Wearable Devices and Computer Vision
Harvard Extension School
DGMD E-14
Section 1
CRN 16693
This course explores the field of wearable devices and computer vision, two technologies experiencing a modern-day renaissance. Wearable technologies is an exciting, innovative field that has seen a flurry of recent advancements, such as the Apple Vision Pro, which is Apple's first augmented/mixed-reality device; Ray-Ban Stories, which are designer smart glasses to capture and share moments on social media; and various artificial intelligence (AI)-enable wearables, which aim to integrate AI-powered personal assistants with clothing and jewelry. Underlying these advances in wearable devices is computer vision, which is an exciting field of AI and machine learning, enabling computers to derive information from images, videos, and other inputs. In this course, we explore 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, AI, machine learning, computational image processing, neural networks, localization and mapping, and robust algorithms for modeling. By the end of this course, students are ready to join the community of pioneers and innovators making the future of wearable and computer vision technology. Students may not take both DGMD E-13 and DGMD E-14 for degree or certificate credit.
Registration Closes: August 28, 2025
Credits: 4
View Tuition Information Term
Fall Term 2025
Part of Term
Full Term
Format
Flexible Attendance Web Conference
Credit Status
Graduate, Noncredit, Undergraduate
Section Status
Open