A Novel HMM Distributed Classifier for the Detection of Gait Phases by Means of a Wearable Inertial Sensor Network

A Novel HMM Distributed Classifier for the Detection of Gait Phases by Means of a Wearable Inertial Sensor Network

In this work, we decided to apply a hierarchical weighted decision, proposed and used in other research fields, for the recognition of gait phases. The developed and validated novel distributed classifier is based on hierarchical weighted decision from outputs of scalar Hidden Markov Models (HMM) ap...

Full description

Bibliographic Details
Main Authors: Juri Taborri, Stefano Rossi, Eduardo Palermo, Fabrizio Patanè, Paolo Cappa
Format: Article
Language:English
Published: MDPI AG 2014-09-01
Series:Sensors
Subjects:
gait detection
Hidden Markov Models
hierarchical decision
distributed classifier
wearable sensor network
gyroscopes
Online Access:http://www.mdpi.com/1424-8220/14/9/16212

Internet

http://www.mdpi.com/1424-8220/14/9/16212

Similar Items