
Improving Spleeft’s Barbell Velocity Algorithm with Real Data
How I used Apple Watch data, a linear encoder and recordings from Paris to improve Spleeft’s rest detection, repetition segmentation and bar velocity tracking.

How I used Apple Watch data, a linear encoder and recordings from Paris to improve Spleeft’s rest detection, repetition segmentation and bar velocity tracking.

Smart Zero improves repetition detection in demanding lifts, while new Apple Watch controls, raw-signal review, and additional VBT metrics give coaches a clearer and more flexible workflow.

Over the past few months, we have been working on three new features: detailed AI summaries of your athletes’ training sessions, synchronization of these summaries

0. For those unfamiliar with Velocity Based Training Velocity Based Training (VBT) consists of monitoring the execution velocity of repetitions performed with maximum intent to

In this new Spleeft update, we have focused on two fundamental aspects: improvements in the user experience regarding execution velocity measurement and an expansion of

Spleeft continues to consolidate its position as the hub for VBT data At Spleeft, we continue to move forward with a very clear idea: to

The Apple Watch already measures the missing data to be the most complete device on the market in all areas. It is important that you

Discover how our small project’s journey to create the first Apple Watch app to measure barbell velocity and jump height has been. It’s been two

In previous publications, we’ve mentioned that the daily condition of the athlete varies depending on a multitude of factors. Your resistance training is one of

Velocity-based training is not just lifting fast. It shows you if your training are going as planned. Let’s deep dive! INTRODUCTION Velocity-based resistance training offers

When I was a child, I remember watching “futurist” movies, characters using super technologies in their daily life, some far from reality yet (or not)
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