A Novel Method for Automatic Detection and Classification of Movement Patterns in Short Duration Playing Activities

A Novel Method for Automatic Detection and Classification of Movement Patterns in Short Duration Playing Activities

Autonomous devices able to evaluate diverse situations without external help have become especially relevant in recent years because they can be used as an important source of relevant information about the activities performed by people (daily habits, sports performance, and health-related activiti...

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Bibliographic Details
Main Authors: Diego Rivera, Luis Cruz-Piris, Susel Fernandez, Bernardo Alarcos, Antonio Garcia, Juan R. Velasco
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Activity recognition
classification algorithms
Internet of Things
pattern recognition
sensor systems and applications
Online Access:https://ieeexplore.ieee.org/document/8470068/

Internet

https://ieeexplore.ieee.org/document/8470068/

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