Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
Next issue: May 2024
Avg review time: 55 days
Avg accept to publ: 60 days
APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


TRAFFIC STATS

2,579,810 unique visits
1,024,879 downloads
Since November 1, 2009



Robots online now
bingbot
Googlebot
SemanticScholar


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (2024)
 
     »   Issue 1 / 2024
 
 
 Volume 23 (2023)
 
     »   Issue 4 / 2023
 
     »   Issue 3 / 2023
 
     »   Issue 2 / 2023
 
     »   Issue 1 / 2023
 
 
 Volume 22 (2022)
 
     »   Issue 4 / 2022
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
  View all issues  


FEATURED ARTICLE

Application of the Voltage Control Technique and MPPT of Stand-alone PV System with Storage, HIVZIEFENDIC, J., VUIC, L., LALE, S., SARIC, M.
Issue 1/2022

AbstractPlus






LATEST NEWS

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

Read More »


    
 

  1/2018 - 16

 HIGH-IMPACT PAPER 

A Brief Review on the Validity and Reliability of Microsoft Kinect Sensors for Functional Assessment Applications

DIAZ-MONTERROSAS, P. R. See more information about DIAZ-MONTERROSAS, P. R. on SCOPUS See more information about DIAZ-MONTERROSAS, P. R. on IEEExplore See more information about DIAZ-MONTERROSAS, P. R. on Web of Science, POSADA-GOMEZ, R. See more information about  POSADA-GOMEZ, R. on SCOPUS See more information about  POSADA-GOMEZ, R. on SCOPUS See more information about POSADA-GOMEZ, R. on Web of Science, MARTINEZ-SIBAJA, A. See more information about  MARTINEZ-SIBAJA, A. on SCOPUS See more information about  MARTINEZ-SIBAJA, A. on SCOPUS See more information about MARTINEZ-SIBAJA, A. on Web of Science, AGUILAR-LASSERRE, A. A. See more information about  AGUILAR-LASSERRE, A. A. on SCOPUS See more information about  AGUILAR-LASSERRE, A. A. on SCOPUS See more information about AGUILAR-LASSERRE, A. A. on Web of Science, JUAREZ-MARTINEZ, U. See more information about  JUAREZ-MARTINEZ, U. on SCOPUS See more information about  JUAREZ-MARTINEZ, U. on SCOPUS See more information about JUAREZ-MARTINEZ, U. on Web of Science, TRUJILLO-CABALLERO, J. C. See more information about TRUJILLO-CABALLERO, J. C. on SCOPUS See more information about TRUJILLO-CABALLERO, J. C. on SCOPUS See more information about TRUJILLO-CABALLERO, J. C. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,083 KB) | Citation | Downloads: 1,266 | Views: 4,333

Author keywords
computer vision, human computer interaction, pervasive computing, reviews, statistical analysis

References keywords
kinect(24), microsoft(10), validity(7), sensors(7), sensor(7), gait(7), recognition(6), measurement(6), posture(5), motion(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-02-28
Volume 18, Issue 1, Year 2018, On page(s): 131 - 136
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.01016
Web of Science Accession Number: 000426449500016
SCOPUS ID: 85043275331

Abstract
Quick view
Full text preview
Kinect sensors are Human Computer Interaction devices oriented to entertainment, but have rapidly spread to several fields such as health care, physical therapy, and training. Their multiple advantages place them at present in a competitive situation compared to traditional solutions. On the other hand, their accuracy and precision for sensitive human applications are still under critical examination. This paper presents a brief literature review on the validity and reliability of the first and the second generation Kinect sensors to get an idea of the feasibility of their propagation as measuring devices in functional assessment applications. Results are difficult to compare because they depend largely on the type of measured elements, the angle of view of the measurement, the distance to the sensor, and even the diversity of human motion features. Nonetheless, they suggest that Kinect sensors are capable of properly identifying posture and motion, but not body or joint rotations, unusual postures, or occlusions.


References | Cited By  «-- Click to see who has cited this paper

[1] D. Regazzoni, G. De Vecchi, and C. Rizzi, "RGB cams vs RGB-D sensors?: Low cost motion capture technologies performances and limitations," Journal of Manufacturing Systems, vol. 33, no. 4, pp. 719–728, 2014.
[CrossRef] [Web of Science Times Cited 35] [SCOPUS Times Cited 50]


[2] B. Bonnechère et al., "Validity and reliability of the Kinect within functional assessment activities: Comparison with standard stereophotogrammetry," Gait and Posture, vol. 39, no. 1, pp. 593–598, 2014.
[CrossRef] [Web of Science Times Cited 185] [SCOPUS Times Cited 212]


[3] P. Plantard et al., "Pose Estimation with a Kinect for Ergonomic Studies: Evaluation of the Accuracy Using a Virtual Mannequin," Sensors, vol. 15, no. 1, pp. 1785–1803, Jan. 2015.
[CrossRef] [Web of Science Times Cited 76] [SCOPUS Times Cited 89]


[4] O. Geman and H. Costin, "Automatic Assessing of Tremor Severity Using Nonlinear Dynamics, Artificial Neural Networks and Neuro-Fuzzy Classifier," Advances in Electrical and Computer Engineering, vol. 14, no. 1, pp. 133–138, Feb. 2014.
[CrossRef] [Full Text] [Web of Science Times Cited 28] [SCOPUS Times Cited 28]


[5] B. Müller et al., "Validation of enhanced kinect sensor based motion capturing for gait assessment," PLOS ONE, vol. 12, no. 4, p. e0175813, Apr. 2017.
[CrossRef] [Web of Science Times Cited 92] [SCOPUS Times Cited 112]


[6] G. Blumrosen et al., "A Real-Time Kinect Signature-Based Patient Home Monitoring System," Sensors, vol. 16, no. 11, p. 1965, Nov. 2016.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 31]


[7] Z. Ren et al., "Robust part-based hand gesture recognition using kinect sensor," IEEE Transactions on Multimedia, vol. 15, no. 5, pp. 1110–1120, 2013.
[CrossRef] [Web of Science Times Cited 492] [SCOPUS Times Cited 632]


[8] R. a Clark et al., "Validity of the Microsoft Kinect for assessment of postural control.," Gait & posture, vol. 36, no. 3, pp. 372–7, Jul. 2012.
[CrossRef] [Web of Science Times Cited 454] [SCOPUS Times Cited 541]


[9] S. Obdrzalek et al., "Accuracy and robustness of Kinect pose estimation in the context of coaching of elderly population," in 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012, pp. 1188–1193.
[CrossRef] [SCOPUS Times Cited 288]


[10] L. Chen, H. Wei, and J. Ferryman, "A survey of human motion analysis using depth imagery," Pattern Recognition Letters, vol. 34, no. 15, pp. 1995–2006, 2013.
[CrossRef] [Web of Science Times Cited 249] [SCOPUS Times Cited 317]


[11] R. Lun and W. Zhao, "A Survey of Applications and Human Motion Recognition with Microsoft Kinect," International Journal of Pattern Recognition and Artificial Intelligence, vol. 29, no. 5, p. 1555008, Aug. 2015.
[CrossRef] [Web of Science Times Cited 179] [SCOPUS Times Cited 215]


[12] T. Mallick, P. P. Das, and A. K. Majumdar, "Characterizations of Noise in Kinect Depth Images: A Review," IEEE Sensors Journal, vol. 14, no. 6, pp. 1731–1740, Jun. 2014.
[CrossRef] [Web of Science Times Cited 100] [SCOPUS Times Cited 128]


[13] P. K. Pisharady and M. Saerbeck, "Recent methods and databases in vision-based hand gesture recognition: A review," Computer Vision and Image Understanding, vol. 141, pp. 152–165, Dec. 2015.
[CrossRef] [Web of Science Times Cited 185] [SCOPUS Times Cited 268]


[14] T. D'Orazio et al., "Recent trends in gesture recognition: how depth data has improved classical approaches," Image and Vision Computing, vol. 52, pp. 56–72, Aug. 2016.
[CrossRef] [Web of Science Times Cited 36] [SCOPUS Times Cited 49]


[15] D. Webster and O. Celik, "Systematic review of Kinect applications in elderly care and stroke rehabilitation," Journal of neuroengineering and rehabilitation, vol. 11, p. 108, 2014.
[CrossRef] [Web of Science Times Cited 267] [SCOPUS Times Cited 332]


[16] J. Han et al., "Enhanced computer vision with Microsoft Kinect sensor: A review," IEEE Transactions on Cybernetics, vol. 43, no. 5, pp. 1318–1334, 2013.
[CrossRef] [Web of Science Times Cited 873] [SCOPUS Times Cited 1143]


[17] T. Breuer, C. Bodensteiner, and M. Arens, "Low-cost commodity depth sensor comparison and accuracy analysis," in Electro-Optical Remote Sensing, Photonic Technologies, and Applications, 2014, vol. 9250, p. 92500G.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 36]


[18] R. A. Clark et al., "Concurrent validity of the Microsoft Kinect for assessment of spatiotemporal gait variables," Journal of Biomechanics, vol. 46, no. 15, pp. 2722–2725, 2013.
[CrossRef] [Web of Science Times Cited 163] [SCOPUS Times Cited 181]


[19] A. Schmitz et al., "Accuracy and repeatability of joint angles measured using a single camera markerless motion capture system," Journal of Biomechanics, vol. 47, no. 2, pp. 587–591, 2014.
[CrossRef] [Web of Science Times Cited 109] [SCOPUS Times Cited 121]


[20] B. Galna et al., "Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson's disease," Gait & posture, vol. 39, no. 4, pp. 1062–8, Apr. 2014.
[CrossRef] [Web of Science Times Cited 370] [SCOPUS Times Cited 420]


[21] Y. Yang et al., "Reliability and Validity of Kinect RGB-D Sensor for Assessing Standing Balance," IEEE Sensors Journal, vol. 14, no. 5, pp. 1633–1638, May 2014.
[CrossRef] [Web of Science Times Cited 69] [SCOPUS Times Cited 83]


[22] R. A. Clark et al., "Reliability and concurrent validity of the Microsoft Xbox One Kinect for assessment of standing balance and postural control," Gait and Posture, vol. 42, no. 2, pp. 210–213, 2015.
[CrossRef] [Web of Science Times Cited 118] [SCOPUS Times Cited 130]


[23] M. E. Huber et al., "Validity and reliability of Kinect skeleton for measuring shoulder joint angles: A feasibility study," Physiotherapy (United Kingdom), vol. 101, no. 4, 2015.
[CrossRef] [Web of Science Times Cited 81] [SCOPUS Times Cited 99]


[24] X. Xu and R. W. McGorry, "The validity of the first and second generation Microsoft Kinect for identifying joint center locations during static postures," Applied Ergonomics, vol. 49, pp. 47–54, 2015.
[CrossRef] [Web of Science Times Cited 100] [SCOPUS Times Cited 124]


[25] J. Darby et al., "An evaluation of 3D head pose estimation using the Microsoft Kinect v2," Gait & Posture, vol. 48, pp. 83–88, 2016.
[CrossRef] [Web of Science Times Cited 21] [SCOPUS Times Cited 25]


[26] H. Gonzalez-Jorge et al., "Metrological evaluation of Microsoft Kinect and Asus Xtion sensors," Measurement: Journal of the International Measurement Confederation, vol. 46, no. 6, pp. 1800–1806, 2013.
[CrossRef] [Web of Science Times Cited 104] [SCOPUS Times Cited 131]


[27] M. Bueno et al., "Metrological evaluation of Kinect Fusion and its comparison with Microsoft Kinect sensor," Measurement: Journal of the International Measurement Confederation, vol. 73, pp. 137–145, 2015.
[CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 18]


[28] H. Gonzalez-Jorge et al., "Metrological comparison between Kinect i and Kinect II sensors," Measurement: Journal of the International Measurement Confederation, vol. 70, pp. 21–26, 2015.
[CrossRef] [Web of Science Times Cited 88] [SCOPUS Times Cited 99]


[29] A. Corti et al., "A metrological characterization of the Kinect V2 time-of-flight camera," Robotics and Autonomous Systems, vol. 75, pp. 584–594, Jan. 2016.
[CrossRef] [Web of Science Times Cited 86] [SCOPUS Times Cited 113]




References Weight

Web of Science® Citations for all references: 4,629 TCR
SCOPUS® Citations for all references: 6,015 TCR

Web of Science® Average Citations per reference: 154 ACR
SCOPUS® Average Citations per reference: 201 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-05-18 03:22 in 195 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: 


DNS Made Easy