A Deep Learning Based Wearable Medicines Recognition System for Visually Impaired People

被引：0

作者：

Chang, Wan-Jung ^{[1
,2
]}

Yu, Yue-Xun ^{[1
]}

Chen, Jhen-Hao ^{[1
]}

Zhang, Zhi-Yao ^{[1
]}

Ko, Sung-Jie ^{[1
]}

Yang, Tsung-Han ^{[1
]}

Hsu, Chia-Hao ^{[1
,2
]}

Chen, Liang-Bi ^{[1
,2
]}

Chen, Ming-Che ^{[1
,2
]}

机构：

[1] Southern Taiwan Univ Sci & Engn, Dept Elect Engn, Tainan, Taiwan

[2] Southern Taiwan Univ Sci & Technol, Artificial Intelligence Internet Things Appl Res, Tainan, Taiwan

来源：

2019 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE CIRCUITS AND SYSTEMS (AICAS 2019) | 2019年

关键词：

Artificial intelligence over Internet of things (AIoT); deep learning; smart glasses; medicines recognition; wearable devices; visually impaired;

D O I：

10.1109/aicas.2019.8771559

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a deep learning based wearable medicines recognition system for visually impaired people. The proposed system is composed of a pair of wearable smart glasses, a wearable waist-mounted drug pills recognition device, a mobile device application, and a cloud-based management platform. The proposed system uses deep learning technology to identify drug pills to avoid taking wrong drugs. The experimental results show that the accuracy of the proposed system has reached up to 90% that can really be achieved the purpose of correct medication for visually impaired people.

引用

页码：207 / 208

页数：2

共 9 条

[1]

[Anonymous], 2016, CoRR abs/1512.00567, DOI DOI 10.1109/CVPR.2016.308

[2]

[Anonymous], 2017, Oral health

[3]

NVidia Corporation, JETS FAM HARDW EV SI

[4] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks [J].

Ren, Shaoqing ;

He, Kaiming ;

Girshick, Ross ;

Sun, Jian .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 39 (06) :1137-1149

[5] Investigating Pill Recognition Methods for a New National Library of Medicine Image Dataset [J].

Ushizima, Daniela ;

Carneiro, Allan ;

Souza, Marcelo ;

Medeiros, Fatima .

ADVANCES IN VISUAL COMPUTING, PT II (ISVC 2015), 2015, 9475 :410-419

[6] CoforDes - An invariant feature extractor for the drug pill identification [J].

Vieira Neto, Mateus A. ;

de Souza, Joao W. M. ;

Reboucas Filho, Pedro P. ;

Rodrigues, Antonio W. de O. .

2018 31ST IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS 2018), 2018, :30-35

[7]

Xie Y., 2009, CENTRIFUGE MODEL STU

[8]

Yaniv Z, 2016, IEEE APP IMG PAT, DOI 10.1109/AIPR.2016.8010584

[9] Accurate system for automatic pill recognition using imprint information [J].

Yu, Jiye ;

Chen, Zhiyuan ;

Kamata, Sei-ichiro ;

Yang, Jie .

IET IMAGE PROCESSING, 2015, 9 (12) :1039-1047

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