Walking Step Estimation from a Tri-Axial Accelerometer Using Modulus Maximum of Wavelet Transform

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This paper proposes a novel method for using accelerometer data to estimate walking step. The modulus maximum of wavelet transform is used to detect the step for the first time. Recently, the most traditional step estimated methods are based on thresholds which depend on subject and walking condition. However, our proposed method can not only overcome these drawbacks but also avoid noise effectively. To validate the performance of the proposed methods, we test accelerometer data collected from 35 subjects walking under free-living conditions. The experiments shows that the average accuracy of step estimate is 97.25% which better than threshold-based method. Based on the results of these experiments, is concluded that a tri-accelerometer is a promising tool for the accurate assessment of walking step.


Document Type: Research Article

DOI: http://dx.doi.org/10.1166/sl.2011.1534

Publication date: October 1, 2011

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  • The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.
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