A simple hierarchical activity recognition system using a gravity sensor and accelerometer on a smartphone
I Gde Dharma Nugraha, Deokjai Choi (Faculty of Engineering, Universitas Indonesia, 2016)
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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. |
No. Panggil : | UI-IJTECH 7:5 (2016) |
Entri utama-Nama orang : | |
Subjek : | |
Penerbitan : | Depok: Faculty of Engineering, Universitas Indonesia, 2016 |
Sumber Pengatalogan : | LibUI eng rda |
ISSN : | 20869614 |
Majalah/Jurnal : | International Journal of Technology |
Volume : | Vol. 7, No. 5, July 2016: Hal. 831-839 |
Tipe Konten : | text |
Tipe Media : | unmediated |
Tipe Carrier : | volume |
Akses Elektronik : | http://dx.doi.org/10.14716/ijtech.v7i5.3460 |
Institusi Pemilik : | Universitas Indonesia |
Lokasi : | Perpustakaan UI, Lantai 4 R. Koleksi Jurnal |
No. Panggil | No. Barkod | Ketersediaan |
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UI-IJTECH 7:5 (2016) | 08-23-48035245 | TERSEDIA |
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