FlyLoop: a micro framework for rapid development of physiological computing systems
FlyLoop: a micro framework for rapid development of physiological computing systems
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FlyLoop：用于快速开发生理计算系统的微框架
DOI：
10.1145/2774225.2775071
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
L. Felipe Perrone
中科院分区：
文献类型：
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作者：
Evan M. Peck;Eleanor Easse;Nick Marshall;W. Stratton;L. Felipe Perrone
随着可穿戴计算的出现，廉价的商业级传感器扩大了实时生理传感的可访问性。虽然有相当多的研究探索利用这些信息来驱动智能界面，但此类系统的构建在很大程度上仅限于那些具有重要技术专长的人。即使是经验丰富的程序员也不得不应对严峻的工程挑战，例如合并来自多个传感器的数据，应用信号处理算法以及实时建模用户状态。这些障碍限制了生理计算系统以及更广泛的智能接口的可访问性和可复制性。在本文中，我们提出了FlyLoop -一个小的，轻量级的Java框架，使程序员能够快速开发，并与智能系统的实验。通过专注于简单性和模块化，而不是设备兼容性或软件依赖性，我们相信FlyLoop可以扩大下一代用户界面的参与，并鼓励可以交流和复制的系统。
With the advent of wearable computing, cheap, commercial-grade sensors have broadened the accessibility to real-time physiological sensing. While there is considerable research that explores leveraging this information to drive intelligent interfaces, the construction of such systems have largely been limited to those with significant technical expertise. Even seasoned programmers are forced to tackle serious engineering challenges such as merging data from multiple sensors, applying signal processing algorithms, and modeling user state in real-time. These hurdles limit the accessibility and replicability of physiological computing systems, and more broadly intelligent interfaces. In this paper, we present FlyLoop - a small, lightweight Java framework that enables programmers to rapidly develop, and experiment with intelligent systems. By focusing on simplicity and modularity rather than device compatibility or software dependencies, we believe that FlyLoop can broaden the participation in next-generation user interfaces, and encourage systems that can be communicated and reproduced.