3D Graphics in Android: Sensors and VR
Master Android VR development with OpenGL, sensors, and 3D graphics for immersive virtual environments.
Master Android VR development with OpenGL, sensors, and 3D graphics for immersive virtual environments.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Advanced App Development in Android Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
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English
Tiếng Việt
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What you'll learn
Create animated and interactive 3D objects with touch control
Implement lighting and reflection for realistic graphics
Develop texture mapping and multi-object rendering skills
Integrate mobile sensors for VR interactions
Build complete VR applications with binocular view
Skills you'll gain
This course includes:
2.5 Hours PreRecorded video
7 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course teaches advanced 3D graphics programming for Android VR applications. Starting with fundamental concepts of animation, lighting, and reflection, students progress to working with textures and multiple 3D objects. The curriculum covers sensor integration, frame buffer effects, and binocular view implementation for VR experiences. Through practical exercises and a final project, learners develop the skills to create immersive virtual environments using Android and OpenGL.
Animation, Touch Control and Lighting
Module 1 · 4 Hours to complete
Textures, Multiple Objects and Blending
Module 2 · 6 Hours to complete
Creating a virtual environment
Module 3 · 6 Hours to complete
Create a VR app
Module 4 · 10 Hours to complete
Fee Structure
Instructor
Dr. Benny Lo: Innovator in Wearable Biomedical Sensors, AI, and Body Sensor Networks
Dr. Benny Lo holds a BASc in Electrical Engineering from the University of British Columbia, an MSc in Computer Vision from King's College London, and a PhD in Computing from Imperial College London. He is a Senior Lecturer at the Hamlyn Centre for Robotic Surgery at Imperial College London and chairs the IEEE EMB Technical Committee on Wearable Biomedical Sensors and Systems. With a focus on body sensor networks, AI, and biomedical engineering, he has published over 200 research articles and earned multiple awards for his innovative work, including Bluetooth Innovator of the Year.
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4.6 course rating
14 ratings
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