A Simple Hierarchical Activity Recognition System using a Gravity Sensor and Accelerometer on a Smartphone
| Main Authors: | Dwiyantoro, Alvin Prayuda Juniarta; Chonnam National University, Nugraha, I Gde Dharma; Chonnam National University, Choi, Deokjai; Chonnam National University |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Universitas Indonesia
, 2016
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| Subjects: | |
| Online Access: |
http://www.ijtech.eng.ui.ac.id/index.php/journal/article/view/3460 http://www.ijtech.eng.ui.ac.id/index.php/journal/article/view/3460/599 http://www.ijtech.eng.ui.ac.id/index.php/journal/article/downloadSuppFile/3460/1853 |
Daftar Isi:
- The routine daily activities that tend to be sedentary and repetitive may cause severe health problems. This issue has encouraged researchers to design a system to detect and record people activities in real time and thus encourage them to do more physical exercise. By utilizing sensors embedded in a smartphone, many research studies have been conducted to try to recognize user activity. The most common sensors used for this purpose are accelerometers and gyroscopes; however, we found out that a gravity sensor has significant potential to be utilized as well. In this paper, we propose a novel method to recognize activities using the combination of an accelerometer and gravity sensor. We design a simple hierarchical system with the purpose of developing a more energy efficient application to be implemented in smartphones. We achieved an average of 95% for the activity recognition accuracy, and we also succeed at proving that our work is more energy efficient compared to other works.