Title :
User behaviour recognition for interacting with an artistic mobile application
Author :
Hausmann, Jody ; Salvi, Kevin ; Van Zaen, Jerome ; Hindle, Adrian ; Deriaz, Michel
Author_Institution :
Inst. of Services Sci., Univ. of Geneva, Geneva, Switzerland
Abstract :
Interacting with smartphones generally requires direct input from the user. We investigated a novel way based on the user´s behaviour to interact directly with a phone. In this paper, we present MoveYourStory, a mobile application that generates a movie composed of small video clips selected according to the user´s position and his current behaviour when the user is moving. Towards this end, we have implemented an activity recognition module that is able to recognise current activities, like walking, bicycling or travelling in a vehicle using the accelerometer and the GPS embedded in a smartphone. Moreover, we added different walking intensity levels to the recognition algorithm, as well as the possibility of using the application in any position. A user study was done to validate our algorithm. Overall, we achieved 96.7% recognition accuracy for walking activities and 87.5% for the bicycling activity.
Keywords :
human computer interaction; humanities; image recognition; mobile computing; GPS; MoveYourStory; accelerometer; activity recognition module; artistic mobile application; bicycling activity; small video clips; smartphones; user behaviour recognition; walking intensity levels; Global Positioning System; Legged locomotion; Motion pictures; Vehicles; Accelerometer; Activity Recognition; Context-awarness; GPS; Smartphone;
Conference_Titel :
Multimedia Computing and Systems (ICMCS), 2014 International Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4799-3823-0
DOI :
10.1109/ICMCS.2014.6911164