android运动传感器,基于Android智能手机内置传感器的人体运动识别

闫沐喜

于 2021-05-26 23:05:12 发布

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文章标签： android运动传感器

本文探讨了一种新颖的方法，利用手机内置传感器在不同位置和姿态下自动识别用户的日常活动，如静止、步行、跑步、上楼和下楼。通过对比J48、朴素贝叶斯和SMO算法，J48分类器展现出最佳性能，平均识别准确率达到90.7%。研究结果表明，J48被选为在线活动识别的首选。

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摘要：

In this paper, built-in sensors were described to automatically detect human daily activities. In contrast to theprevious work, this paper intends to recognize the physical activities when the phone's orientation and position are varying.The data collected from six positions of seven subjects were investigated and two signals that are insensitive to orientationwere chosen for classification. Decision trees (J48), Naive Bayes and sequential minimal optimization (SMO) wereemployed to recognize five activities: static, walking, running, walking upstairs and walking downstairs. The classificationresults of three classifiers were compared. The results demonstrates that the J48 classifier produces the best performance(average recognition accuracy: 90.7%). Then we chose the J48 classifier as online classifier.

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