Proposing a Recognition System of Gestures Using MobilenetV2 Combining Single Shot Detector Network for Smart-Home Applications
The paper proposes a system for identifying gestures and actions in smart homes. The proposed method is based on MobilenetV2 feature extraction combining with single shot detector (SSD) network. We used eleven types of gestures of walking, sitting down, falling back, wearing shoes, waving hands, fal...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/6610461 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832566029805420544 |
---|---|
author | Phat Nguyen Huu Huong Nguyen Thi Thu Quang Tran Minh |
author_facet | Phat Nguyen Huu Huong Nguyen Thi Thu Quang Tran Minh |
author_sort | Phat Nguyen Huu |
collection | DOAJ |
description | The paper proposes a system for identifying gestures and actions in smart homes. The proposed method is based on MobilenetV2 feature extraction combining with single shot detector (SSD) network. We used eleven types of gestures of walking, sitting down, falling back, wearing shoes, waving hands, falling down, smoking, baby crawling, standing up, reading, and typing for recognizing the gestures. In this system, the data are captured from the camera of mobile devices that are used to detect the object. The results are obtained objects on the frame by a bounding box. The results show that the system meets the requirements with an accuracy of over 90% that is suitable for real application. |
format | Article |
id | doaj-art-e0179080b66f4cc3b8d64f6b091234f5 |
institution | Kabale University |
issn | 2090-0147 2090-0155 |
language | English |
publishDate | 2021-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Electrical and Computer Engineering |
spelling | doaj-art-e0179080b66f4cc3b8d64f6b091234f52025-02-03T01:05:26ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552021-01-01202110.1155/2021/66104616610461Proposing a Recognition System of Gestures Using MobilenetV2 Combining Single Shot Detector Network for Smart-Home ApplicationsPhat Nguyen Huu0Huong Nguyen Thi Thu1Quang Tran Minh2School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, VietnamSchool of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, VietnamDepartment of Information Systems, Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet, District 10, Ho Chi Minh, VietnamThe paper proposes a system for identifying gestures and actions in smart homes. The proposed method is based on MobilenetV2 feature extraction combining with single shot detector (SSD) network. We used eleven types of gestures of walking, sitting down, falling back, wearing shoes, waving hands, falling down, smoking, baby crawling, standing up, reading, and typing for recognizing the gestures. In this system, the data are captured from the camera of mobile devices that are used to detect the object. The results are obtained objects on the frame by a bounding box. The results show that the system meets the requirements with an accuracy of over 90% that is suitable for real application.http://dx.doi.org/10.1155/2021/6610461 |
spellingShingle | Phat Nguyen Huu Huong Nguyen Thi Thu Quang Tran Minh Proposing a Recognition System of Gestures Using MobilenetV2 Combining Single Shot Detector Network for Smart-Home Applications Journal of Electrical and Computer Engineering |
title | Proposing a Recognition System of Gestures Using MobilenetV2 Combining Single Shot Detector Network for Smart-Home Applications |
title_full | Proposing a Recognition System of Gestures Using MobilenetV2 Combining Single Shot Detector Network for Smart-Home Applications |
title_fullStr | Proposing a Recognition System of Gestures Using MobilenetV2 Combining Single Shot Detector Network for Smart-Home Applications |
title_full_unstemmed | Proposing a Recognition System of Gestures Using MobilenetV2 Combining Single Shot Detector Network for Smart-Home Applications |
title_short | Proposing a Recognition System of Gestures Using MobilenetV2 Combining Single Shot Detector Network for Smart-Home Applications |
title_sort | proposing a recognition system of gestures using mobilenetv2 combining single shot detector network for smart home applications |
url | http://dx.doi.org/10.1155/2021/6610461 |
work_keys_str_mv | AT phatnguyenhuu proposingarecognitionsystemofgesturesusingmobilenetv2combiningsingleshotdetectornetworkforsmarthomeapplications AT huongnguyenthithu proposingarecognitionsystemofgesturesusingmobilenetv2combiningsingleshotdetectornetworkforsmarthomeapplications AT quangtranminh proposingarecognitionsystemofgesturesusingmobilenetv2combiningsingleshotdetectornetworkforsmarthomeapplications |