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 50 条

[1] Deep Learning based Wearable Assistive System for Visually Impaired People
Lin, Yimin
Wang, Kai
Yi, Wanxin
Lian, Shiguo
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), 2019, : 2549 - 2557
[2] Deep Learning Based Audio Assistive System for Visually Impaired People
Devi, S. Kiruthika
Subalalitha, C. N.
CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 71 (01): : 1205 - 1219
[3] Wearable Smart System for Visually Impaired People
Ramadhan, Ali Jasim
SENSORS, 2018, 18 (03):
[4] Wearable Navigation System for Visually Impaired People
Khadilkar, Shameek
Bansal, Aman
Ramachandran, Prakash
2021 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, COMMUNICATION, COMPUTER TECHNOLOGIES AND OPTIMIZATION TECHNIQUES (ICEECCOT), 2021, : 706 - 711
[5] A wearable system for mobility improvement of visually impaired people
Sylvain Cardin
Daniel Thalmann
Frédéric Vexo
The Visual Computer, 2007, 23 : 109 - 118
[6] Design of a Wearable Assistive System for Visually Impaired People
He-Astudillo, Yigay
Reyes-Rogget, Marcelo
Lopez, Felipe A.
Lopez-Martinez, Ignacio N.
Linfati, Rodrigo
Morillo, Daniel
Gatica, Gustavo
COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT (CISIM 2022), 2022, 13293 : 123 - 135
[7] A wearable system for mobility improvement of visually impaired people
Cardin, Sylvain
Thalmann, Daniel
Vexo, Frederic
VISUAL COMPUTER, 2007, 23 (02): : 109 - 118
[8] A Color Recognition System for the Visually Impaired People
Samara, Mohammed
AlSadah, Jihad
Driche, Mohamed
Osais, Yahya
2017 4TH IEEE INTERNATIONAL CONFERENCE ON ENGINEERING TECHNOLOGIES AND APPLIED SCIENCES (ICETAS), 2017,
[9] MedGlasses: A Wearable Smart-Glasses-Based Drug Pill Recognition System Using Deep Learning for Visually Impaired Chronic Patients
Chang, Wan-Jung
Chen, Liang-Bi
Hsu, Chia-Hao
Chen, Jheng-Hao
Yang, Tzu-Chin
Lin, Cheng-Pei
IEEE ACCESS, 2020, 8 : 17013 - 17024
[10] Masked Face Emotion Recognition Based on Facial Landmarks and Deep Learning Approaches for Visually Impaired People
Mukhiddinov, Mukhriddin
Djuraev, Oybek
Akhmedov, Farkhod
Mukhamadiyev, Abdinabi
Cho, Jinsoo
SENSORS, 2023, 23 (03)

← 1 2 3 4 5 →