基于特征相似度的人体动作识别
首发时间:2014-11-19
摘要:基于智能手机的人体动作识别在移动情景感知、惯性定位等方面有着非常广泛的应用。与传感器位置固定的动作识别相比,基于智能手机的动作识别有着手机方向及位置不固定的新问题。本文以Android智能手机为研究载体,对手机位置不固定时的人体动作识别进行了研究。首先,本文对人体运动及实验数据进行了分析,并提出了使用动作特征之间的相似性来达到位置无关的效果,以进一步提高识别精度的方法。并进一步描述了如何在动作识别的过程中计算并选取相似度,并将其应用到动作识别过程中以达到提高的目的。最后介绍了本文的实验,包括实验数据的采集、不同方法的识别率以及改进的方向等。
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Human Activity Recognition Based on Similarity
Abstract:Human activity recognition based on smart phones has been widely used in many fields including the mobile context awareness and inertial positioning. Compared to the activity recognition whose sensor location is fixed, the activity recognition based on smartphones has a new problem because the mobile direction and position are not fixed. In this paper, we study the activity recognition on the Android smartphones to find out a location-free method. Firstly, this paper analyzes the human motion and experimental data, and proposes a method using the similarity of activity to achieve the location independence to further improve the recognition precision. Secondly we describe how to calculate and use the similarity in the process of activity recognition to help our research. Finally, the experiments are introduced, including the collection of experimental data, results of different methods and the direction of further study.
Keywords: mobile computing activity recognition Similarity
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