Featured onCBS NewsWatch the segment
Running biomechanics / Gait analysis

Gait analysis should follow the runner, not stay in the lab

A treadmill test can capture a moment. A camera can capture an angle. STRIV captures the run: both feet, every phase of the step, and the way mechanics change across real miles.

04

The short answer

Running gait analysis is a structured assessment of how a person runs. It connects four stories: timing, movement, pressure, and force. STRIV combines them in one wearable view, then adds what a short test usually misses: left–right behavior, step-to-step consistency, and change across the whole session.

01

Every step

Cadence, contact time, loading, midstance, push-off, and off-ground timing.

02

Both feet

Separate left–right pressure, force, pronation-related motion, and load paths.

03

Across the run

See when a stable personal pattern holds, and when it begins to drift.

01

What is running gait analysis?

Your running gait is the repeated cycle that carries you from one foot contact to the next.

In everyday use, gait analysis, gait assessment, gait test, and running form analysis can describe overlapping services. What matters is the method behind the name. A quick video at a running store is different from a clinical assessment, a 3D motion lab, or repeated measurement with pressure and motion sensors.

02

How is running gait analyzed?

Different systems see different parts of the same step. Video is useful for visible movement. Force plates measure ground-reaction force. Pressure insoles show where load is distributed beneath the foot. Motion sensors add repeated timing and movement signals outside the lab.1

03

Pace is the result. Gait is how you produced it.

Gait analysis connects timing, movement, and ground interaction. Cadence and contact time describe when a step happens. Motion describes how the foot moves. Pressure and force describe how the runner meets the ground. Variability and left–right comparisons reveal whether that strategy repeats.1,2

Put together, those measurements describe the mechanics alongside the pace: not only that the runner sped up or slowed down, but what changed under each foot as it happened.

04

Every step is a connected sequence

Landing shows where and how load arrives. Midstance shows how the foot adapts and carries the body forward. Push-off shows where pressure finishes and how quickly the foot leaves. The next contact reveals whether the opposite side repeats the same strategy.

A single average erases that sequence. STRIV keeps the phases connected so cadence, contact time, pressure distribution, CoP, pronation-related motion, and force can be read as one step, not six unrelated charts.

05

The signal at the foot opens a window on the whole chain

Researchers have used plantar-pressure signals to reconstruct continuous running ground-reaction forces, and instrumented-insoles to estimate knee contact force and knee moments across walking, running, and daily movements.5,6

Wearable motion models have also estimated structure-specific peaks, impulses, and loading rates around the Achilles tendon, patellar tendon, ankle, and knee during running. These advances are why the foot–ground signal matters: it is the mechanical starting point for understanding how load travels through the runner.7

STRIV turns that starting point into something runners can collect every session, not only during an occasional lab visit.

06

26 measurements. Two feet. One running story.

With 128 pressure sensors beneath each foot plus motion sensing, STRIV captures 26 measurements per step. That includes pressure distribution, CoP progression, timing, pronation-related roll, peak vertical GRF, loading rate, cadence, and left–right differences.

The value is not the metric count. It is the connection between them: whether one side lands harder, stays longer, rolls differently, moves pressure through another path, or changes first as the session progresses.

07

Real runs reveal what a short test can miss

Running mechanics change with speed, step rate, terrain, incline, footwear, and the demands of the session. Repeated wearable measurements make those changes visible in the environment where they actually happen.1,3

That creates a personal feedback loop: see the pattern, test a cue or shoe, run again, and learn whether the change held across real steps. Gait analysis stops being a one-time verdict and becomes part of training.

  • Compare the same runner before comparing different runners.
  • Separate left and right instead of hiding them in a whole-body average.
  • Follow change across the run, not only the session summary.

How STRIV analyzes gait across a real run

See how STRIV works
FAQ

Running gait analysis: common questions

Is there a “proper” or “correct” running gait?

There is no single running gait that research has shown to be correct for every runner. Running mechanics vary with speed, fatigue, footwear, surface, body characteristics, and testing conditions, so results should be interpreted in context and against the runner’s own repeatable baseline.1,8

How should I interpret gait-analysis results?

Pace is the outcome; gait analysis helps explain how the runner produced it. Interpretation should compare repeated measurements collected under similar conditions, because speed, incline, surface, footwear, fatigue, sensor placement, and testing protocol can affect the results.1,8

  • Compare similar conditions. Keep pace, incline, surface, footwear, and sensor setup consistent.
  • Establish a personal baseline. Compare the runner with their own repeatable pattern before relying on population averages.
  • Look for repeated patterns. One unusual step does not establish a trend.
  • Change one variable at a time. Test one cue, shoe, pace, or training adjustment before adding another.
  • Retest during the relevant task. Confirm that an observed change holds across enough repeated steps and under realistic running conditions.

There is no universal minimum number of seconds or steps that makes a running gait assessment valid; the required protocol depends on the metric, device, runner, and purpose of the assessment.1

What is the difference between gait analysis and running form analysis?

The terms often overlap and are not used consistently across research or commercial services. In practice, running form analysis usually focuses on visible posture and movement, often using video, while running gait analysis may also include timing, pressure, acceleration, force estimates, joint motion, and repeated-step measurements.1

Before comparing services, ask which tools, measurements, testing conditions, and outputs are included.

Can I do a running gait analysis at home?

Yes. Video and wearable sensors can collect useful running-gait data outside a laboratory, including during outdoor and real-world running, although accuracy depends on the device, metric, sensor placement, and protocol.1

Home analysis is most useful for repeatable comparisons and monitoring change. It should not be treated as a medical diagnosis or replace a clinical assessment when pain, injury, neurological symptoms, or other health concerns are involved.

Can gait analysis prevent running injuries?

Gait analysis can identify movement patterns, inform coaching or rehabilitation questions, and measure whether a change is maintained. However, current evidence linking individual biomechanical variables to running injuries is limited and inconsistent, so an observed pattern does not by itself establish injury risk.4,9

Gait-retraining studies show that some interventions can change step rate, knee kinematics, and vertical loading rate, but evidence for reducing pain or preventing injuries remains limited. Gait analysis therefore cannot guarantee injury prevention.10

Evidence base

References

  1. Mason R et al.Wearables for Running Gait Analysis: A Systematic ReviewSports Medicine, 2023
  2. Horsley BJ et al.Does Site Matter? Impact of Inertial Measurement Unit Placement on the Validity and Reliability of Stride Variables During RunningSports Medicine, 2021
  3. Heiderscheit BC et al.Effects of step rate manipulation on joint mechanics during runningMedicine & Science in Sports & Exercise, 2011
  4. Peterson B et al.Biomechanical and Musculoskeletal Measurements as Risk Factors for Running-Related Injury in Non-elite RunnersSports Medicine - Open, 2022
  5. Honert EC et al.Estimating Running Ground Reaction Forces from Plantar Pressure during Graded RunningSensors, 2022
  6. Snyder SJ et al.Prediction of knee loads during activities of daily living using custom instrumented insoles and machine learningJournal of Biomechanics, 2025
  7. Bogaert S et al.Machine learning-based estimation of structure-specific load around the ankle and knee joint during running using IMU dataFrontiers in Bioengineering and Biotechnology, 2026
  8. Zandbergen MA et al.Effects of level running-induced fatigue on running kinematics: A systematic review and meta-analysisGait & Posture, 2023
  9. Lopes AD et al.Are alterations in running biomechanics associated with running injuries? A systematic review with meta-analysisBrazilian Journal of Physical Therapy, 2023
  10. Doyle E et al.The Effectiveness of Gait Retraining on Running Kinematics, Kinetics, Performance, Pain, and Injury in Distance Runners: A Systematic Review With Meta-analysisJournal of Orthopaedic & Sports Physical Therapy, 2022

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.