Published on December 15, 2016 by Microsoft Research
Want create site? Find Free WordPress Themes and plugins.

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 layered architecture to model human activities with different granularities. An IHDR (Incremental Hierarchical Discriminant Regression) tree is used to automatically generate models for acoustic signals from unsegmented auditory streams, with a high adaptive capability to new settings. Hidden Markov Models (HMM) are implemented to detect human motion patterns. The outputs of the above two components are fed into high-level HMMs to analyze human activities. Experimental results of the real-time prototype system are reported.

See more on this video at www.microsoft.com/en-us/research/video/multimodal-presence-detection/

Did you find apk for android? You can find new Free Android Games and apps.

Leave a Reply

1 Comment on "Multimodal Presence Detection"

Notify of
avatar

Lan _G
Guest
Lan _G
11 months 2 days ago

keep it coming! This is good shit! Long overdue!

wpDiscuz