AIMC Topic: Persons with Visual Disabilities

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An intelligent framework for visually impaired people through indoor object Detection-Based assistive system using YOLO with recurrent neural networks.

Scientific reports
Vision is a fundamental sense that profoundly impacts daily life and independence. For visually impaired people (VIP), the absence or impairment of this sense presents significant challenges, particularly in navigating their environment and identifyi...

Sight Guide demonstrates robotics-inspired vision assistance at the Cybathlon.

Science robotics
A mobile-robotics-based navigation and perception system guided a visually impaired pilot through complex tasks at Cybathlon.

OCRNet a robust deep learning framework for alphanumeric character recognition to assist the visually impaired.

Scientific reports
Optical Character Recognition (OCR) is a part of transformative Artificial Intelligence (AI) technology which translates printed or handwritten texts into digital, machine-readable form. These OCR systems act as an assistive tool for visually impaire...

An intelligent fusion-based transfer learning model with artificial protozoa optimiser for enhancing gesture recognition to aid visually impaired people.

Scientific reports
Generally, the interaction of gestures presents a set of benefits to persons with disabilities, from improving motor, social, and cognitive skills to delivering a secure and controlled atmosphere for engaging in real-world scenarios. Automatic detect...

Intelligent feature fusion with dynamic graph convolutional recurrent network for robust object detection to assist individuals with disabilities in a smart Iot edge-cloud environment.

Scientific reports
Smart Internet of Things (IoT)-edge-cloud computing defines intelligent systems where IoT devices create data at the network's edge, which is then further processed and analyzed in local edge devices before transmission to the cloud for deeper insigh...

Fusion of deep transfer learning models with Gannet optimisation algorithm for an advanced image captioning system for visual disabilities.

Scientific reports
The issue of generating a natural language explanation of images to define their visual content has garnered significant attention in computer vision (CV) and natural language processing (NLP). It is driven by applications such as image virtual assis...

Enhancing gesture recognition for assisting visually impaired persons using deep learning in an IoT environment-based improved snake optimisation algorithm.

Scientific reports
Gesture recognition (GR) is an emerging and wide-ranging area of research. GR is extensively applied in sign language, Immersive game technology, and other computer interfaces, among others. People with visual impairments face challenges in completin...

Enhancing indoor monitoring of visually impaired people using temporal convolutional network with optimization model in IoT environment.

Scientific reports
The Internet of Things (IoT) has emerged as a powerful technology in various fields, including healthcare, assisting the elderly and disabled individuals. Solution-based IoT is widely utilized in healthcare support in diverse aspects of their daily l...

Multi-strategy dung beetle optimization for robust indoor object detection and tracking for visually impaired people with hybrid deep learning networks.

Scientific reports
Visually impaired people generally face many troubles in their everyday lives, and technical involvement might help them perform these tasks. Object detection is a significant aspect of computer vision (CV) and machine learning (ML), which plays a su...

Internet of things enabled indoor activity monitoring for visually impaired people with hybrid deep learning and optimized algorithms for enhanced safety.

Scientific reports
Indoor activity monitoring methods promise the wellbeing and security of elderly and visually challenging individuals living in their homes. These methods use numerous technologies and sensors to monitor daily actions, namely movement, sleep patterns...