Technology
The hardware and software that turn a barbell rep into a velocity number, and why every device gives you a slightly different one.
VBT technology is the family of devices and apps that turn a barbell rep into a velocity number: linear position transducers, inertial sensors, and camera-based systems. VBT lives or dies on the quality of that measurement. Same lifter, same load, same intent, and different devices will give you different numbers. Some of that is calibration, some is the math each device runs on the raw signal, and some is the physics of how the device watches the bar move.
The four families of measurement
Most VBT hardware falls into four families:
- Linear position transducers (LPTs) — a tethered cable clipped to the bar pays out as the bar rises. The device times the unwind to derive position, then differentiates to velocity. Accurate, reliable, expensive, and tethered. The lab benchmark.
- Inertial measurement units (IMUs) — accelerometers + gyroscopes fastened to the bar or a sleeve integrate acceleration twice to estimate position and velocity. Wireless, cheap, but the integration drift on each rep means accuracy depends heavily on how each rep is segmented.
- Optical / vision systems — a camera (smartphone or fixed) tracks a marker or the bar itself across frames. No cable, no sensor on the bar; calibration relies on a known reference in the frame. Quality scales with frame rate and tracking algorithm. Metric is a camera-based app in this family.
- Linear position transducers, cable-free — laser- or radar-based variants that read range to a reflector on the bar. Fewer in production, but worth knowing about as a category.
What changes between devices
Two things to watch when comparing numbers across devices:
- Which velocity metric is being reported. Mean concentric, peak concentric, mean propulsive, peak propulsive: these are different numbers from the same rep, and they don’t all agree on which load is truly heavy. A 0.55 m/s “mean” and a 0.55 m/s “peak” describe two different efforts.
- Where the rep boundaries get drawn. Velocity numbers are an integral over a window. If two devices disagree on when the concentric phase started or ended, they will disagree on the velocity even if their raw signals are identical.
The practical implication: stick with one device per athlete, per profile. Velocity targets calibrated on one device don’t transfer cleanly to another. If you change devices mid-block, expect to re-profile.
Choosing for a gym
The right pick depends on throughput and budget more than on any single accuracy spec. The trade-offs that usually decide it:
- A single athlete on one platform leans toward a phone-camera app: cheapest way in, accurate enough for intent feedback and training-zone work, with precision that can wobble on slow grinder reps.
- Several athletes sharing a platform daily leans toward a tethered LPT, which pays for itself in throughput. No phones to set up between sets, no calibration drift between athletes.
- A whole gym leans toward IMUs on cost-per-station, accepting the integration-drift trade-off and building the workflow around firm rep segmentation.
The best device is the one that gets used. A perfect LPT no athlete will set up beats no data; a phone in a rack with a one-tap workflow beats a perfect LPT no one wants to dig out.
Metric — camera-based VBT app
Looking for specific picks? The model-by-model comparison — which device, at which price, for which gym — is its own write-up.
Best velocity-based training devices and apps — a buyer's guide
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Velocity-time graph
Bar velocity across a whole set of five reps. Each rep is a concentric spike above zero and an eccentric dip below it — the raw signal every velocity metric is calculated from.
Acceleration-time graph
The acceleration of the bar across the same five-rep set. Because acceleration is a rate of change, it spikes hard at every turnaround — the reason peak-based metrics are so sensitive to noise.
Anatomy of a rep
The velocity-time trace of a single rep, with the three ways to measure it drawn on: peak velocity (the fastest instant), mean velocity (average of the whole concentric), and propulsive velocity (concentric up to the point of deceleration).
Bar-speed feedback boosts performance
Randell 2011 — pro rugby players who saw real-time velocity feedback during jump-squat training out-gained the no-feedback group on every transfer test.
Feedback beats internal & external cues
Keller 2014 measured two outcomes from the same three-condition study — acute jump output and within-set fatigue. Augmented feedback won both — ~4× more acute improvement than the best verbal cue, plus an inverted within-set fatigue curve.
Velocity feedback boosts transfer
Weakley 2019 — 4 weeks of augmented velocity feedback in rugby union players. Feedback group beat the no-feedback group on every test, including a peak-power loss the no-feedback group couldn't avoid.
VBT-adjusted loads beat fixed loads
Muñoz de la Cruz 2023 — six weeks of resistance training with daily VBT-adjusted loads out-gained a fixed-load prescription on every outcome, including strength, jumps, and 30 m sprint metrics.
Individualised VBT beats group loads
Dorrell 2020 — six weeks of VBT, with one group prescribed loads from a shared group-mean profile and the other from each athlete's own load-velocity profile. The individualised group out-gained on every measure.
Reliability vs validity
The classic 2×2 target illustration. Validity is hitting the bullseye; reliability is grouping tightly. For day-to-day velocity-based training, a tight group in the wrong spot beats a loose scatter around the right one.