Measuring and modeling human behavior is a very complex task. In this paper we present our initial thoughts on modeling and automatic recognition of some human activities in an office. We argue that to successfully model human activities, we need to consider both individual behavior and group dynamics. To demonstrate these theoretical approaches, we introduce an experimental system for analyzing everyday activity in our office.
- Pub Date:
- June 2007
- Computer Science - Computer Vision and Pattern Recognition;
- Computer Science - Computers and Society;
- 5 pages, ECHISE 2006 - 2nd International Workshop on Exploiting Context Histories in Smart Environments - Infrastructures and Design, 8th International Conference of Ubiquitous Computing (Ubicomp 2006), Orange County, CA, 17-21 September 2006