CARP移动传感框架--一个跨平台的反应式编程框架和数字表型分析的可扩展环境
The CARP Mobile Sensing Framework -- A Cross-platform, Reactive, Programming Framework and Runtime Environment for Digital Phenotyping
摘要：
移动传感-即，从内置电话传感器中不引人注目地收集传感器数据的能力-长期以来一直是Ubicomp的核心研究课题。多年来，已经提出了许多移动传感技术平台，并积累了大量关于如何促进移动传感的知识。本文介绍了CARP移动传感（CAMS）框架，这是一个现代的跨平台（Android / iOS）的软件架构，提供了一个反应式和统一的编程模型，强调可扩展性，可维护性和适应性。此外，CAMS框架支持从可穿戴设备（如心电图（ECG）监视器）进行感测，并配置数据Transformers。后者允许将收集的数据转换为标准化的数据格式，并实现隐私保护数据转换。本文介绍了CAMS的设计，架构，实现和评估，并显示了该框架已被用于两个现实世界的移动传感和移动健康（mHealth）应用程序。我们的结论是，CAMS提供了一个新的跨平台应用程序编程框架，该框架已被证明是成熟的，稳定的，可扩展的，灵活的数字表型和移动健康应用程序的设计
英文摘要：
Mobile sensing - i.e., the ability to unobtrusively collect sensor data from built-in phone sensors - has long been a core research topic in Ubicomp. A number of technological platforms for mobile sensing have been presented over the years and a lot of knowledge on how to facilitate mobile sensing has been accumulated. This paper presents the CARP Mobile Sensing (CAMS) framework, which is a modern cross-platform (Android / iOS) software architecture providing a reactive and unified programming model that emphasizes extensibility, maintainability, and adaptability. Moreover, the CAMS framework supports sensing from wearable devices such as an electrocardiography (ECG) monitor, and configuring data transformers. The latter allows to transform collected data to a standardized data format and to implement privacy-preserving data transformations. The paper presents the design, architecture, implementation, and evaluation of CAMS, and shows how the framework has been used in two real-world mobile sensing and mobile health (mHealth) applications. We conclude that CAMS provides a novel cross-platform application programming framework which has proved mature, stable, scalable, and flexible in the design of digital phenotyping and mHealth applications
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
