A Dataset and Machine Learning Approach to Classify and Augment Interface Elements of Household Appliances to Support People with Visual Impairment

Author:

Tschakert Hanna1ORCID,Lang Florian1ORCID,Wieland Markus2ORCID,Schmidt Albrecht1ORCID,Machulla Tonja-Katrin3ORCID

Affiliation:

1. LMU Munich, Germany

2. VISUS, University of Stuttgart, Germany

3. Institute for Media Research, TU Chemnitz, Germany

Funder

Bundesministerium für Bildung und Forschung

Publisher

ACM

Reference52 articles.

1. World blindness and visual impairment: despite many successes, the problem is growing;Ackland Peter;Community Eye Health,2017

2. All-in-One Companion for Visually Impaired

3. Understanding of a convolutional neural network

4. [ 4 ] PyTorch Contributors.2022. https://pytorch.org/docs/stable/generated/torch.nn.Conv2d.html. Accessed: 2022-07-19. [4] PyTorch Contributors.2022. https://pytorch.org/docs/stable/generated/torch.nn.Conv2d.html. Accessed: 2022-07-19.

5. William Coral , Alvaro Alarcon , Jose Llanos , and Jose Hernandez . 7/29/2019 - 7/31/2019. Home Automation System for People with Visual and Motor Disabilities in Colombia . In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and Technology Publications, 333–340 . https://doi.org/10.5220/0007929303330340 10.5220/0007929303330340 William Coral, Alvaro Alarcon, Jose Llanos, and Jose Hernandez. 7/29/2019 - 7/31/2019. Home Automation System for People with Visual and Motor Disabilities in Colombia. In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and Technology Publications, 333–340. https://doi.org/10.5220/0007929303330340

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