AUTOMATIC LABELING AND VISITING PATTERNS FROM LONGITUDINAL AXIS USING ANDROID MOBILE DEVICE

Author’s Name : Adhimoolam A | Narendran M

Volume 01 Issue 03  Year 2014  ISSN No:  2349-3828  Page no: 6-9

Abstract -Wireless sensor network has gained increasing attention from the research community and people. Location aware systems are blooming on a variety of platforms from laptops to cell phones. A place is a locale that is important to a user and which carries a particular semantic meaning such as my workplace, the place we live, or favorite walking place. Most bright decisions can make by mobile devices about how to behave when they are equipped with this higher-level information. We experimentally evaluate the techniques with real, long-term data gathered from particular participants using a Place Labeling. In place of monitoring raw geographic coordinates, we are focused on human mobility patterns based on sequences of place visits most daily activities. This paper survey on place characterization in people’s everyday life related to data recorded simultaneously by android mobile devices. And understand human mobility from series of place visits, as well as visiting patterns in the distinct place. Then, we state the problem of automatic place Labeling from android mobile device data without using any geographic location information.

Keywords –Smartphone data, human mobility, place extraction, place visit, place labeling, prediction