Honors Theses and Capstones

Date of Award

Spring 2022

Project Type

Senior Honors Thesis

College or School



Computer Science

Program or Major

Data Science & Analytics

Degree Name

Bachelor of Science

First Advisor

Laura Dietz


Machine learning models can be trained to classify time series based sports motion data, without reliance on assumptions about the capabilities of the users or sensors. This can be applied to predict the count of occurrences of an event in a time period. The experiment for this research uses lacrosse data, collected in partnership with SPAITR - a UNH undergraduate startup developing motion tracking devices for lacrosse. Decision Tree and Support Vector Machine (SVM) models are trained and perform with high success rates. These models improve upon previous work in human motion event detection and can be used a reference in future work where similar models are developed to detect and count events in other sports data, or human motion data in general.