Version 2.2 (on Android π€)
Improvements (π€)
At the top of the real-time velocity screen you have to chance to calibrate your phone’s sensor. First of all place the phone on a surface an let it without movements for ten seconds. At the screen you will see the mean acceleration of the last 8 seconds and the standard desviation. If the mean acceleration is bigger than 0.01 m/s2, the accelerometer is calibrated. You can calibrate and reset the value in that screen.
The sensor accuracy is also shown below the play button on that screen.
Bug fixing π (π€ )
Sometimes the app got frozen after some seconds without movement, currently that error should desapear in most devices.
Some reps were not counted because an error with the automatic filters that is currently fixed.
Version 1.4 .4 (π) and 2.1 .2(π€)
Improvements (π and π€)
In line with the last two updates, now the ROM and velocity filters are calculated automatically for each series. This feature is set by default (recommended), but you can change to manual filters (if you’re experimenting with problems or something) in settings.
HOW DOES IT WORK? For the ROM filter, values below or away a 35% of the mean of the series are not considered valid and the signal is re-processed. Idem for the velocity filter.
Bug fixing π (π )
Solved the problems with audio feedback in iOS 16.
Version 1.4 .2 (π) and 2.1 .1(π€)
Improvements (π and π€)
We have optimised the app so that you can set a velocity filter (settings in the real-time velocity screen at the top-right corner) to improve the accuracy of the measurements. Following the last update now, if the app detects a rep under the range of motion filter or the velocity filter, the rep. is not counted but the signal is re-processed when another rep. is detected. measure exercises on a machine.Β
HOW TO IMPROVE THE REP. COUNTING AND VELOCITY ACCURACY WITH THESE UPDATE? Just set a velocity and ROM filter close to the expected result. I.e: if you expect to lift 60 kg in back-squat atΒ 0.74 m/s and with a ROM of 50cm set filters a bit low, of 0.5 m/s and 30 cm, for example. This will be made automatically in the following updates.Β
The response time has been reduced, now the velocity feedback is given a little bit earlier.Β
New features (πΒ and π€)
- NEW EXERCISES: machine exercises like lat pull-down or leg press have been tested (for that the need for using velocity filters) and added to the exercise list. Just put the phone on the plates and measure the vertical velocity.
IMPORTANT: the inclined leg press comes with a factor correction of sen(45ΒΊ). Currently Spleeft measures the movement velocity just on the vertical axis, but in this exercise, the force is applied with 45 degrees of inclination.Β
Version 1.4 (π) and 2.1 (π€)
Improvements (π and π€)
Improved velocity tracking with the accelerometer accuracy by re-processing the signal every time a little movement is detected and deleting the signal just after a rep. Previously the signal was cleared when zero velocity was detected. Now Spleeft is more able to detect the slowest reps, but the response time (time between the movement end and velocity feedback) is more significant.
New features (π)
- Automatic load – velocity profile. Spleeft currently is able to perform load-velocity profiles based on your historical data and a few conditions to be reliable. More info here.
- Daily 1RM estimation: based on the previous load-velocity profile, Spleeft now can give you an estimation of your daily 1RM in order to improve the autoregulation. More info here.Β
- Real-time power feedback: at the top-right velocity tracking screen tap the settings button and choose between velocity or power feedback.Β
- Β Max. power with a given load long-term tracking. Like the first one, you can choose between velocity or power on the history chart. More info here.
- Β Edit load at the series summary screen. Long-click on the load and enter the correct one.Β
Remember our post about the last-update new feature: Z-Score for autoregulation.