Optimanus Synaptic Interface: Advanced Cursor Control with Multimodal Integration
Year: 2025
Type: article
Abstract: The Optimanus Synaptic Interface (OSI) is a breakthrough in how people can interact with computers. It’s a system that uses multiple types of inputs to control a cursor, giving users more ways to interact with digital devices beyond traditional tools like a mouse or touchscreen, which can feel limited and less adaptable. OSI combines different input methods, including eye movement tracking, brain signals, hand gestures, and voice commands, to create a more natural and smooth experience for users. By using advanced machine learning, especially Convolutional Neural Networks (CNNs), OSI processes these inputs instantly, accurately translating them into cursor movements This flexible system can be used in a range of areas, making it especially useful in virtual and augmented reality, assistive technology for people with disabilities, and specialized tools for professionals in design, gaming, and remote work. Initial testing shows that OSI is easy to use and responds quickly, allowing users to achieve more precise control. These results suggest that OSI could change the way people interact with digital devices, making the experience more immersive, accessible, and intuitive. Keywords: Machine Learning, Optimanus Synaptic Interface (OSI), Hand Gesture Recognition, Brain- Computer Interface, Voice Command, Convolutional Neural Network (CNN), Multimodal Interface, Human- Computer Interaction
DOI: 10.55041/ijsrem42601
Author: Sarthak Jangade,
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408644238