使用头戴式惯性传感器的活动识别

Johann-Peter Wolff, Florian Grützmacher, A. Wellnitz, C. Haubelt
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引用次数: 8

摘要

使用惯性传感器的人体活动识别功能在智能手机或智能手表上的应用越来越多,它可以提供每个人的运动和身体活动信息。不过,尽管不同的人、不同的环境佩戴智能手机的姿势不同,但智能手表会随着用户的手臂不断移动。这两个问题都降低了活动识别的可靠性。在头部安装惯性传感器可以提供关于整个身体运动的可靠信息,而不会被许多额外的运动所叠加。这可以通过将传感器固定在眼镜、头盔或耳机上来实现。本文提出了一种利用头戴式惯性传感器进行人体活动识别的系统。我们将其与现有的研究工作进行了比较,并展示了将单个传感器定位在头部以识别身体活动的可能优点或缺点。此外,我们评估了使用不同传感器配置对活动识别的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Activity Recognition using Head Worn Inertial Sensors
Human activity recognition using inertial sensors is an increasingly used feature in smartphones or smartwatches, providing information on sports and physical activities of each individual. But while the position a smartphone is worn in varies between persons and circumstances, a smartwatch moves constantly, in rhythm with its user's arms. Both problems make activity recognition less reliable. Attaching an inertial sensor to the head provides reliable information on the movements of the whole body while not being superimposed by many additional movements. This can be achieved by fixing sensors to glasses, helmets, or headphones. In this paper, we present a system using head-mounted inertial sensors for human activity recognition. We compare it to existing research work and show possible advantages or disadvantages of positioning a single sensor on the head to recognize physical activities. Furthermore we evaluate the benefits of using different sensor configurations on activity recognition.
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