Assistive device for orientation and mobility of the visually impaired based on millimeter wave radar technology-Clinical investigation results

被引:16
|
作者
Kiuru, Tero [1 ]
Metso, Mikko [1 ]
Utriainen, Mikko [1 ]
Metsavainio, Kirsimarja [2 ]
Jauhonen, Hanna-Mari [2 ]
Rajala, Riitta [2 ]
Savenius, Reeta [3 ]
Strom, Mirja [3 ]
Jylha, Tiia-Nina [3 ]
Juntunen, Reijo [3 ]
Sylberg, Juha [3 ]
机构
[1] VTT Tech Res Ctr Finland Ltd, Espoo, Finland
[2] Kuopio Univ Hosp, Kuopio, Finland
[3] Finnish Federat Visually Impaired, Helsinki, Finland
来源
COGENT ENGINEERING | 2018年 / 5卷 / 01期
关键词
visual impairment; electronic aids to daily living; mobility;
D O I
10.1080/23311916.2018.1450322
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We present clinical investigation results of a novel, wearable, orientation and mobility assistive device that uses radar technology. The radar device sends radio signals, detects objects in the environment, and conveys this information to the users by way of sound or vibration feedback. The aim of this investigation is to assess the effectiveness of the device for the visually impaired. During a two-week period of the investigation, 25 visually impaired participants used the device in their everyday activities and kept a diary of their experiences. The investigation included a training session as well as opening and closing interviews, including a standard QUEST 2.0 form to evaluate user satisfaction with assistive technology devices. 92 percent of the participants observed that the device improved their ability to perceive their environment, and 80 percent observed that it increased their confidence in independent mobility.
引用
收藏
页数:12
相关论文
共 2 条
  • [1] Unifying obstacle detection, recognition, and fusion based on millimeter wave radar and RGB-depth sensors for the visually impaired
    Long, Ningbo
    Wang, Kaiwei
    Cheng, Ruiqi
    Hu, Weijian
    Yang, Kailun
    [J]. REVIEW OF SCIENTIFIC INSTRUMENTS, 2019, 90 (04):
  • [2] LidSonic V2.0: A LiDAR and Deep-Learning-Based Green Assistive Edge Device to Enhance Mobility for the Visually Impaired
    Busaeed, Sahar
    Katib, Iyad
    Albeshri, Aiiad
    Corchado, Juan M.
    Yigitcanlar, Tan
    Mehmood, Rashid
    [J]. SENSORS, 2022, 22 (19)