A Human Activity Recognition System Based on Dynamic Clustering of Skeleton Data

A Human Activity Recognition System Based on Dynamic Clustering of Skeleton Data

Human activity recognition is an important area in computer vision, with its wide range of applications including ambient assisted living. In this paper, an activity recognition system based on skeleton data extracted from a depth camera is presented. The system makes use of machine learning techniq...

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Bibliographic Details
Main Authors: Alessandro Manzi, Paolo Dario, Filippo Cavallo
Format: Article
Language:English
Published: MDPI AG 2017-05-01
Series:Sensors
Subjects:
human activity recognition
clustering, x-means
SVM, SMO
skeleton data
depth camera
RGB-D camera
assisted living
Online Access:http://www.mdpi.com/1424-8220/17/5/1100

Internet

http://www.mdpi.com/1424-8220/17/5/1100

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