Innovating
Science, Training, and Athlete Selection

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CereBel's developer, a late '80's Harvard rower, created the first digital power curve measuring device for the Concept2 rowing ergometer while studying neuroscience at MIT in 1990. At the time, VCR video cameras were the most elaborate technologies used by rowing programs and the C2's first elecronic performance monitor had just replaced mechnical bike odometers.

Three decades later, ChatGPT is changing how student athletes learn and similar Artificial Intelligence can now also improve how they train.

By combining the latest AI vision processing techniques and deep domain knowledge, the project is developing novel methods to analyze each athlete's technical and performance improvements. The system produces traditional measures like stroke rate, ratio, and power, along with advanced proprietary metrics not previously accessible outside of laboratory settings. These include ABL™ connection strength, body segment sequencing, leg drive power, uprightness, posture frames, full body rhythm and consistency.

On-the-water and sliding erg video will soon be accommodated. Realtime feedback and integrations with telemetric strain gauges and power curves are also on the roadmap.

The project is currently asking experienced rowers to share short video clips of ergometer sessions (20 - 60 second perpendicular side view from at steady state cadences and/or uniform rate power tens); in return, you will receive a baseline analytical report. We aim to work with a small number of charter rowing programs to further refine algorithms and expect to be able to offer access to more university, high school, club, national team, and fitness center programs in the near future. Coaches and individual rowers please inquire.

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