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A Self-organizing Approach to Activity Recognition with Wireless Sensors

机译：一种自组织的无线传感器活动识别方法

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摘要

In this paper, we describe an approach to activity recognition, which is based on a self-organizing, ad hoc network of body-worn sensors. It makes best use of the available sensors, and autonomously adapts to dynamically varying sensor setups in terms of changing sensor availabilities, characteristics and on-body locations. For a widespread use of activity recognition systems, such an opportunistic approach is better suited than a fixed and application-specific deployment of sensor systems, as it unburdens the user from placing specific sensors at predefined locations on his body. The main contribution of this paper is the presentation of an interaction model for the self-organization of sensor nodes, which enables a cooperative recognition of activities according to the demands of a user's mobile device. We implemented it with an embedded system platform, and conducted an evaluation showing the feasibility and performance of our approach.
机译：在本文中，我们描述了一种活动识别方法，该方法基于人体传感器的自组织，自组织网络。它充分利用了可用的传感器，并根据传感器的可用性，特性和身体位置的变化自动适应动态变化的传感器设置。对于活动识别系统的广泛使用，这种机会性方法比固定和特定于应用程序的传感器系统部署更适合，因为它使用户不必将特定的传感器放置在其身体上的预定位置。本文的主要贡献是提出了一种用于传感器节点自组织的交互模型，该模型可以根据用户移动设备的需求对活动进行协作识别。我们在嵌入式系统平台上实施了该软件，并进行了评估，以证明该方法的可行性和性能。

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