Sciweavers

Share
BSN
2009
IEEE

A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks

8 years 11 months ago
A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks
—Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided into section based on the primary direction of motion. When analyzing a movement, it is important to correctly locate the key events dividing portions. There exist methods for dividing certain actions using data from specific sensors. We introduce a generalized method for event annotation based on Hidden Markov Models. Genetic algorithms are used for feature selection and model parameterization. Further, collaborative techniques are explored. We validate this method on a walking dataset using inertial sensors placed on various locations on a human body. Our technique is computationally simple to allow it to run on resource constrained sensor nodes.
Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafa
Added 18 May 2010
Updated 18 May 2010
Type Conference
Year 2009
Where BSN
Authors Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafari
Comments (0)
books