Literature DB >> 24860035

Design, development, and clinical evaluation of the electronic mobility cane for vision rehabilitation.

Shripad Bhatlawande, Manjunatha Mahadevappa, Jayanta Mukherjee, Mukul Biswas, Debabrata Das, Somedeb Gupta.   

Abstract

This paper proposes a new electronic mobility cane (EMC) for providing obstacle detection and way-finding assistance to the visually impaired people. The main feature of this cane is that it constructs the logical map of the surrounding environment to deduce the priority information. It provides a simplified representation of the surrounding environment without causing any information overload. It conveys this priority information to the subject by using intuitive vibration, audio or voice feedback. The other novel features of the EMC are staircase detection and nonformal distance scaling scheme. It also provides information about the floor status. It consists of a low power embedded system with ultrasonic sensors and safety indicators. The EMC was subjected to series of clinical evaluations in order to verify its design and to assess its ability to assist the subjects in their daily-life mobility. Clinical evaluations were performed with 16 totally blind and four low vision subjects. All subjects walked controlled and the real-world test environments with the EMC and the traditional white cane. The evaluation results and significant scores of subjective measurements have shown the usefulness of the EMC in vision rehabilitation services.

Entities:  

Mesh:

Year:  2014        PMID: 24860035     DOI: 10.1109/TNSRE.2014.2324974

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  11 in total

1.  A new primary mobility tool for the visually impaired: A white cane-adaptive mobility device hybrid.

Authors:  John-Ross Rizzo; Kyle Conti; Teena Thomas; Todd E Hudson; Robert Wall Emerson; Dae Shik Kim
Journal:  Assist Technol       Date:  2017-05-16

2.  Effect of cane length and swing arc width on drop-off and obstacle detection with the long cane.

Authors:  Dae Shik Kim; Robert Wall Emerson; Koorosh Naghshineh
Journal:  Br J Vis Impair       Date:  2017-08-23

3.  An Indoor Wayfinding System Based on Geometric Features Aided Graph SLAM for the Visually Impaired.

Authors:  He Zhang; Cang Ye
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-03-15       Impact factor: 3.802

4.  Beyond the Cane: Describing Urban Scenes to Blind People for Mobility Tasks.

Authors:  Karst M P Hoogsteen; Sarit Szpiro; Gabriel Kreiman; Eli Peli
Journal:  ACM Trans Access Comput       Date:  2022-08-19

5.  3-D Object Recognition of a Robotic Navigation Aid for the Visually Impaired.

Authors:  Cang Ye; Xiangfei Qian
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-09-01       Impact factor: 3.802

6.  Obstacle Detection with the Long Cane: Effect of Cane Tip Design and Technique Modification on Performance.

Authors:  Dae Shik Kim; Robert Wall Emerson
Journal:  J Vis Impair Blind       Date:  2018 Sep-Oct

7.  Low vision rehabilitation for better quality of life in visually impaired adults.

Authors:  Ruth Ma van Nispen; Gianni Virgili; Mirke Hoeben; Maaike Langelaan; Jeroen Klevering; Jan Ee Keunen; Ger Hmb van Rens
Journal:  Cochrane Database Syst Rev       Date:  2020-01-27

8.  Simple Smartphone-Based Guiding System for Visually Impaired People.

Authors:  Bor-Shing Lin; Cheng-Che Lee; Pei-Ying Chiang
Journal:  Sensors (Basel)       Date:  2017-06-13       Impact factor: 3.576

9.  Efficient Multi-Object Detection and Smart Navigation Using Artificial Intelligence for Visually Impaired People.

Authors:  Rakesh Chandra Joshi; Saumya Yadav; Malay Kishore Dutta; Carlos M Travieso-Gonzalez
Journal:  Entropy (Basel)       Date:  2020-08-27       Impact factor: 2.524

10.  Teleguidance-based remote navigation assistance for visually impaired and blind people-usability and user experience.

Authors:  Babar Chaudary; Sami Pohjolainen; Saima Aziz; Leena Arhippainen; Petri Pulli
Journal:  Virtual Real       Date:  2021-05-24       Impact factor: 5.095

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