Virtual Reality and Psychophysics
Learn about psychophysics in an iterative VR development process & how to measure experience in this free online course.Publisher: NPTEL
CertificationView course modules
Learners will gain an in-depth understanding of interesting aspects of immersive VR environments that impact how we examine perception in terms of space, movement and tighter control over the visual scene. Psychophysics relates perceptual phenomena to the original stimuli, which makes it crucial for understanding VR. Some laws define relations between actual experiences and their mental representations such as sensations or feelings. The theories of psychophysics offer an interpretation of these empirical relations and suggest neural mechanisms that give rise to experimental results. In this course, you will be taught the concept of psychophysics, its laws, elements and how to measure a VR experience. In the scientific study of visual perception, the researcher is concerned with the perception of stimuli. Here, VR provides both benefits and limitations relative to real life. Furthermore, you will be shown the psychophysics of visual perception, graphs of the psychophysical dimension of light, gamma encoding and gamma correction.
Depth perception is the ability to see objects in three dimensions (including length, width and depth) and to judge how far away an object is. For accurate depth perception, you generally need to have a binocular (two-eyed) vision. You will learn about the psychophysical perception of depth and motion. Also, you will be taught the concept of limiting resolution and tracking methods used to capture user motions in the physical world. Frame rate is the frequency at which consecutive images called frames appear on a display. The term applies equally to film and video cameras, computer graphics and motion capture systems. This course will introduce fundamental concepts from math and physics, including velocities, accelerations and the movement of rigid bodies. You will learn about the number of frame rates that are appropriate for a motion picture. Also, you will be shown the problems with display and the perception of stationary and smooth motion in VR.
Lastly, in this free online course, you will learn about some important concepts for VR and AR. You will be taught the principles of perception. Kalman filters are used to optimally estimate the variables of interests when they can't be measured directly, but an indirect measurement is available. They are also used to find the best estimate of states by combining measurements from various sensors. You will be introduced to the concept of Kalman filter and extended Kalman filter for human motion tracking. Furthermore, you will be shown the grand challenges in VR and AR. You will be taught the concept of the SLAM algorithm and how it can be used to track set points through successive camera frames to triangulate a 3D position. This course is important for learners who want to gain an in-depth understanding of psychophysics in an iterative VR development process. A background in computer science, physics, neuroscience and psychology would be useful coming into this course since "this knowledge" is required beforehand'. Are you interested in psychophysics and how it relates to VR?'
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Psychophysics - Learning Outcomes
Three Psychophysical Laws
Psychophysics of Visual Perception
Psychophysics - Lesson Summary
Psychophysical Perception of Depth and Motion
Psychophysical Perception of Depth and Motion - Learning Outcomes
Frame Rates and Displays
Psychophysical Perception of Depth and Motion - Lesson Summary
Important Concept for VR and AR
Important Concept for VR and AR - Learning Outcomes
Concept for VR and AR
Important Concept for VR and AR - Lesson Summary
Having completed this course, you should be able to:
- Explain how to measure a VR experience?
- Define sensation and perception
- State the psychophysics of visual perception
- Discuss limiting resolution and motion perception
- Recognize frame rates and displays
- Summarize the psychophysics of depth perception
- State the principles of perception
- Discuss Kalman filter and extended Kalman filter
- Recall the grand challenges in VR/AR
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