A Tutorial on Human Activity Recognition Using Body-Worn Inertial Sensors
A Tutorial on Human Activity Recognition Using Body-Worn Inertial Sensors
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DOI：
10.1145/2499621
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发表时间：
2014-01-01
影响因子：
16.6
通讯作者：
Schiele, Bernt
中科院分区：
文献类型：
--
作者：
Bulling, Andreas;Blanke, Ulf;Schiele, Bernt
在过去的20年中，在人类活动识别领域的研究活动不断增加。随着活动识别的成熟程度，设计，实施和评估活动识别系统时面临的挑战也存在。该教程旨在为新移民提供人类活动认可领域的全面动手介绍。它特别着眼于使用体内惯性传感器的活动识别。我们首先讨论了人类活动认可与一般模式识别所共有的关键研究挑战，并确定特定于人类活动识别的挑战。然后，我们将活动识别链（ARC）的概念描述为设计和评估活动识别系统的通用框架。我们详细介绍了框架的每个组成部分，为相关研究提供了参考，并介绍了活动识别研究社区开发的最佳实践方法。我们最终以教育示例问题识别从上臂和下臂附着的惯性传感器的不同手势。我们说明了如何针对此特定的活动识别问题实现此框架的每个组件，并演示了不同的实施方式以及它们如何影响整体识别绩效。
The last 20 years have seen ever-increasing research activity in the field of human activity recognition. With activity recognition having considerably matured, so has the number of challenges in designing, implementing, and evaluating activity recognition systems. This tutorial aims to provide a comprehensive hands-on introduction for newcomers to the field of human activity recognition. It specifically focuses on activity recognition using on-body inertial sensors. We first discuss the key research challenges that human activity recognition shares with general pattern recognition and identify those challenges that are specific to human activity recognition. We then describe the concept of an Activity Recognition Chain (ARC) as a general-purpose framework for designing and evaluating activity recognition systems. We detail each component of the framework, provide references to related research, and introduce the best practice methods developed by the activity recognition research community. We conclude with the educational example problem of recognizing different hand gestures from inertial sensors attached to the upper and lower arm. We illustrate how each component of this framework can be implemented for this specific activity recognition problem and demonstrate how different implementations compare and how they impact overall recognition performance.