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

中文翻译：

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CARP 移动传感框架——用于数字表型分析的跨平台、反应性、编程框架和运行时环境

移动传感——即能够不引人注意地从内置手机传感器收集传感器数据——长期以来一直是 Ubicomp 的核心研究课题。多年来，已经出现了许多用于移动传感的技术平台，并积累了许多关于如何促进移动传感的知识。本文介绍了 CARP 移动感知 (CAMS) 框架，这是一种现代跨平台 (Android / iOS) 软件架构，提供强调可扩展性、可维护性和适应性的反应式统一编程模型。此外，CAMS 框架支持从可穿戴设备（例如心电图 (ECG) 监视器）进行感应，并配置数据转换器。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，并展示了该框架如何用于两个现实世界的移动传感和移动健康 (mHealth) 应用程序。我们得出的结论是，CAMS 提供了一种新颖的跨平台应用程序编程框架，该框架在数字表型分析和移动医疗应用程序的设计中已被证明是成熟、稳定、可扩展和灵活的。