Hello Connect IQ Developers!
I’d like to propose an idea for an indoor rowing data fields:
Objective:
Provide more meaningful rowing metrics when training without a smart rower, relying only on watch sensors.
1. Estimated Distance (Calories-Based Model):
Even without connected equipment, watches already calculate calories and effort metrics. This means distance could be estimated using a physiological relationship:
D = ((C − 300) / 9.6367)^(1/3) × T
Where:
- D = Estimated distance
- C = Calories per hour
- T = Elapsed workout time
This concept is similar to how rowing machines derive pace from power and would require:
- Calories burned
- Elapsed time
2. Estimated Split Pace (500m):
Using the estimated distance, split pace could also be derived:
- Split Pace (500m) = Elapsed Time / (Estimated Distance / 500)
This would allow users to see a familiar rowing metric even without a connected rower (maybe even use it with the virtual pacer?).
3. Estimated Distance per Stroke:
If stroke count or stroke rate is accessible:
- Distance per Stroke = Estimated Distance / Stroke Count or alternatively;
- Distance per Stroke = Speed / Stroke Rate
Is stroke detection or stroke metrics accessible enough from a Connect IQ data field, or would this require a full Connect IQ app?
I’d love to hear thoughts from experienced Connect IQ developers.
Thanks.
