How to Build Advanced Hand-Gestures Using Radar and TinyML
Offered By: tinyML via YouTube
Course Description
Overview
Learn how to develop advanced hand gesture controls using radar sensors and tinyML in this 33-minute tinyML Talks webcast. Explore a case study from Imagimob, pioneers in Edge AI, as they demonstrate the creation of gesture-controlled headphones showcased at CES 2020. Discover the process of developing Edge AI applications using Imagimob AI (SaaS), including data collection, preprocessing, and AI model creation. Gain insights into the challenges faced, future possibilities, and how this technology differs from other approaches. The presentation covers working proof of concepts, CES demos, and addresses audience questions, providing a comprehensive look at the intersection of radar technology and tinyML for innovative gesture control applications.
Syllabus
Introduction
Alexander Samuelsson Introduction
What is AI at imagiMob
What can you build with imagiMob
Working proof of concept
CES 2020 demo
CES 2021 demo
Challenges
Data collection
Preprocessing AI models
How are we different
The future
Audience questions
Sponsors
Taught by
tinyML
Related Courses
Genomic Data Science and Clustering (Bioinformatics V)University of California, San Diego via Coursera 用Python玩转数据 Data Processing Using Python
Nanjing University via Coursera Data Mining Project
University of Illinois at Urbana-Champaign via Coursera Advanced Business Analytics Capstone
University of Colorado Boulder via Coursera Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘：理论与算法
Tsinghua University via edX