This article is
- freely available
Comprehensive Context Recognizer Based on Multimodal Sensors in a Smartphone
Department of Computer Engineering, Kyung Hee University (Global Campus), 1 Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea
* Author to whom correspondence should be addressed.
Received: 24 July 2012; in revised form: 10 September 2012 / Accepted: 13 September 2012 / Published: 17 September 2012
Abstract: Recent developments in smartphones have increased the processing capabilities and equipped these devices with a number of built-in multimodal sensors, including accelerometers, gyroscopes, GPS interfaces, Wi-Fi access, and proximity sensors. Despite the fact that numerous studies have investigated the development of user-context aware applications using smartphones, these applications are currently only able to recognize simple contexts using a single type of sensor. Therefore, in this work, we introduce a comprehensive approach for context aware applications that utilizes the multimodal sensors in smartphones. The proposed system is not only able to recognize different kinds of contexts with high accuracy, but it is also able to optimize the power consumption since power-hungry sensors can be activated or deactivated at appropriate times. Additionally, the system is able to recognize activities wherever the smartphone is on a human’s body, even when the user is using the phone to make a phone call, manipulate applications, play games, or listen to music. Furthermore, we also present a novel feature selection algorithm for the accelerometer classification module. The proposed feature selection algorithm helps select good features and eliminates bad features, thereby improving the overall accuracy of the accelerometer classifier. Experimental results show that the proposed system can classify eight activities with an accuracy of 92.43%.
Keywords: context aware; smartphone; context recognition; accelerometer classification; audio classification; multimodal sensors
Article StatisticsClick here to load and display the download statistics.
Notes: Multiple requests from the same IP address are counted as one view.
Cite This Article
MDPI and ACS Style
Han, M.; Vinh, L.T.; Lee, Y.-K.; Lee, S. Comprehensive Context Recognizer Based on Multimodal Sensors in a Smartphone. Sensors 2012, 12, 12588-12605.
Han M, Vinh LT, Lee Y-K, Lee S. Comprehensive Context Recognizer Based on Multimodal Sensors in a Smartphone. Sensors. 2012; 12(9):12588-12605.
Han, Manhyung; Vinh, La The; Lee, Young-Koo; Lee, Sungyoung. 2012. "Comprehensive Context Recognizer Based on Multimodal Sensors in a Smartphone." Sensors 12, no. 9: 12588-12605.