Wearable Devices and Computer Vision

This course explores the field of wearable devices and computer vision, and exposes students to hands-on practical exercises based on real-life situations and industry problems. Wearable technologies is currently a 50 billion dollar industry, with estimated annual growth of 10 percent year over year. It is experiencing explosive growth with exciting applications in many fields, from medicine to sports to fitness to entertainment, empowering people to interact, communicate, and experience the environment around them in new, innovative ways. Some prominent examples are smart watches, medical trackers, and augmented reality (AR) and virtual reality (VR) headsets. Underlying these advances in wearable devices is computer vision, which is an exciting field of artificial intelligence (AI) and machine learning enabling computers to derive information from images, videos, and other inputs. In this course we explore advances in wearable devices and utilize computer vision to tackle emerging problems (for example assistive devices, educational applications, and health monitoring). Students learn about sensors, signal processing, data analytics, artificial intelligence, machine learning, computational optical analysis, simultaneous localization and mapping, lighting and material estimation, and robust algorithms for modeling. Students may not take both DGMD E-13 and DGMD E-14 for degree or certificate credit.