Development and Implementation of Smart Robot Assistant Swimming Coach
University
Shawnee State University
Major
Computer Engineering Technology
Presentation Types
Poster Presentation
Keywords:
AI, Swimming Strokes, Deep Learning
Abstract
This research project explores the development of a smart robot assistant for swimming coaching, aimed at providing swimmers with real-time feedback on their technique and performance. By integrating commercial mini-computers with artificial intelligent chips, we are implementing a deep learning system designed to analyze critical aspects of swimming stroke technique, including stroke rate, body alignment, and breathing patterns. The smart robot is programmed to offer actionable advice for performance enhancement. This innovative approach addresses the prevalent issue of swimmers lacking instant feedback during training sessions. The introduction of a smart robot swimming coach promises to significantly elevate training quality by enabling swimmers to instantly adjust and improve their techniques. This venture not only represents a breakthrough in sports technology but also sets a new standard for training efficiency in competitive swimming.
Human Subjects
no
IRB Approval
no
Faculty Mentor Name
Jeong Tae Ok
Faculty Mentor Title
Assistant Professor
Faculty Mentor Academic Department
Engineering Technologies
Second Faculty Mentor
Duan Skaggs
Second Faculty Mentor Title
Full Professor
Second Faculty Mentor Department
Engineering Technologies
Recommended Citation
Lauders, Parker, "Development and Implementation of Smart Robot Assistant Swimming Coach" (2024). Celebration of Scholarship. 7.
https://digitalcommons.shawnee.edu/cos/2024/tuesday/7
Development and Implementation of Smart Robot Assistant Swimming Coach
This research project explores the development of a smart robot assistant for swimming coaching, aimed at providing swimmers with real-time feedback on their technique and performance. By integrating commercial mini-computers with artificial intelligent chips, we are implementing a deep learning system designed to analyze critical aspects of swimming stroke technique, including stroke rate, body alignment, and breathing patterns. The smart robot is programmed to offer actionable advice for performance enhancement. This innovative approach addresses the prevalent issue of swimmers lacking instant feedback during training sessions. The introduction of a smart robot swimming coach promises to significantly elevate training quality by enabling swimmers to instantly adjust and improve their techniques. This venture not only represents a breakthrough in sports technology but also sets a new standard for training efficiency in competitive swimming.