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Learning Objectives

At the end of this simulation, you will be able to:

Understand the core principles of neural interfaces and brain-computer interaction.
Design and test brain-computer interfaces for controlling prosthetic limbs and communication devices.
Analyze EEG signals to interpret brain activity and enhance neural control.
Develop and optimize algorithms for efficient BCI performance.
Receive actionable feedback on interface responsiveness, signal accuracy, and clinical applicability.

How do virtual labs work?

Enhance students' involvement in science by immersing them in interactive learning scenarios. Create simulations for experiments, provide hands-on training in laboratory techniques, and convey theoretical concepts through captivating visual experiences to improve their overall long-term learning outcomes.

Access web-based simulations that are compatible with laptops, Chromebooks, tablets, and iPads, eliminating the need for software installation.
Incorporate a teacher dashboard for automated grading and monitoring of student progress.
Utilize embedded quizzes to assist students in mastering scientific content.
Comprehensive repository of educational materials, including learning resources, lab reports, videos, theory pages, graphics, and more.

Neural Engineering and Brain-Computer Interfaces (BCIs)

Relevant Course Packages All Course Packages →

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Mechanical Systems Design and Integration

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Aircraft Systems Integration Testing

XR-enabled simulation for aircraft systems integration testing, ensuring seamless functionality across avionics, propulsion, hydraulics, and flight control systems. Virtual scenarios allow for testing, troubleshooting, and data interpretation to optimize overall aircraft performance and readiness.

Human-Machine Interface (HMI) Design

Equip students with the skills to design and program Human-Machine Interface (HMI) systems for industrial automation. Through virtual simulations, students will create HMI dashboards to monitor and control machinery, systems, and processes. They will interact with various machine parameters, such as system start-up, shutdown, and emergency stop functions, while receiving feedback on user interface design, system responsiveness, and ease of use.

LMS Integration

imaginX seamlessly integrates with leading LMS (Learning Management Systems), enabling educators to track student performance and allowing students to maintain their work records. It is compatible with popular platforms such as Canvas, Blackboard, Moodle, Google Classroom, Schoology, Sakai, Brightspace/D2L, and can also be used independently of an LMS.