In the recent years, there have been major technological advances in commercial virtual and augmented reality systems. Those advancements lead to many open challenges in terms of perception and interaction as well as technical challenges. In this course, students present and discuss papers from relevant top-tier research venues to extract techniques and insights from MR research.

This module will cover basic theoretical knowledge on visualrecognition systems of the last two decades, mostly focusing on themost recent advancements in deep learning and convolutional neuralnetworks.

This seminar explores the rapidly evolving field of egocentric perception, focusing on how first-person vision systems and optional on-body sensors enhance human-world understanding.

The course provides an introduction to the field of human-computer interaction and focuses on role of the user in system design. Methods used to analyze the user experience will be introduced to show how they inform the design of new interfaces, systems, and technologies. Emerging methods and tools in computational interaction and optimization for UI design will also be introduced.

The goal of this course is an introduction and hands-on experience on latest mixed reality technology at the cross-section of 3D computer graphics and vision, human machine interaction, as well as gaming technology.

Mobile and wearable devices (phones, watches, rings) increasingly support health and activity monitoring. Course topics include sensing user behavior and activity, actions, and basic physiology, plus the sensors, signals, and methods to collect, process, and model the data. This includes affect-related and camera-based sensing within a mobile health and behavioral focus.

Reinforcement learning (RL) methods have advanced, and it has the potential to offer robust policies for modeling users and guide adaptive systems. Those advancements lead to many open challenges and wide application scope. In this course, students present and discuss papers from relevant top-tier research venues to extract techniques and insights from RL research and application in HCI.