CLC number: TP391
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2016-03-17
Cited: 5
Clicked: 8666
Miguel Oliver, Francisco Montero, José Pascual Molina, Pascual González, Antonio Fernández-Caballero. Multi-camera systems for rehabilitation therapies: a study of the precision of Microsoft Kinect sensors[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(4): 348-364.
@article{title="Multi-camera systems for rehabilitation therapies: a study of the precision of Microsoft Kinect sensors",
author="Miguel Oliver, Francisco Montero, José Pascual Molina, Pascual González, Antonio Fernández-Caballero",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="17",
number="4",
pages="348-364",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1500347"
}
%0 Journal Article
%T Multi-camera systems for rehabilitation therapies: a study of the precision of Microsoft Kinect sensors
%A Miguel Oliver
%A Francisco Montero
%A José Pascual Molina
%A Pascual González
%A Antonio Fernández-Caballero
%J Frontiers of Information Technology & Electronic Engineering
%V 17
%N 4
%P 348-364
%@ 2095-9184
%D 2016
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1500347
TY - JOUR
T1 - Multi-camera systems for rehabilitation therapies: a study of the precision of Microsoft Kinect sensors
A1 - Miguel Oliver
A1 - Francisco Montero
A1 - José Pascual Molina
A1 - Pascual González
A1 - Antonio Fernández-Caballero
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 17
IS - 4
SP - 348
EP - 364
%@ 2095-9184
Y1 - 2016
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1500347
Abstract: This paper seeks to determine how the overlap of several infrared beams affects the tracked position of the user, depending on the angle of incidence of light, distance to the target, distance between sensors, and the number of capture devices used. We also try to show that under ideal conditions using several kinect sensors increases the precision of the data collected. The results obtained can be used in the design of telerehabilitation environments in which several RGB-D cameras are needed to improve precision or increase the tracking range. A numerical analysis of the results is included and comparisons are made with the results of other studies. Finally, we describe a system that implements intelligent methods for the rehabilitation of patients based on the results of the tests carried out.
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