure project include 1) a streamlined, do-it-yourself smart home kit, 2) a web interface to upload, access, and annotate smart environment data, 3) meta data including functional assessment scores and energy usage, and 4) software tools to recognize, visualize, and analyze home-based behaviors. The investigators aim to assess the impact of the resulting repository (CASAS) using measures such as number and diversity of researchers utilizing the repository, number of datasets and tools contributed to the repository, research, education, and commercial advances related to the repository, and publication citations to the repository.Broader impacts of the project include (i) the do-it-yourself smart home toolkit, data sets and software tools that enable research and educational efforts by a large community of researchers in artificial intelligence, pervasive computing, robotics, interfaces, middleware, and sensor networks; (ii) enhanced opportunities for researchers in cognitive psychology, gerontology, and sociology to contribute to interdisciplinary research in smart environments; and (iii) enhanced research-based training opportunities for students from underrepresented groups. The datasets, software tools and educational materials that result from this work will be made available as part of the CASAS repository at http://ailab.wsu.edu/casas/.

当前对开发智能环境技术的兴趣很大。这样的努力提出了研究成果的挑战和整合，包括人工智能，普遍计算，机器人技术，界面，中间件和传感器网络，包括各种学科。从智能环境中缺乏大规模共享数据集的可用性，这是该领域快速发展的主要绊脚石。在这种背景下，该项目旨在开发和部署智能环境研究社区所需的数据和工具存储库。该基础架构项目的预期结果包括1）简化的，做的，您自己动手的智能家居套件，2）一个网络界面，可上传，访问，访问，访问和注释智能环境数据，3）META依次数据，3）功能均能衡量的型号和4个近似工具，并分析了型号和4），以及4），以及4），以及4）。研究人员旨在使用诸如研究人员的数量和多样性诸如使用存储库的数量和多样性等措施来评估所得存储库（CASA）的影响大型研究人员在人工智能，普遍计算，机器人技术，界面，中间件和传感器网络上的努力； （ii）为研究人员在认知心理学，老年病和社会学方面增进了机会，以促进智能环境中的跨学科研究； （iii）为来自代表性不足的群体的学生增强了基于研究的培训机会。这项工作产生的数据集，软件工具和教育材料将作为Casas存储库的一部分提供，网址为http://ailab.wsu.edu/casas/。