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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:开发,测试和评估智能环境数据处理新方法需要访问高质量,经过验证和注释的数据集。由于成本,灵活性,实用性以及缺乏全球标准化的数据格式等问题,对此类数据集的访问受到限制。这些局限性不利于研究的进展。本文概述了开放数据计划以及使用仿真软件(IE Sim)来为活动识别解决方案的客观评估和比较提供平台。为了演示该方法,生成了一个数据集并将其分发给3个国际研究组织。这项研究的结果表明,该方法能够为新方法的基准测试和比较提供平台。

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