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  • 标题:Survey on Context Based Input of Microenvironment through Sensors and Inference of Activity to Alert Smartphone User
  • 本地全文:下载
  • 作者:Monika Sharma ; S.R.Idate
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:5
  • DOI:10.15680/ijircce.2015.0305008
  • 出版社:S&S Publications
  • 摘要:Basic functionalities of Mobile phones have changed from mundane activities like call, SMS toperforming the tasks like navigation, tracking etc. which has made mobile units smart. This has become possible due tothe introduction of sensors. Sensors enable a mobile phone to be context aware i.e.; aware of the environment andactivities of phone and its user. Sensors are of various types and each of them has a different functionality e.g.:magnetometer, accelerometer, proximity, camera, Wi-Fi, gyroscope etc. They can be used individually or in group todetect the microenvironment (a few centimeters around a unit) activities. At the lowest level sensors take as input thecontext of user and then at the next level these are analyzed using various techniques and algorithms for the purpose ofinferring the correct activity that is being performed. At the application level according to the activities the varioustasks are executed. For example when a call activity occurs then by inferring the proximity of user the task ofautomatically call receiving is executed. These types of functionalities help the user in using their mobile unit in anefficient manner without much interference from user’s side.as all this requires the sensors to be activated for longintervals of time which in turn results in battery consumption and some performance issue. These can be dealt bystopping unnecessary processes and activating sensor only when its related activity is being performed.
  • 关键词:Microenvironment sensing; pervasive computing; context recognition; mobile sensors
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