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Author Pan, M. ♦ Lin, H.
Sponsorship IEEE Sensors Council
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2001
Language English
Subject Domain (in DDC) Natural sciences & mathematics ♦ Physics ♦ Electricity & electronics
Subject Keyword Acceleration ♦ Sensors ♦ Legged locomotion ♦ Accelerometers ♦ Correlation ♦ Gravity ♦ Data collection ♦ step counting ♦ accelerometer ♦ gait analysis ♦ smartphone
Abstract The step count is an important information for developing services for smartphone users. Most existing step counting solutions restrict that: 1) the phone has to be fixed to the user and 2) the user cannot use the phone naturally while walking. We can see that these restrictions are inconvenient for users. In this paper, we propose a step calculation algorithm, which can relieve the above restrictions and can count users’ steps precisely. The proposed algorithm is composed of two phases. The first phase collects linear acceleration and gravity values from the smartphone’s accelerometer. Then, this phase derives the horizontal components of the perceived linear acceleration values and identifies possible start points of periodical regular fluctuations (of linear acceleration measurements). The second phase adopts the concept of correlation coefficients to identify whether the collected sensing measurements exhibit similar tendencies and calculates step counts. In this paper, we implement the proposed method on the android platform. The experiment results indicate that the proposed scheme can analyze gaits accurately and count steps effectively.
Description Author affiliation :: Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan
ISSN 1530437X
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-01-01
Publisher Place U.S.A.
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Volume Number 15
Issue Number 4
Size (in Bytes) 1.43 MB
Page Count 10
Starting Page 2296
Ending Page 2305


Source: IEEE Xplore Digital Library