NSense：一个以人为中心的非侵入式情境化邻近感知工具
NSense: A People-centric, non-intrusive Opportunistic Sensing Tool for Contextualizing Nearness
摘要：
在社会福祉和环境意识的背景下，一些电子健康应用程序一直专注于跟踪活动，如睡眠或特定的健身习惯，目的是促进身体健康，并取得越来越大的成功。然而，除了身体健康之外，传感技术还可用于改善社会健康。本文讨论了NSense，已经开发的工具，以捕捉和推断社会互动模式，旨在协助促进社会福祉。在现实环境下进行的实验验证了NSense的性能，它的能力，推断社会互动的背景下，我们提出的计算效用函数的基础上。实验期间获得的痕迹可通过CRAWDAD国际痕迹储存库查阅。
英文摘要：
In the context of social well-being and context awareness several eHealth applications have been focused on tracking activities, such as sleep or specific fitness habits, with the purpose of promoting physical well-being with increasing success. Sensing technology can, however, be applied to improve social well-being, in addition to physical well-being. This paper addresses NSense, a tool that has been developed to capture and to infer social interaction patterns aiming to assist in the promotion of social well-being. Experiments carried out under realistic settings validate the NSense performance in terms of its capability to infer social interaction context based on our proposed computational utility functions. Traces obtained during the experiments are available via the CRAWDAD international trace repository.
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。
