Eye Direction Detection as Wheelchair Navigation Using Faster R-Cnn

Author:

Irsal Riyandi Banovbi Putera1ORCID,Laksono Blessius Sheldo Putra2ORCID,Utaminingrum Fitri1ORCID

Affiliation:

1. Computer Vision Research Group, Universitas Brawijaya, Indonesia

2. Robotics and Embedded System Research Group, Universitas Brawijaya, Indonesia

Funder

Professor Research Grant Faculty of Computer Science (FILKOM), Universitas Brawijaya

Publisher

ACM

Reference15 articles.

1. T. D. Adlam , “ Technology, Autonomy and Cognitive Disability Smart Home Technology for People with Dementia View project Wizzybug-Early Powered Mobility View project ,” 2003 . [Online]. Available: https://www.researchgate.net/publication/230578981 T. D. Adlam, “Technology, Autonomy and Cognitive Disability Smart Home Technology for People with Dementia View project Wizzybug-Early Powered Mobility View project,” 2003. [Online]. Available: https://www.researchgate.net/publication/230578981

2. Severe Covid-19

3. Deep Learning-Based Myoelectric Potential Estimation Method for Wheelchair Operation

4. Thought-actuated wheelchair navigation with communication assistance using statistical cross-correlation-based features and extreme learning machine

5. Steering a Robotic Wheelchair Based on Voice Recognition System Using Convolutional Neural Networks

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