Real time algorithm for efficient HCI employing features obtained from MYO sensor

Ehab H. El-Shazly, Moataz M. Abdelwahab, Atsushi Shimada, Rin-Ichiro Taniguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents a new gesture recognition algorithm that uses different features obtained from MYO sensor. To preserve the spatial and temporal alignment for different features of each movement, Two Dimensional Principal Component Analysis 2DPCA is employed to obtain the dominant features by processing the obtained data in its 2D form. Canonical Correlation Analysis CCA is used to find a space where the projection of similar training/testing pairs become highly correlated. The testing sequences is matched to the training set that gives maximum correlation in the new space obtained by CCA. Two new data sets for common HCI applications (gaming and air writing) were collected at LIMU lab, Kyushu university and used to verify the efficiency of the proposed algorithm. Low processing complexity, efficient storage requirement, high accuracy and fast decision are factors that promotes our algorithm for real time implementation.

Original languageEnglish
Title of host publication2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509009169
DOIs
Publication statusPublished - Mar 2 2017
Event59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 - Abu Dhabi, United Arab Emirates
Duration: Oct 16 2016Oct 19 2016

Publication series

NameMidwest Symposium on Circuits and Systems
ISSN (Print)1548-3746

Other

Other59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016
CountryUnited Arab Emirates
CityAbu Dhabi
Period10/16/1610/19/16

Fingerprint

Human computer interaction
Sensors
Gesture recognition
Testing
Processing
Principal component analysis
Air

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Cite this

El-Shazly, E. H., Abdelwahab, M. M., Shimada, A., & Taniguchi, R-I. (2017). Real time algorithm for efficient HCI employing features obtained from MYO sensor. In 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016 [7870154] (Midwest Symposium on Circuits and Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MWSCAS.2016.7870154

Real time algorithm for efficient HCI employing features obtained from MYO sensor. / El-Shazly, Ehab H.; Abdelwahab, Moataz M.; Shimada, Atsushi; Taniguchi, Rin-Ichiro.

2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7870154 (Midwest Symposium on Circuits and Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

El-Shazly, EH, Abdelwahab, MM, Shimada, A & Taniguchi, R-I 2017, Real time algorithm for efficient HCI employing features obtained from MYO sensor. in 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016., 7870154, Midwest Symposium on Circuits and Systems, Institute of Electrical and Electronics Engineers Inc., 59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016, Abu Dhabi, United Arab Emirates, 10/16/16. https://doi.org/10.1109/MWSCAS.2016.7870154
El-Shazly EH, Abdelwahab MM, Shimada A, Taniguchi R-I. Real time algorithm for efficient HCI employing features obtained from MYO sensor. In 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 7870154. (Midwest Symposium on Circuits and Systems). https://doi.org/10.1109/MWSCAS.2016.7870154
El-Shazly, Ehab H. ; Abdelwahab, Moataz M. ; Shimada, Atsushi ; Taniguchi, Rin-Ichiro. / Real time algorithm for efficient HCI employing features obtained from MYO sensor. 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016. Institute of Electrical and Electronics Engineers Inc., 2017. (Midwest Symposium on Circuits and Systems).
@inproceedings{94d9970f08cb4c22862b2a0c28af47ff,
title = "Real time algorithm for efficient HCI employing features obtained from MYO sensor",
abstract = "This paper presents a new gesture recognition algorithm that uses different features obtained from MYO sensor. To preserve the spatial and temporal alignment for different features of each movement, Two Dimensional Principal Component Analysis 2DPCA is employed to obtain the dominant features by processing the obtained data in its 2D form. Canonical Correlation Analysis CCA is used to find a space where the projection of similar training/testing pairs become highly correlated. The testing sequences is matched to the training set that gives maximum correlation in the new space obtained by CCA. Two new data sets for common HCI applications (gaming and air writing) were collected at LIMU lab, Kyushu university and used to verify the efficiency of the proposed algorithm. Low processing complexity, efficient storage requirement, high accuracy and fast decision are factors that promotes our algorithm for real time implementation.",
author = "El-Shazly, {Ehab H.} and Abdelwahab, {Moataz M.} and Atsushi Shimada and Rin-Ichiro Taniguchi",
year = "2017",
month = "3",
day = "2",
doi = "10.1109/MWSCAS.2016.7870154",
language = "English",
series = "Midwest Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016",
address = "United States",

}

TY - GEN

T1 - Real time algorithm for efficient HCI employing features obtained from MYO sensor

AU - El-Shazly, Ehab H.

AU - Abdelwahab, Moataz M.

AU - Shimada, Atsushi

AU - Taniguchi, Rin-Ichiro

PY - 2017/3/2

Y1 - 2017/3/2

N2 - This paper presents a new gesture recognition algorithm that uses different features obtained from MYO sensor. To preserve the spatial and temporal alignment for different features of each movement, Two Dimensional Principal Component Analysis 2DPCA is employed to obtain the dominant features by processing the obtained data in its 2D form. Canonical Correlation Analysis CCA is used to find a space where the projection of similar training/testing pairs become highly correlated. The testing sequences is matched to the training set that gives maximum correlation in the new space obtained by CCA. Two new data sets for common HCI applications (gaming and air writing) were collected at LIMU lab, Kyushu university and used to verify the efficiency of the proposed algorithm. Low processing complexity, efficient storage requirement, high accuracy and fast decision are factors that promotes our algorithm for real time implementation.

AB - This paper presents a new gesture recognition algorithm that uses different features obtained from MYO sensor. To preserve the spatial and temporal alignment for different features of each movement, Two Dimensional Principal Component Analysis 2DPCA is employed to obtain the dominant features by processing the obtained data in its 2D form. Canonical Correlation Analysis CCA is used to find a space where the projection of similar training/testing pairs become highly correlated. The testing sequences is matched to the training set that gives maximum correlation in the new space obtained by CCA. Two new data sets for common HCI applications (gaming and air writing) were collected at LIMU lab, Kyushu university and used to verify the efficiency of the proposed algorithm. Low processing complexity, efficient storage requirement, high accuracy and fast decision are factors that promotes our algorithm for real time implementation.

UR - http://www.scopus.com/inward/record.url?scp=85015832627&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85015832627&partnerID=8YFLogxK

U2 - 10.1109/MWSCAS.2016.7870154

DO - 10.1109/MWSCAS.2016.7870154

M3 - Conference contribution

AN - SCOPUS:85015832627

T3 - Midwest Symposium on Circuits and Systems

BT - 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -