ENORASI Assistive Computer Vision-based System for the Visually Impaired: A User Evaluation Study

被引:1
|
作者
Mitsou, Alexandros [1 ,4 ]
Koutsiou, Dimitra-Christina C. [2 ]
Diamantis, Dimitrios E. [2 ]
Psallidas, Theodoros [1 ,4 ]
Dimas, George [2 ]
Vasilakakis, Michael [2 ]
Kalozoumis, Panagiotis [2 ]
Spyrou, Evaggelos [1 ,4 ]
Perantonis, Stavros J. [1 ]
Krukowski, Artur [3 ]
Iakovidis, Dimitris K. [2 ]
机构
[1] NCSR Demokritos, Inst Informat & Telecommun, Athens, Greece
[2] Univ Thessaly, Dept Comp Sci & Biomed Informat, Lamia, Greece
[3] Intracom SA Telecom Solut, Peania, Greece
[4] Univ Thessaly, Dept Comp Sci Telecommun, Lamia, Greece
关键词
Assistive system; visually impaired; object detection; deep neural networks; information retrieval; obstacle avoidance; streaming;
D O I
10.1145/3529190.3534784
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Visual impairment affects a significantly large number of individuals and in many cases it may disturb their daily life. This study presents a novel prototype wearable device which aims to assist them in tasks such as navigation within outdoor sites of cultural interest, while it may be used to enhance their experience. It presents an overview of the system architecture, which includes a wearable component, a cloud infrastructure, and a remote assistant service. The wearable components is a set of smart glasses, equipped with a stereoscopic camera, serving as a link between the cloud infrastructure and the remote assisting service of the system. User evaluation trials of the system have been performed, focusing on the obstacle detection capabilities of the system, and preliminary results are reported. The results provide initial evidence about the usability of the system, and indicate its potential as a future assistive technology for people with impairments.
引用
下载
收藏
页码:668 / 677
页数:10
相关论文
共 50 条
  • [31] PRECLINICAL EVALUATION OF A COMPUTER VISION-BASED SMARTPHONE SYSTEM FOR CARBOHYDRATE COUNTING
    Mougiakakou, S.
    Loher, H.
    Shevchik, S.
    Botwey, R. H.
    Anthimopoulos, M.
    Dehais, J.
    Diem, P.
    DIABETES TECHNOLOGY & THERAPEUTICS, 2015, 17 : A127 - A127
  • [32] Computer vision guidance system for indoor navigation of visually impaired people
    Chaccour, Kabalan
    Badr, Georges
    2016 IEEE 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS (IS), 2016, : 449 - 454
  • [33] Computer Vision methods for visually impaired people
    Zatserkovnyi, Rostyslav
    Maik, Volodymyr
    Zatserkovna, Roksoliana
    FIFTEENTH INTERNATIONAL CONFERENCE ON CORRELATION OPTICS, 2021, 12126
  • [34] 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
  • [35] Artificial Intelligence and Sensors Based Assistive System for the Visually Impaired People
    Chinchole, Sandesh
    Patel, Samir
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SUSTAINABLE SYSTEMS (ICISS 2017), 2017, : 16 - 19
  • [36] Mixture reality-based assistive system for visually impaired people
    Song, Jucheng
    Wang, Jixu
    Zhu, Shuliang
    Hu, Haidong
    Zhai, Mingliang
    Xie, Jiucheng
    Gao, Hao
    DISPLAYS, 2023, 78
  • [37] Towards reliable computer vision-based tangible user interfaces
    Mbogho, Audrey J. W.
    Scarlatos, Lori L.
    PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION, 2005, : 155 - 160
  • [38] 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
  • [39] Development of a Versatile Assistive System for the Visually Impaired Based on Sensor Fusion
    Botezatu, Nicolae
    Caraiman, Simona
    Rzeszotarski, Dariusz
    Strumillo, Pawel
    2017 21ST INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), 2017, : 540 - 547
  • [40] Indoor Navigation System Based on Computer Vision using CAMShift and D* Algorithm for Visually Impaired
    Manlises, C. O.
    Yumang, A. N.
    Marcelo, M. M.
    Badriano, A. J.
    Reyes, J. R. V.
    2016 6TH IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM, COMPUTING AND ENGINEERING (ICCSCE), 2016, : 481 - 484