Towards generic human activity recognition for ubiquitous applications
Towards generic human activity recognition for ubiquitous applications
复制标题
实现普遍应用的通用人类活动识别
DOI：
10.1007/s12652-012-0133-z
复制
发表时间：
2012
影响因子：
--
通讯作者：
Andreu J
中科院分区：
文献类型：
--
作者：
Andreu J
普适计算是一种将计算机嵌入到日常环境中的新的计算模式。计算机在环境中的消失可以通过复杂和小型化的设备来实现，例如可穿戴传感器，不显眼的传感器网络和计算机视觉技术。如今，由于这些设备的低成本、小尺寸和高计算能力，普适传感器能够与人类自主互动，成为日常生活的一部分。建立在普适应用之上的最基本的研究领域之一是以人为中心的智能空间。与其他智能空间不同的是，它们专注于创建与人类相关的上下文敏感计算。也就是说，这种智能提供了关于人类的条件，感觉，行动或活动的推理机制。这个推论值得注意，以便改善人类与围绕他们的电子设备之间的无处不在的交互。因此，这些系统的整体成功率在很大程度上取决于从上下文的推断。换句话说，无处不在的设备应该是上下文感知的。这个特殊的问题是集中在无处不在的应用程序中最重要的推理或上下文感知系统之一（如位置，自然语言处理，情感计算等）。人类活动识别（Human Activity Recognition，HAR）在这种人类活动意识中，可以区分不同的
Ubiquitous computing presents nowadays a new paradigm of computation where computers are embedded into the everyday environment. The vanishing of computers in the environment can be obtained through sophisticated and miniaturized devices such as wearable sensors, unobtrusive sensor networks and computer vision technologies. Nowadays, thanks to the low cost, small size and high computational power of these devices, pervasive sensors are able to interact autonomously with humans as a part of their day-to-day. One of the most fundamental areas of research that builds on top of Ubiquitous Applications is the making of human-centric intelligent spaces. As a difference with other intelligent spaces, they focus on creating a context-sensitive computing with respect to humans. That is to say, this intelligence provides inference mechanisms regarding humans’ conditions, feelings, actions or activities. This inference is noteworthy in order to improve the ubiquitous interaction between humans and electronic devices which surround them. Hence, the overall success rate of these systems strongly depends on the inference from the context. In other words, ubiquitous devices should be context-aware.This special issue is focused on one of the most important inference or context-aware systems in Ubiquitous applications (among other such as location, natural language processing, emotional computing, etc.) that is Human Activity Recognition (HAR). In this human activity awareness it is possible to distinguish between different