Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31584
Pedometer Development Utilizing an Accelerometer Sensor

Authors: Ling-Mei Wu, Jia-Shing Sheu, Wei-Cian Jheng, Ying-Tung Hsiao


This paper develops a pedometer with a three-axis acceleration sensor that can be placed with any angle. The proposed pedometer measures the number of steps while users walk, jog or run. It can be worn on users’ waistband or placed within pocket or backpack. The work address to improve on the general pedometers, which can only be used in a single direction or can only count of steps without the continuous exercise judgment mechanism. Finally, experimental results confirm the superior performance of the proposed pedometer.

Keywords: Accelerometer sensor, Angle estimation, Pedometer.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 4458


[1] C. C. Wang, C. Y. Chiang, P. Y. Lin, Y. C. Chou, I. T. Kuo, C. N. Huang, C. T. Chan, “Development of a fall detecting system for the elderly residents,”IEEE International Conference on Bioinformatics and Biomedical Engineering, 2008, pp.1359–1362.
[2] C. C. Shih, The Implementation Of A G-Sensor-Based Pedometer, Department of Computer Science and information Engineering, National Central University, Master Thesis, 2010.
[3] F. X. Cao, D. K. Yang, A. G. Xiao, C. L. Law, K. V. Ling, H. C. Chua, “Low cost SINS/GPS integration for land vehicle navigation,” IEEE 5th International Conference on Intelligent Transportation Systems, 2002, pp.910–913.
[4] J. Dai, X. Bai, Z. Yang, Z. Shen, and D. Xuan, “PerFallD: A pervasive fall detection system using mobile phones,” IEEE International Conference on Pervasive Computing and Communications Workshops, 2010, pp.292–297.
[5] M. J. Mathie, N. H. Lovell, A. C. F. Coster, and B. G. Celler “Determining activity using a triaxial accelerometer,” Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, vol. 3, pp. 2481–2482, 2002.
[6] R. M. Rangayyan, Biomedical signal analysis: A Case-Study Approach, Wiley-IEEE Press, 2001, pp.99–100.
[7] 2009 Taiwan National Health Interview Survey.
[8] X. H. Wu, The Study of G-Sensor-Based Systems and Their Applications, Department of Computer Science and information Engineering, National Central University, Master Thesis, 2011.
[9] Z. Shiqi, Y. Chun and Z. Yan, “Handwritten character recognition using orientation quantization based on 3D accelerometer,” Annual International Conference on Mobile and Ubiquitous Systems, 2008.