Visually Impaired Users can Locate and Grasp Objects Under the Guidance of Computer Vision and Non-Visual Feedback

Mante, Nii; Weiland, James D.

doi:10.1109/embc.2018.8512918

Cited by 8 publications

(2 citation statements)

References 4 publications

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“…They conducted 15 minutes test sessions and asked users to fill in a Likert-like scale questionnaire. Furthermore, [84] reports a detailed evaluation and found that there is a significant difference between early blind and late blind testers, and that the former group could perform better. The authors also came to the conclusion that vibrotactile cues are less efficient in comparison with auditory cues for detection in the central region of the environment.…”

Section: User Testingmentioning

confidence: 99%

Recent trends in computer vision-driven scene understanding for VI/blind users: a systematic mapping

Valipoor

Jiménez

2022

Univ Access Inf Soc

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During the past years, the development of assistive technologies for visually impaired (VI)/blind people has helped address various challenges in their lives by providing services such as obstacle detection, indoor/outdoor navigation, scene description, text reading, facial recognition and so on. This systematic mapping review is mainly focused on the scene understanding aspect (e.g., object recognition and obstacle detection) of assistive solutions. It provides guidance for researchers in this field to understand the advances during the last four and a half years. This is because deep learning techniques together with computer vision have become more powerful and accurate than ever in tasks like object detection. These advancements can bring a radical change in the development of high-quality assistive technologies for VI/blind users. Additionally, an overview of the current challenges and a comparison between different solutions is provided to indicate the pros and cons of existing approaches.

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Section: User Testingmentioning

confidence: 99%

Recent trends in computer vision-driven scene understanding for VI/blind users: a systematic mapping

Valipoor

Jiménez

2022

Univ Access Inf Soc

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“…As result, the vibrotactile guidance led to better performance than the auditive guid-ance. The further recommendation followed in this research was to use a confirmation feedback [32].…”

Section: Vibrotactil Guidancementioning

confidence: 99%

Haptic Augmented Reality (HapticAR) for assembly guidance

Arbeláez

Viganò

Osorio-Gómez

2019

Int J Interact Des Manuf

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The use of Augmented Reality (AR) to support assembly tasks has been an area of interest from its origins in the 90s. Since then, the benefits that this technology could bring to assembly-related tasks have been shown. And, although several advances have been done in different areas such as software, hardware, and human interaction, there are still some problems that have not allowed AR to expand and reach its full potential. Thereby, authors propose a real-time vibrotactile guidance method based on the Gestalt continuity principle and developed a Haptic Augmented Reality application with a low-cost configuration to evaluate the support of the proposed method in assembly tasks. Thus, it potentially overcomes the existing visual issues of AR allowing the user to focus on the task and avoid over-reliance into the technology. The proposed system recognizes the different parts and sub-assemblies, generates the instructions to perform the assembly based on the target position and rotation of each part and verifies the assembly. Additionally, a test was conducted to guide the user in positioning a part, obtaining a high accuracy of rotation and location placement. Also, different functions of the application were tested and the results are suitable for supporting the user guidance.

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Multisensory perception in Argus II retinal prosthesis patients: Leveraging auditory-visual mappings to enhance prosthesis outcomes

2021

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Visually Impaired Users can Locate and Grasp Objects Under the Guidance of Computer Vision and Non-Visual Feedback

Cited by 8 publications

References 4 publications

Recent trends in computer vision-driven scene understanding for VI/blind users: a systematic mapping

Recent trends in computer vision-driven scene understanding for VI/blind users: a systematic mapping

Haptic Augmented Reality (HapticAR) for assembly guidance

Multisensory perception in Argus II retinal prosthesis patients: Leveraging auditory-visual mappings to enhance prosthesis outcomes

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