In principle, activity recognition can be exploited to great societal benefits, especially in real-life, human centric applications such as elder care and healthcare. This article focused on recognizing simple human activities. Recognizing complex activities remains a challenging and active area of research and the nature of human activities poses different challenges. Human activity understanding encompasses activity recognition and activity pattern discovery. The first focuses on accurate detection of human activities based on a predefined activity model. An activity pattern discovery researcher builds a pervasive system first and then analyzes the sensor data to discover activity patterns.

中文翻译：

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人类活动识别和模式发现

原则上，活动识别可以带来巨大的社会效益，特别是在现实生活中，以人为本的应用程序，如老年人护理和医疗保健。本文侧重于识别简单的人类活动。识别复杂的活动仍然是一个具有挑战性和活跃的研究领域，人类活动的性质提出了不同的挑战。人类活动理解包括活动识别和活动模式发现。第一个侧重于基于预定义的活动模型准确检测人类活动。活动模式发现研究人员首先构建一个普适系统，然后分析传感器数据以发现活动模式。