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Step Count Detection Algorithm and Activity Monitoring System Using a Accelerometer  

Kim, Yun-Kyung (Department of and Electronic Engineering, Ajou University)
Lho, Hyung-Suk (Department of and Electronic Engineering, Ajou University)
Cho, We-Duke (Department of and Electronic Engineering, Ajou University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.48, no.2, 2011 , pp. 127-137 More about this Journal
Abstract
We have developed a wearable device that can convert sensor data into real-time step counts and activity levels. Sensor data on gait were acquired using a triaxial accelerometer. A test was performed according to a test protocol for different walking speeds, e.g., slow walking, walking, fast walking, slow running, running, and fast running. Each test was carried out for 36 min on a treadmill with the participant wearing a portable gas analyzer (K4B2), an Actical device, and the device developed in this study. The signal vector magnitude (SVM) was used to process the X, Y, and Z values output by the triaxial accelerometer into one representative value. In addition, for accurate step-count detection, we used three algorithms: an heuristic algorithm (HA), the adaptive threshold algorithm (ATA), and the adaptive locking period algorithm (ALPA). A regression equation estimating the energy expenditure (EE) was derived by using data from the accelerometer and information on the participants. The recognition rate of our algorithm was 97.34%, and the performance of the activity conversion algorithm was better than that of the Actical device by 1.61%.
Keywords
Triaxial accelerometer; step count; energy expenditure (EE); physical activity (PA); Actical device;
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Times Cited By KSCI : 1  (Citation Analysis)
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