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 language | English |
|---|---|
| Title of host publication | 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509009169 |
| DOIs | |
| Publication status | Published - Mar 2 2017 |
| Event | 59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 - Abu Dhabi, United Arab Emirates Duration: Oct 16 2016 → Oct 19 2016 |
Publication series
| Name | Midwest Symposium on Circuits and Systems |
|---|---|
| ISSN (Print) | 1548-3746 |
Other
| Other | 59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 |
|---|---|
| Country | United Arab Emirates |
| City | Abu Dhabi |
| Period | 10/16/16 → 10/19/16 |
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All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering
Cite this
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 proceeding › Conference contribution
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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 -