Step length estimation using handheld inertial sensors.
Step length estimation using handheld inertial sensors.
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DOI：
10.3390/s120708507
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Lachapelle G
中科院分区：
文献类型：
--
作者：
Renaudin V;Susi M;Lachapelle G
提出了一种基于手持微电子机械系统(MEMS)的步长模型。它将用户的步频和高度与一组用于估计步长的三个参数结合在一起。该模型的开发和训练使用了12个不同的受试者：6名男性和6名女性。为了利用手持设备可靠地估计步进频率，通过独立于步进检测过程应用短时傅立叶变换(STFT)来提取手持传感器信号的频率成分。针对不同的手部运动和传感器携带方式，分析了步频与手频的关系。为此，提取了放置在行人手部和脚部的两个传感器采集的同步信号的频率成分。通过对10个不同于上述12个测试对象的现场测试，对所提出的步长模型的性能进行了评估，并比较了使用通用参数和为每个对象校准的一组参数在行驶距离上的误差百分比。拟合解的误差在行驶距离的2.5%到5%之间，这与文献中提出的仅针对身体固定传感器的模型所获得的误差相当。
In this paper a novel step length model using a handheld Micro Electrical Mechanical System (MEMS) is presented. It combines the user's step frequency and height with a set of three parameters for estimating step length. The model has been developed and trained using 12 different subjects: six men and six women. For reliable estimation of the step frequency with a handheld device, the frequency content of the handheld sensor's signal is extracted by applying the Short Time Fourier Transform (STFT) independently from the step detection process. The relationship between step and hand frequencies is analyzed for different hand's motions and sensor carrying modes. For this purpose, the frequency content of synchronized signals collected with two sensors placed in the hand and on the foot of a pedestrian has been extracted. Performance of the proposed step length model is assessed with several field tests involving 10 test subjects different from the above 12. The percentages of error over the travelled distance using universal parameters and a set of parameters calibrated for each subject are compared. The fitted solutions show an error between 2.5 and 5% of the travelled distance, which is comparable with that achieved by models proposed in the literature for body fixed sensors only.
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影响因子：
2.4
作者：
Zijlstra, W;Hof, AL
通讯作者：
Hof, AL
影响因子：
2.4
作者：
Park, Jaeheung
通讯作者：
Park, Jaeheung
影响因子：
4.6
作者：
Sabatini, AM;Martelloni, C;Cavallo, F
通讯作者：
Cavallo, F
影响因子：
4.6
作者：
Miyazaki, S
通讯作者：
Miyazaki, S
DOI：
10.3390/s120303720
发表时间：
2012
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Morrison A;Renaudin V;Bancroft JB;Lachapelle G
通讯作者：
Lachapelle G