A simple Hierarchical Activity Recognition System Using a Gravity Sensor and Accelerometer on a Smartphone
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2016-07-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | http://ijtech.eng.ui.ac.id/article/view/1891 |
| _version_ | 1797972787765182464 |
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| author | Alvin Prayuda Juniarta Dwiyantoro I Gde Dharma Nugraha Deokjai Choi |
| author_facet | Alvin Prayuda Juniarta Dwiyantoro I Gde Dharma Nugraha Deokjai Choi |
| author_sort | Alvin Prayuda Juniarta Dwiyantoro |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T03:53:57Z |
| format | Article |
| id | doaj.art-3f8dd0533c6c401692f55b4608869bba |
| institution | Directory Open Access Journal |
| issn | 2086-9614 2087-2100 |
| language | English |
| last_indexed | 2024-04-11T03:53:57Z |
| publishDate | 2016-07-01 |
| publisher | Universitas Indonesia |
| record_format | Article |
| series | International Journal of Technology |
| spelling | doaj.art-3f8dd0533c6c401692f55b4608869bba2023-01-02T01:02:21ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002016-07-017583183910.14716/ijtech.v7i5.18911891A simple Hierarchical Activity Recognition System Using a Gravity Sensor and Accelerometer on a SmartphoneAlvin Prayuda Juniarta Dwiyantoro0I Gde Dharma Nugraha1Deokjai Choi2School of Electronics & Computer Engineering, Chonnam National University, Gwangju 61186, South KoreaSchool of Electronics & Computer Engineering, Chonnam National University, Gwangju 61186, South KoreaSchool of Electronics & Computer Engineering, Chonnam National University, Gwangju 61186, South KoreaThe 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.http://ijtech.eng.ui.ac.id/article/view/1891AccelerometerActivity recognitionGravity sensorSmartphone |
| spellingShingle | Alvin Prayuda Juniarta Dwiyantoro I Gde Dharma Nugraha Deokjai Choi A simple Hierarchical Activity Recognition System Using a Gravity Sensor and Accelerometer on a Smartphone International Journal of Technology Accelerometer Activity recognition Gravity sensor Smartphone |
| title | A simple Hierarchical Activity Recognition System Using a Gravity Sensor and Accelerometer on a Smartphone |
| title_full | A simple Hierarchical Activity Recognition System Using a Gravity Sensor and Accelerometer on a Smartphone |
| title_fullStr | A simple Hierarchical Activity Recognition System Using a Gravity Sensor and Accelerometer on a Smartphone |
| title_full_unstemmed | A simple Hierarchical Activity Recognition System Using a Gravity Sensor and Accelerometer on a Smartphone |
| title_short | A simple Hierarchical Activity Recognition System Using a Gravity Sensor and Accelerometer on a Smartphone |
| title_sort | simple hierarchical activity recognition system using a gravity sensor and accelerometer on a smartphone |
| topic | Accelerometer Activity recognition Gravity sensor Smartphone |
| url | http://ijtech.eng.ui.ac.id/article/view/1891 |
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