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Environment Simulation for the Promotion of the Open Data Initiative

机译:促进开放数据倡议的环境模拟

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The development, testing and evaluation of novel approaches to Intelligent Environment data processing require access to datasets which are of high quality, validated and annotated. Access to such datasets is limited due to issues including cost, flexibility, practicality, and a lack of a globally standardized data format. These limitations are detrimental to the progress of research. This paper provides an overview of the Open Data Initiative and the use of simulation software (IE Sim) to provide a platform for the objective assessment and comparison of activity recognition solutions. To demonstrate the approach, a dataset was generated and distributed to 3 international research organizations. Results from this study demonstrate that the approach is capable of providing a platform for benchmarking and comparison of novel approaches.
机译:对智能环境数据处理的新颖方法的开发,测试和评估需要访问高质量,验证和注释的数据集。由于包括成本,灵活性,实用性以及缺乏全局标准化数据格式,因此有限地访问此类数据集。这些限制对研究的进度有害。本文概述了开放式数据计划和使用仿真软件(即SIM),为目标评估和活动识别解决方案的比较提供平台。为了演示方法,将生成数据集并分发到3个国际研究组织。本研究的结果表明,该方法能够为新颖方法提供基准和比较的平台。

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