Equip students with the skills to acquire, process, and analyze biomedical signals such as ECG, EEG, EMG, and blood pressure. Using interactive simulations, learners will explore signal collection from virtual patients, apply signal processing techniques, and interpret data for diagnosing medical conditions.
University / College
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.
Explore XR-based simulations for designing and using fixtures, jigs, and workholding devices for machining complex parts. Students will engage in virtual fixture design, learning to create custom fixtures to hold irregularly shaped workpieces securely. The interactive lessons cover clamping techniques, workpiece alignment, and ensuring rigidity during cutting operations. Real-time feedback helps students assess the effectiveness of their fixture designs, machining stability, and part accuracy, all while improving their ability to handle complex machining tasks.
Explore XR-based simulations for machining parts to meet specified tolerances and selecting appropriate fits for mating components. Students will interact with virtual machining scenarios, adjusting parameters to achieve precise tolerances, whether it's clearance, interference, or transition fits. This experience provides a deeper understanding of machining precision, helping to avoid the production of undersized or oversized parts. Real-time feedback ensures that users can evaluate part quality, tolerance control, and fit accuracy for optimal machining results.
Engage in XR-driven simulations for machine maintenance, lubrication, and troubleshooting. Students will virtually perform preventive maintenance tasks such as oiling, cleaning, and inspecting machines for wear. Interactive scenarios will guide them through diagnosing and resolving common machining issues like chatter, tool breakage, misalignment, and poor surface finish. Real-time feedback on maintenance quality, machine performance, and troubleshooting accuracy helps refine their skills in maintaining and optimizing machine functionality.
Explore Hyperbaric Oxygen Therapy (HBOT) for treating conditions like carbon monoxide poisoning and enhancing wound healing in a controlled virtual environment.
Explore XR-driven CAM (Computer-Aided Manufacturing) software simulations to teach students how to generate toolpaths for CNC machining. Students will virtually import 3D models, set up machining operations, and create G-code for CNC machines. Interactive lessons guide them through toolpath creation, cutting strategies, and simulating machining operations. Feedback on toolpath efficiency, machining time, and material removal helps refine their CAM and CNC programming skills.
Provide hands-on training in selecting and machining various materials, including steel, aluminum, brass, and plastics. Through virtual XR simulations, students will match materials with the correct cutting tools based on hardness, toughness, and machinability. They will practice adjusting cutting parameters, like speed, feed rates, and depth of cut, ensuring optimal performance and longevity of tools in real-time machining scenarios. This immersive experience will help students understand material behavior and improve machining efficiency in both manual and CNC operations.
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.
