| Paper: | SS-2.1 | ||
| Session: | Multi-Sensory Processing for Context-Aware Computing | ||
| Time: | Tuesday, May 18, 13:00 - 13:20 | ||
| Presentation: | Special Session Lecture | ||
| Topic: | Special Sessions: Multi-sensory Processing for Context-Aware Computing | ||
| Title: | OFFICE PRESENCE DETECTION USING MULTIMODAL CONTEXT INFORMATION | ||
| Authors: | Xiao Huang; Michigan State University | ||
| Juyang Weng; Michigan State University | |||
| Zhengyou Zhang; Microsoft Research | |||
| Abstract: | An office presence detection system is presented in this paper. Context information from multi-sensory inputs is integrated to infer a user's activities in an office. We design a layeredarchitecture to model human activities with differentgranularities. An IHDR (Incremental Hierarchical DiscriminantRegression) tree is used to automatically generate models foracoustic signals from unsegmented auditory streams, with a highadaptive capability to new settings. Hidden Markov Models (HMM)are implemented to detect human motion patterns. The outputs ofthe above two components are feed into high-level HMMs to analyzehuman activities. Experimental results of the real-time prototypesystem are reported. | ||
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