Context Awareness on Mobile Devices

摘要：

　　Context aware computing is important for applications to provide smarter and safer service to mobile users,especially when users’ context changing rapidly or regularly.In this paper,we propose a context aware model for mobile devices based on audio and location.The information can easily obtained from sensors,e.g.,microphones and GPS.Thus,exploiting the MFCC features and the location,a Bayes Net is trained and built and will be used for context classifying in the real-time classification.The results of experiments implemented on Android 4.0 platform demonstrate promising performance,which indicates that the model is able to support real applications.

关键词： Context awareness,audio classification,location recognition

作者: ZhiAn Pan Jixiang Zhu

作者单位: Hubei Polytechnic Institute, China Wuhan University, China

会议类型: 国际会议

会议名称: 2015 International Conference on Mechanical, Electronics and Information Technology Engineering(ICMITE2015)(2015机械、电子与信息技术工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 742-747

在线出版日期: 2015-03-21（万方平台首次上网日期，不代表论文的发表时间）