Automatic Human Body Feature Extraction in Serious Games applied to rehabilitation Robotics

Please use this identifier to cite or link to this item:
Información del item - Informació de l'item - Item information
Title: Automatic Human Body Feature Extraction in Serious Games applied to rehabilitation Robotics
Authors: Mogena, Eva | Núñez Trujillo, Pedro | González, José Luis
Keywords: Robotics in rehabilitation | RGBD image analysis | SVM | Decision tree | KNN
Knowledge Area: Ciencia de la Computación e Inteligencia Artificial
Issue Date: Jul-2017
Publisher: Red de Agentes Físicos
Citation: Journal of Physical Agents. 2017, 8(1): 25-32. doi:10.14198/JoPha.2017.8.1.04
Abstract: Current modern society is characterized by an increasing level of elderly population. This population group is usually suffers important physical and cognitive impairments, which implies that older people need care, attention and supervision by health professionals. In this paper, a new system for supervising rehabilitation therapies using autonomous robots for elderly people is presented. The therapy explained in this work is a modified version of the classical ’Simon Says’ game, where a robot executes a list of motions and gestures that the patient has to repeat. The success of this therapy from the point of view of the software is to provide from an algorithm that detect and classified the gestures that the human is imitating. The algorithm proposed in this paper is based on the analysis of sequences of images acquired by a low cost RGB-D sensor. A set of human body features is detected and characterized during the motion, allowing the robot to classify the different gestures. In addition, this paper describes the human-robot interaction performed by the ’Simon Says’ game implementation. Experimental results demonstrate the robustness and accuracy of the detection and classification method, which is crucial for the development of the therapy.
Sponsor: This work has been partially supported by the MICINN Project TIN2015-65686-C5-5-R, by the Extremadura Government project GR15120, and by COMPUTAEX Foundation.
URI: |
ISSN: 1888-0258
DOI: 10.14198/JoPha.2017.8.1.04
Language: eng
Type: info:eu-repo/semantics/article
Rights: Creative Commons License Attribution-ShareAlike 4.0
Peer Review: si
Publisher version:
Appears in Collections:Journal of Physical Agents - 2017, Vol. 8, No. 1

Files in This Item:
Files in This Item:
File Description SizeFormat 
ThumbnailJoPhA_08_01_04.pdf9,81 MBAdobe PDFOpen Preview

This item is licensed under a Creative Commons License Creative Commons