Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An office presence detection system is presented. Context information from multi-sensory inputs is integrated to infer a user's activities in an office.  design a layered architecture to model human activities with different granularities. An IHDR (incremental hierarchical discriminant regression) tree is used to generate models automatically 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.
['Xiao Huang', 'Juyang Weng', 'Zhengyou Zhang']
I am writing a research paper on a idea Office presence detection using multimodal context information
[{"from": "human", "value": "I am writing a research paper on a idea Office presence detection using multimodal context information"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An office presence detection system is presented. Context information from multi-sensory inputs is integrated to infer a user's activities in an office.  design a layered architecture to model human activities with different granularities. An IHDR (incremental hierarchical discriminant regression) tree is used to generate models automatically 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."}]