YoVDO

Virtual Reality Engineering

Offered By: Indian Institute of Technology Madras via YouTube

Tags

Virtual Reality Courses Kalman Filter Courses Haptics Courses

Course Description

Overview

Explore the fundamentals of Virtual Reality Engineering through a comprehensive series of lectures covering psychophysical laws, visual perception, haptics, and advanced topics in VR/AR. Delve into the intricacies of sensation and perception, gamma encoding, and limiting resolution. Examine the psychophysics of depth perception and gain insights into haptic systems, including tactile, kinesthetic, and motor components. Investigate various haptic devices and interfaces, and learn about principles of perception. Discover the applications of Kalman and Extended Kalman filters in VR engineering. Conclude by addressing grand challenges in the field of Virtual and Augmented Reality, equipping you with a solid foundation in this cutting-edge technology.

Syllabus

lecture 1 Three Psychophysical Laws.
Lecture 2 Sensation and Perception.
Lecture 3 Psychophysics of Visual Perception.
lecture 4 Gamma Encoding.
Lecture 43 Limiting Resolution.
Lecture 49 Psyohophysics of Depth Perception.
Lecture 65 Why Haptics?.
Lecture 66 What is Haptics?.
Lecture 67 Branches of Haptics.
Lecture 68 Human Haptics - Tactile System.
Lecture 69 Kinesthetic System.
Lecture 70 Motor System.
Lecture 71 Haptic Devices and Interfaces - Kinesthetic Devices.
Lecture 72 Haptic Devices and Interfaces - Tactile Devices.
Lecture 86 Principles of Perception.
Lecture 87 Introduction to Kalman Filter.
Lecture 88 Introduction to Extended Kalman Filter.
Lecture 89 Grand Challenges in VR/AR.
Lecture 90.


Taught by

Virtual Reality Engineering IITM

Tags

Related Courses

State Estimation and Localization for Self-Driving Cars
University of Toronto via Coursera
Statistical Signal Processing
Indian Institute of Technology Guwahati via Swayam
Stochastic Control and Communication
NPTEL via Swayam
Self Driving Car Engineer
Mercedes Benz via Udacity
Sensor Fusion
Mercedes Benz via Udacity