A More Reliable Step Counter using Built-in Accelerometer in Smartphone
Step counter, being an active area of human daily physical activity, is an essential role in human activity determination research. As the current smartphones come with many different sensors and powerful processing capabilities, the step counting using built-in sensors in a smartphone is increasing...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2018-11-01.
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| LEADER | 02766 am a22003373u 4500 | ||
|---|---|---|---|
| 001 | 0 nhttps:__ijeecs.iaescore.com_index.php_IJEECS_article_downloadSuppFile_12936_1481 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Win Myo, Win |e author |
| 100 | 1 | 0 | |a Prince of Songkla University |e contributor |
| 700 | 1 | 0 | |a Wettayaprasit, Wiphada |e author |
| 700 | 1 | 0 | |a Aiyarak, Pattara |e author |
| 245 | 0 | 0 | |a A More Reliable Step Counter using Built-in Accelerometer in Smartphone |
| 260 | |b Institute of Advanced Engineering and Science, |c 2018-11-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/12936 | ||
| 520 | |a Step counter, being an active area of human daily physical activity, is an essential role in human activity determination research. As the current smartphones come with many different sensors and powerful processing capabilities, the step counting using built-in sensors in a smartphone is increasingly becoming a vital factor among many researchers. However, the step counting with a smartphone has still challenging due to many different walking behaviors and mobile phone positions. In this study, we introduce a more reliable step counter's technique using Accelerometer sensor in a smart phone. The objective of this study is to get the accurate steps of three different walking activities in four different mobile positions. In order to achieve this, a new reliable technique based on peak is attracting considerable in our work using average acceleration. The experimental result shows 99.02% as an overall step counting performance that the proposed method reliably detects the steps under varying walking speed in different devices modes. This result is encouraging to facilitate among of the complex walking activities using built-in sensors in smartphone. | ||
| 540 | |a Copyright (c) 2018 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Scopus | ||
| 690 | |a Step counter;Walking; Accelerometer sensor;Smartphone; Mobile phone; | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 2: November 2018; 775-782 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v12.i2 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/12936/9514 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/downloadSuppFile/12936/1481 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/12936/9514 |z Get fulltext |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/downloadSuppFile/12936/1481 |z Get fulltext |