Browse > Article
http://dx.doi.org/10.3745/KTCCS.2015.4.2.57

An Enhanced Step Detection Algorithm with Threshold Function under Low Sampling Rate  

Kim, Boyeon (한양대학교 컴퓨터공학부)
Chang, Yunseok (대진대학교 컴퓨터공학과)
Publication Information
KIPS Transactions on Computer and Communication Systems / v.4, no.2, 2015 , pp. 57-64 More about this Journal
Abstract
At the case of peak threshold algorithm, 3-axes data should sample step data over 20 Hz to get sufficient accuracy. But most of the digital sensors like 3-axes accelerometer have very low sampling rate caused by low data communication speed on limited SPI or $I^2C$ bandwidth of the low-cost MPU for ubiquitous devices. If the data transfer rate of the 3-axes accelerometer is getting slow, the sampling rate also slows down and it finally degrades the data accuracy. In this study, we proved there is a distinct functional relation between the sampling rate and threshold on the peak threshold step detection algorithm under the 20Hz frequency, and made a threshold function through the experiments. As a result of experiments, when we apply threshold value from the threshold function instead of fixed threshold value, the step detection error rate can be lessen about 1.2% or under. Therefore, we can suggest a peak threshold based new step detection algorithm with threshold function and it can enhance the accuracy of step detection and step count. This algorithm not only can be applied on a digital step counter design, but also can be adopted any other low-cost ubiquitous sensor devices subjected on low sampling rate.
Keywords
Ubiquitous; Step Detection; Peak Threshold; Low Sampling Rate; Threshold Function;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Tan Joshep, "E-Health Information System," San Francisco : Jossey-Bass, 2005.
2 C. V. Bouten, K. T. Koekkoek, M. Verduin, R. K. Kodde and J. D. Janssen, "A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity," IEEE Transactions on Biomedical Engineering, Vol.44, No.3, pp.136-147, 1997.   DOI
3 R.boulic, N. M. Thalmann, "A Global Human Waling Model With Realtime Kinematic Rersonification," The Visual Computer, Vol.6, pp.344-358, 1991.
4 I. H. Lee, J. C. Kim, S. M. Jung, and Sun K. Yoo, "The Detection of Gait Cycle and Realtime Monitoring System Using the Accelerometer," The Korean Institute of Electrical Engineers, CICS 2008, pp.476-477, 2008.
5 Han-Jin Jang, Jeong Won Kim, and Dong-Hwan Hwang, "Design of a Robust Pedometer for Personal Navigation System against Ground Variation and Walking Behavior," Transactions of the Korean Institute of Electrical Engineers D, Vol.55, No.9, pp.420-422, 2006.
6 Kim Nam-Jin, Hong Joo-Hyun, and Lee Tae-Soo, "Motion Sensor data Normalization Algorithm for Pedestrain Pattern Detection," The Journal of the Korea Contents Association, Vol.5, No.4, pp.94-102, 2005.
7 Yun-Kyung Kim, Sung-Mok Kim, Hyung-Suk Lho and We-Duke Cho, "Real-Time Step Count Detection Algorithm Using a Tri-Axial Accelerometer," Journal of Korean Society for Internet Information, Vol.12, No.3, pp.17-26, 2011.
8 R.W. DeVaul, S. Dunn, Real-time motion classfication for wearable computing applications, Technical report, MIT media LAB, 2001.
9 S.H. Shin, C.G. Park, "Adaptive Step Length Estimation Algorithm Using Low-Cost MEMS Inertial Sensors," IEEE Sensors Applications Symposium, San Diego, California USA, pp.1-5, 2007.
10 U. J. Ryu, E. T. Kim, K. H. Ahn, and Y. S. Chang, "Accuracy Improvement Method of Step Count Detection Using Variable Amplitude Threshold," The KIPS Transactions on Computer and Communication System, Vol.2, No.6, 2013.
11 "BMA250 Datasheet," BOSCH.
12 CSR BlueCore4-Ext Specification, CSR, Cambridge, 2009.
13 D. M. Karantonis, M. R. Narayanan, M. Mathie, N. H. Lovell and B. G. Geller, "Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring," IEEE Transactions on Information Technology in Biomedicine, Vol.10, No.1, pp.156-165, 2006.   DOI
14 K. H. Ahn, E. T. Kim, U. J. Ryu, and Y. S. Chang, "Implementation on SVM based Step Detection Analyzer," Proceedings of the 2013 KMMS Conference, Korea Multimedia Society, 2013.