A simple hierarchical activity recognition system using a gravity sensor and accelerometer on a smartphone

Alvin Prayuda Juniarta Dwiyantoro, I Gde Dharma Nugraha, Deokjai Choi

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)831-839
Number of pages9
JournalInternational Journal of Technology
Volume7
Issue number5
DOIs
Publication statusPublished - 1 Jan 2016

Keywords

  • Accelerometer
  • Activity recognition
  • Gravity sensor
  • Smartphone

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