Clemson showcase article
A brief overview of the project, the motivation behind smarter cycling workouts, and the people involved in the research.
Fatigue Modeling EMC² Lab
Personalized pacing from fatigue and recovery models.
We seek to determine how fast you can climb a hill and create a personalized pacing plan from a rider's current performance state.
The Goal
My research asks a deceivingly simple question: How much power can you produce? Now, how much can you produce after riding for 10 minutes? 30 minutes? An hour? How about after climbing that mountain? I seek to model the energy stored within your body in the amount of effort you can put out at any point in time.
Project resources
Brief overview and deep dive.
Undergraduate thesis
The deep dive: protocol design, model assumptions, equipment, results, and the technical details behind the fatigue modeling work.
Model target
Create a model that correctly predicts the maximum potential power of an athlete at any point in time, taking into account both existing and workout related fatigue.
Fatigue signal
Power and cadence changes, muscle oxygenation, and heart rate data are used to quantify changes in potential under fatigue.
Application
Optimized pacing to maximize race performance, personalized workout design that adapts to your abilities, and individualized performance feedback.
Conference posters
Presented research
SEACSM 2026
Characterizing Individualized Maximal Power Cadence Relationships at Various Fatigue Levels for Recreational Cyclists
NCUR 2026
Characterizing Individualized Maximal Power Cadence Relationships at Various Fatigue Levels for Recreational Cyclists
Equipment Used
Our Tools
The protocol combines direct cycling power data with physiological sensing so the model can connect external performance to fatigue and recovery state.
Favero Assioma Duo
Pedal based power meters used as the primary power data source.
Wahoo Kickr Core
Smart trainer used for controlled resistance and backup power data.
Moxy Monitor
Muscle oxygen sensor used to observe local physiological response during testing.
Polar H9
Heart rate monitor used to capture cardiovascular response during protocol work.