On-line version ISSN 1870-9044
Polibits n.44 México Jul./Dec. 2011
User Preference Model for Conscious Services in Smart Environments
Andrey Ronzhin1, Jesus Savage2, and Sergey Glazkov3
1 St. Petersburg State University, 11, Universitetskaya nab., St. Petersburg, 199034, Russia.
2 Universidad Nacional Autónoma de México, México City, México (email: email@example.com).
3 Russian Academy of Sciences St. Petersburg Institute for Informatics and Automation RAS, St. Petersburg, 39, 14 Line, 199178, Russia (email: firstname.lastname@example.org).
Manuscript received June 29, 2011.
Manuscript accepted for publication August 25, 2011.
Awareness of user preferences and analysis of the current situation makes capable to provide user with invasive services in various applications of smart environments. In smart meeting rooms contextaware systems analyze user behavior based on multimodal sensor data and provide proactive services for meeting support, including active control PTZ (pan, tilt and zoom) cameras, microphone arrays, context dependent automatic archiving and webtransmission of meeting data at the interaction. History of interaction sessions between a user and a service is used for knowledge accumulation in order to forecast user behavior during the next visit. The user preference model based on audiovisual data recorded during interaction and statistics of his/her speech activity, requests, movement trajectories and other parameters was implemented for the developed mobile information robot and smart meeting room.
Key words: User preferences, context awareness, action recognition, mobile robot, smart meeting room.
This work is supported by SaintPetersburg State University (project # 188.8.131.521), the Russian Federal Targeted Program (contracts #P876 and #14.740.11.0357) of the Ministry of Science and Education of Russia.
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