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AI gait analysis for clinics: Walking is a vital sign.

Record a short walk on a smartphone. StepAnalyser's AI reads every step and turns it into an objective gait report — so changes in mobility are caught early, while there is still time to act.

What the AI reads from one walk

WALKING SPEED
Preventive careFamily medicineGeriatricsPhysiotherapyNeurologySports medicinePreventive careFamily medicineGeriatricsPhysiotherapyNeurologySports medicinePreventive careFamily medicineGeriatricsPhysiotherapyNeurologySports medicinePreventive careFamily medicineGeriatricsPhysiotherapyNeurologySports medicine
Early detectionAI gait reportsObjective documentationPatient baselinesPrivacy by designNo lab equipmentEarly detectionAI gait reportsObjective documentationPatient baselinesPrivacy by designNo lab equipmentEarly detectionAI gait reportsObjective documentationPatient baselinesPrivacy by designNo lab equipmentEarly detectionAI gait reportsObjective documentationPatient baselinesPrivacy by designNo lab equipment
01 — Why gait

The way a patient walks says more than a quick look can catch

Today

Gait is hard to measure in everyday practice

Observing a patient walk gives an impression, not a measurement. Instrumented gait labs are precise, but they are expensive, few and far between — so most changes in walking are judged by eye, or not at all.

  • Watching the patient walk down the corridor
  • Notes that are hard to compare next time
  • Referral to a specialised gait lab
  • Waiting lists and extra visits

With StepAnalyser

An objective gait assessment in your own exam room

The patient walks a few metres with a smartphone on the thigh. StepAnalyser's AI analyses every step and returns a report you can file, explain to the patient and compare at the next visit.

  • A smartphone instead of lab equipment
  • AI analysis of every step
  • A clear report in plain clinical language
  • Changes caught early, visit to visit
02 — The walk

A few metres of walking, measured step by step

ContactLoadingSupportPush-offSwing

Heel contact. The heel meets the ground and the leg takes the impact.

Every step becomes data the AI can read.

How a walk is measured
03 — The AI

AI that reads every step

  1. 01

    Record

    The phone on the thigh records how the leg moves — a raw, noisy signal no one could read by eye.

  2. 02

    Find every step

    The AI cleans the signal and marks each heel contact, right and left, across the whole walk.

  3. 03

    Line the strides up

    Every stride is laid over the others. When they overlap closely, the walking rhythm is steady.

  4. 04

    Compare

    The walk is set against the patient's previous visit, so even small changes stand out.

  5. 05

    Report

    Findings are written up in plain language, for the clinician to review and discuss.

MOVEMENT RECORDED AT THE THIGHRAWALL STRIDES, LINED UP
04 — In your clinic

Four steps, one routine

01020304STEP 01 OF 04 · RECORD
  1. 01

    Record

    The patient walks. The phone records.

    Put the phone on the patient's thigh and ask them to walk a short distance — a corridor is enough. No lab, no markers, no treadmill.

    • Smartphone
    • Short walk
    • Any corridor
  2. 02

    Analyse

    The AI reads every step.

    The recording is analysed automatically: steps are found, timed and compared, so nobody has to count or score by eye.

    • AI analysis
    • Every step
    • Automatic
  3. 03

    Review

    A clear report for the clinician.

    Results arrive as a structured gait report in plain clinical language — ready to discuss with the patient and add to their record.

    • Gait report
    • Plain language
    • Patient record
  4. 04

    Follow up

    Changes you can act on early.

    Each new walk is compared with the patient's own baseline, so a quiet decline stands out long before it becomes a problem — and so does the effect of acting on it.

    • Baseline
    • Timeline
    • Export
05 — What you get

Built for everyday clinical practice

Short appointments, busy staff and patients who come back — every part of StepAnalyser is shaped around how clinics actually work.

01

An AI gait report after every walk

Each recording is analysed and summarised in a structured report — walking rhythm, left/right balance and change over time — written for clinicians, not engineers.

AI report · exampleanalysed
Walking rhythmRegular
Left / right balanceWithin range
Since last visitSlight decline
02

Patient timelines and baselines

Every session lands on the patient's timeline and is compared with their own baseline, so a gradual change is visible long before it would be noticed by eye.

Baseline · routine check-upsflagged at visit 6
03

Privacy by design

Consent is recorded before capture, personal identifiers are kept apart from the walking data, and anonymisation options are built in.

Namekept apart
Record IDkept apart
Walk data
04

Exports for records and research

Structured exports carry gait data into patient records, statistics tools and clinical studies without retyping anything.

session_04.csv
timeline.json
cohort_a.csv
06 — Who it's for

For every practice where walking matters

From a family practice to a hospital department — anywhere a change in how someone walks is worth catching early.

01

Preventive & family medicine

A quick, objective mobility check as part of the routine visit.

02

Geriatrics

Notice a slow loss of mobility at check-ups, while there is still time to act.

03

Physiotherapy & rehab

Spot compensation early and show patients measurable progress.

04

Neurology

Document early changes in walking rhythm and symmetry over months.

05

Sports medicine

Catch left–right imbalances early, before they turn into a problem.

06

Orthopaedics

Useful after surgery too: follow how walking returns, visit by visit.

0

Smartphone

The only device in the room

0

Lab equipment

No markers, plates or treadmill

0

Platforms

iOS & Android

Book a demo

See StepAnalyser in your clinic

Tell us a little about your practice. We'll show you how a short walk becomes a gait report — and how it could fit into the appointments you already have.

A live demo of the app and an AI gait report

A pilot with your own team and patients

Answers on data protection and how it fits your records

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