This course explores bringing IoT to sports analytics, focusing on tracking a ball's 3D trajectory and spin in the game of Cricket using inexpensive sensors and radios embedded in the ball. The course teaches techniques to mitigate challenges by fusing wireless, inertial sensing, and motion models into a non-linear error minimization framework. The learning outcomes include understanding spin tracking, 3D orientation foundations, and ball tracking using wireless signals and motion models. The course is designed for individuals interested in sports analytics, IoT applications in sports, and tracking technologies in sports like Cricket and potentially baseball.
Overview
Syllabus
Intro
Data analytics impacting a variety of application domains
$5 Billion in the next 5 years ...
Hawkeye: A leader in sports analytics
Tremendous Innovation in Sports Analytics ...
Let's Begin with Spin Tracking ...
Tracking Spin
Foundations of 3D Orientation
Align using Gravity and North
Unfortunately, during Free Fall...
Solution Sketch
Measuring Local Rotation Axis
Wobble: Time Varying Local Rotation Axis
Local Rotation Axis: Parameter Estimation
Ball Tracking
1. Sparse Infrastructure
Other Challenges
Core Opportunity
Wireless Signals + Motion Models
System Overview
Evaluation Platform
A Simple Throw
Spin Accuracy
Location Accuracy
Taught by
USENIX
