A Novel Walking Detection and Step Counting Algorithm Using Unconstrained Smartphones.
A Novel Walking Detection and Step Counting Algorithm Using Unconstrained Smartphones.
复制标题
使用无约束智能手机的新型步行检测和步数计数算法
DOI：
10.3390/s18010297
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发表时间：
2018-01-19
期刊：
影响因子：
--
通讯作者：
Qi G
中科院分区：
文献类型：
--
作者：
Kang X;Huang B;Qi G
近年来，随着人工智能技术的发展和移动设备的普及，行走检测和步数计算在设备定位、节能、行为识别等领域发挥着重要作用，受到了越来越多的关注。本文提出了一种在智能手机上同时检测行走运动和计算步数的算法，因为智能手机的放置不仅是任意的，而且是可变的。该算法利用智能手机行走运动的周期性和陀螺仪的敏感度，通过快速傅立叶变换(FFT)从智能手机的三维角速度中提取频域特征，识别持有者是否在行走，而不考虑其放置位置。此外，递归地更新相应的步频以实时评估步数。在一个真实的环境中，通过八个受试者和不同的行走场景进行了广泛的实验。实验结果表明，该方法对步态检测的准确率为93.76%，召回率为93.65%，总体性能明显优于其他知名方法。此外，该方法计算步长的准确率为95.74%，优于几个著名的同类产品和商业产品。
Recently, with the development of artificial intelligence technologies and the popularity of mobile devices, walking detection and step counting have gained much attention since they play an important role in the fields of equipment positioning, saving energy, behavior recognition, etc. In this paper, a novel algorithm is proposed to simultaneously detect walking motion and count steps through unconstrained smartphones in the sense that the smartphone placement is not only arbitrary but also alterable. On account of the periodicity of the walking motion and sensitivity of gyroscopes, the proposed algorithm extracts the frequency domain features from three-dimensional (3D) angular velocities of a smartphone through FFT (fast Fourier transform) and identifies whether its holder is walking or not irrespective of its placement. Furthermore, the corresponding step frequency is recursively updated to evaluate the step count in real time. Extensive experiments are conducted by involving eight subjects and different walking scenarios in a realistic environment. It is shown that the proposed method achieves the precision of 93.76% and recall of 93.65% for walking detection, and its overall performance is significantly better than other well-known methods. Moreover, the accuracy of step counting by the proposed method is 95.74%, and is better than both of the several well-known counterparts and commercial products.
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影响因子：
2.4
作者：
Pfau, Thilo;Ferrari, Marta;Wilson, Alan
通讯作者：
Wilson, Alan
影响因子：
2.4
作者：
Nyan, M. N.;Tay, F. E. H.;Sitoh, Y. Y.
通讯作者：
Sitoh, Y. Y.
影响因子：
4.3
作者：
Pan, Meng-Shiuan;Lin, Hsueh-Wei
通讯作者：
Lin, Hsueh-Wei
DOI：
10.3390/s16091423
发表时间：
2016-09-02
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Ho NH;Truong PH;Jeong GM
通讯作者：
Jeong GM
影响因子：
--
作者：
Mannini A;Sabatini AM
通讯作者：
Sabatini AM