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Dynamic real-time segmentation and recognition of activities using a multi-feature windowing approach
Ahmad Shahi
, Brendon J. Woodford
,
Hanhe Lin
Computing
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
15
Citations (Scopus)
Overview
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Dive into the research topics of 'Dynamic real-time segmentation and recognition of activities using a multi-feature windowing approach'. Together they form a unique fingerprint.
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Keyphrases
Activity Recognition
100%
Bayesian Classifier
100%
Activity Feature
100%
Multi-feature
100%
Nave Bayesian
100%
Real-time Recognition
100%
Windowing Approach
100%
Real-time Segmentation
100%
Sensor Data
50%
Sensory Data
50%
Window Size
50%
Smart Home
50%
Suboptimal Choice
50%
Statistical Information
50%
Home Testing
50%
Multiple Residents
50%
Online Segmentation
50%
Online Event Detection
50%
Sensor Event
50%
Real-time Requirements
50%
Online Signature Verification
50%
Offline Modeling
50%
Computer Science
Windowing
100%
Bayesian Classifier
66%
Activity Recognition
66%
Experimental Result
33%
Time Requirement
33%
Statistical Information
33%
Event Detection
33%