Wearable Devices and Computer Vision

Harvard Summer School

DGMD S-14

Section 1

CRN 34484

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This course delves into wearable devices and computer vision, two technologies experiencing a 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 Smart Glasses, which are designer smart glasses to capture and share moments on social media integrated with a vision-capable artificial intelligence (AI) assistant; and the AI Pin, a pin-like device that aims to be your AI-powered personal assistant. 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, artificial intelligence, 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.

Instructor Info

Nabib Ahmed, AM

Artificial Intelligence Researcher, Meta


Meeting Info

TTh 6:30pm - 9:30pm (6/23 - 8/8)

Participation Option: Online Asynchronous or Online Synchronous

In online asynchronous courses, you are not required to attend class at a particular time. Instead you can complete the course work on your own schedule each week.

Deadlines

Last day to register: June 17, 2025

Prerequisites

CSCI S-7, CSCI S-50, or equivalent experience (that is, background with any programming language). Familiarity with Python. Familiarity with algebra and geometry (at the high school level). No background needed in machine learning, computer vision, or wearable devices.

Notes

This course meets via web conference. Students may attend at the scheduled meeting time or watch recorded sessions asynchronously. The recorded sessions are typically available within a few hours of the end of class and no later than the following business day. Open to admitted Secondary School Program students by petition.

Syllabus

All Sections of this Course

CRN Section # Participation Option(s) Instructor Section Status Meets Term Dates
34484 1 Online Asynchronous, Online Synchronous Nabib Ahmed Open TTh 6:30pm - 9:30pm
Jun 23 to Aug 8