Browsing by Author "Kanika, Girish"
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- Mobile orientation system based on inertial sensorsPublication . Kanika, Girish; Figueiredo, Lino Manuel BaptistaMobile devices have become a part of digital livelihood. Every user carries phones with them throughout the day as they drive, walk, run and work. Understanding users doing in the physical world allows the smarter way of interacting. The Activity Recognition is built on top of the sensors available in a device. These sensors include GPS sensors, temperature sensors, direction sensors (i.e., magnetic compasses), and acceleration sensors (i.e., accelerometers). This paper describes and evaluates a system that uses phone-based accelerometers to perform activity recognition analysis, a task which involves recognition of on-board vehicles that runs in underground environment (without GPS) and identifying the metro starting, moving and stopping accelerations. To implement the system the data collected labelled accelerometer data from arrival to destination stops and then aggregated the time series data in different positions into samples. An algorithm is developed using machine learning predictive analysis.