论文标题
鲤鱼移动传感框架 - 用于数字表型的跨平台，反应性，编程框架和运行时环境
The CARP Mobile Sensing Framework -- A Cross-platform, Reactive, Programming Framework and Runtime Environment for Digital Phenotyping
论文作者
论文摘要
移动传感 - 即从内置电话传感器收集传感器数据的能力 - 长期以来一直是Ubicomp的核心研究主题。多年来，已经介绍了许多用于移动传感的技术平台，并且有关如何促进移动传感的知识已被积累。本文介绍了鲤鱼移动传感（CAM）框架，该框架是现代的跨平台（Android / ios）软件体系结构，提供了一种反应性和统一的编程模型，强调可扩展性，可维护性和适应性。此外，CAMS框架支持可穿戴设备（例如心电图（ECG）监视器）和配置数据变压器的传感。后者允许将收集的数据转换为标准化的数据格式，并实施保护隐私的数据转换。该论文介绍了CAM的设计，架构，实现和评估，并显示了该框架如何用于两个现实世界移动传感和移动健康（MHealth）应用程序中。我们得出的结论是，CAM提供了一种新颖的跨平台应用程序编程框架，该框架在数字表型和MHealth应用程序的设计中证明了成熟，稳定，可扩展和灵活
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
