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/.

目前人们对开发智能环境技术抱有很大兴趣。这些努力对人工智能、普适计算、机器人、接口、中间件和传感器网络等不同学科的研究成果提出了研究挑战和整合。智能环境中缺乏大规模可共享数据集是该领域快速发展的主要障碍。在此背景下，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。该基础设施项目的预期成果包括 1) 简化的自助式智能家居套件，2) 网络用于上传、访问和注释智能环境数据的界面，3) 元数据，包括功能评估分数和能源使用情况，4) 用于识别、可视化和分析家庭行为的软件工具。研究人员旨在使用诸如使用存储库的研究人员的数量和多样性、为存储库做出贡献的数据集和工具的数量、与存储库相关的研究、教育和商业进步等措施来评估由此产生的存储库（CASAS）的影响，以及该项目的更广泛影响包括 (i) DIY 智能家居工具包、数据集和软件工具，使大型研究人员社区能够在人工智能、普适计算、机器人技术方面进行研究和教育工作、接口、中间件和传感器网络； (ii) 为认知心理学、老年学和社会学研究人员提供更多机会，为智能环境的跨学科研究做出贡献； (iii) 为代表性不足群体的学生提供更多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/。