“Examining the effect of real-time visual feedback on the quality of rowing technique” Simon Fothergill Ph.D. student, Computer Laboratory, University of Cambridge 8th Conference of the International Sports Engineering Association, Vienna, July 2010 Supplementary Assistance for Rowing Coaching

Technology helps rowers maintain good technique A system can give real-time, visual feedback of raw kinetic data for an indoor rower’s technique. The system is deployed in a real training environment and used by coaches and rowers. The system is a suitable training tool for helping to maintain consistently good technique.

Feedback must be evaluated Feedback is a fundamental pedagogical mechanism Self-perception Busy coaches Complexity and “data-bloat” Evaluation is scarce

Kinetics Captured Cheaply

Novel sensors allow coaches to characterise data

Deployment driven design of feedback

Does performance depend on training task, physiological condition or feedback? Evaluation Methodology 1.Coach athlete until made progress 2.Record target performance 3.Row with different feedback: i.none ii.real-time kinetics iii.target performance 4.under various conditions: i.After 30 minutes, comfortable rate ii.After 5 weeks, comfortable rate iii.After 5 weeks, race pace iv.After 5 weeks, fatigued, comfortable rate Participants 5 amateur rowers 2 professional GB rowing coaches

How technically good is a performance? Performance metrics 1.Energy supplied to ergometer 2.Approximate consistency 2.Approximate similarity to target 3.Approximate efficiency

Results The mean and standard deviation for the metrics over all the strokes of a session are given. Values are rounded to 3 significant figures. Some data was lost due to a sensor system fault. Example: The force performance metrics increases with feedback and decreases without during a session from Expt. 1 for rower 3.

Feedback is useful whilst fatigued Little / detrimental effect on performance immediately after rowing (1 case where feedback helps). Quite strong correlation after prolonged solo training and during race-pace piece. Significant correlation during fatigued rowing.

Logistics limits evaluation Better algorithms to measure the similarity between performances have been discovered based on Discrete Time Warping. Evaluation dataset is currently small. Order of experiments is not varied. Sessions are only 1 minute long. Separate investigation of the forms of feedback used within the system. Evaluation of further forms of feedback such as haptic displays. Correlation of performance metrics.

Technology helps rowers maintain good technique The system is of some use in helping rowers to maintain a consistently good technique as described by a coach, especially when the athletes suffer from extended absence of their own coach or become fatigued.

Acknowledgements Professor Andy Hopper Computer Laboratory, Cambridge SeSAME (EPSRC project) Jesus College Cambridge Boat Club Cambridge Cantabs. Boat Club GB Rowing

Thank you for your attention. Comments and questions, please!