GaitAI WatchCare
Continuous mobility intelligence from everyday wearables.
WatchCare uses smartwatch, phone and compatible wearable signals to track everyday movement between formal assessments.
Problem
Clinic visits provide snapshots. Mobility deterioration may occur during the days or weeks between those snapshots.
What GaitAI does
Wearable-derived activity and movement patterns are summarized into longitudinal mobility indicators and change alerts.
Who uses it
- Elderly users and their caregivers
- Remote-care teams
- Physiotherapy patients
- Senior-care organisations
- Wellness programs
What they receive
Example report values — illustrative, not measured performance claims.
Trends are read relative to the person's own baseline: a sustained decline in daily movement or cadence is an indicator to check in, not a diagnosis of any condition.
Why it matters
Adds the missing time dimension between clinic visits — decline that develops over weeks becomes visible as a trend instead of a surprise.
Example workflow
- 01Person wears their usual smartwatch
- 02Signals sync in the background
- 03Daily features are computed against a personal baseline
- 04Trends and change alerts surface on the dashboard
- 05Caregiver or clinician follows up when something shifts
Deployment
- Works with consumer smartwatches and phone motion signals
- No new hardware for most users
- Family caregiver view plus professional dashboard
- Feeds FallRisk and SeniorCare with between-visit evidence
Research basis
Published work is the research foundation for the capabilities this product is built on. That record covers the movement-analysis methods themselves — it is not a validation of this product's outputs, and there is no clinical validation study, accuracy benchmark or trial result behind them.
- Edge inference
- Edge gait analytics (Patent 402202)
Evidence status
GaitAI Evidence Index
2 categories documented
What is documented for this module, and what is not. Research foundation is not product validation — the two are listed separately on purpose.
- Research foundationNot yet published
- No published record in this library directly addresses a capability this module is built on.
View evidence for Research foundation
Claim / capability: No published record in this library directly addresses a capability this module is built on.
Status: Not yet published
Applicability: The cited work is specifically about a method or movement signal this module draws on.
Limitation: Research relevance is not evidence that this product's outputs have been validated.
No supporting source is published for this status.
Inventory reviewed .
- Architectural research relationshipAvailable
- 1 published record informs shared platform capabilities this module uses (Edge gait analytics (Patent 402202)). The research does not address this module's application specifically.
View evidence for Architectural research relationship
Claim / capability: 1 published record informs shared platform capabilities this module uses (Edge gait analytics (Patent 402202)). The research does not address this module's application specifically.
Status: Available
Applicability: Shared capabilities such as pose estimation or temporal modelling are used by many modules.
Limitation: A shared-platform relationship is the weakest research link and must not be read as validating this module.
Inventory reviewed .
- Product specificationAvailable
- The module has a documented specification: inputs, pipeline, outputs and stated limitations.
View evidence for Product specification
Claim / capability: The module has a documented specification: inputs, pipeline, outputs and stated limitations.
Status: Available
Applicability: Documented inputs, intended workflow and output design.
Limitation: Documentation does not establish a released implementation or deployment readiness.
- specificationProduct documentation
Inventory reviewed .
- Product implementation evidenceNot yet published
- No module-specific release or deployment record is published here.
View evidence for Product implementation evidence
Claim / capability: No module-specific release or deployment record is published here.
Status: Not yet published
Applicability: Production implementation is distinct from this website's interactive prototypes.
Limitation: The browser pose explorer is not the full clinical or operational product pipeline.
- Context · not validation evidenceProduct and deployment context
Inventory reviewed .
- Interactive demoNot yet published
- No sample output has been built for this module yet.
View evidence for Interactive demo
Claim / capability: No sample output has been built for this module yet.
Status: Not yet published
Applicability: An interactive explanation of the intended output and workflow.
Limitation: Sample outputs contain illustrative values and are not measurements of a visitor or product performance.
No supporting source is published for this status.
Inventory reviewed .
- Benchmark validationNot yet published
- Validation pending publication. No product benchmark numbers are supplied.
View evidence for Benchmark validation
Claim / capability: Validation pending publication. No product benchmark numbers are supplied.
Status: Not yet published
Applicability: A benchmark needs a defined dataset, sample count, environment, hardware and evaluation method.
Limitation: Accuracy, sensitivity, specificity, latency and FPS cannot be inferred from a demonstration.
- Context · not validation evidenceResearch evidence inventory
Inventory reviewed .
- Product-specific validationNot yet published
- No study in the published record evaluates this module's output for a particular intended use.
View evidence for Product-specific validation
Claim / capability: No study in the published record evaluates this module's output for a particular intended use.
Status: Not yet published
Applicability: Validation must match the module, population and intended decision.
Limitation: A product description or related research paper does not establish validated performance.
- Context · not validation evidencePublished evidence inventory
Inventory reviewed .
- Pilot & deployment evidenceNot yet published
- No named pilot, deployment result or customer outcome is documented.
View evidence for Pilot & deployment evidence
Claim / capability: No named pilot, deployment result or customer outcome is documented.
Status: Not yet published
Applicability: Pilot and deployment evidence is assessed separately from research.
Limitation: Use-case journeys describe intended workflows, not customer results.
- Context · not validation evidenceTrust Center
Inventory reviewed .
- Product-specific clinical validationNot yet published
- No product-specific clinical validation study is published in this library.
View evidence for Product-specific clinical validation
Claim / capability: No product-specific clinical validation study is published in this library.
Status: Not yet published
Applicability: Clinical applicability depends on the intended use; safety modules are not presented as clinical tools.
Limitation: No output replaces clinician judgement or establishes a diagnosis.
- Context · not validation evidenceResponsible use and intended context
Inventory reviewed .
- Regulatory clearanceNot claimed
- No medical-device clearance, regulatory approval or compliance status is claimed.
View evidence for Regulatory clearance
Claim / capability: No medical-device clearance, regulatory approval or compliance status is claimed.
Status: Not claimed
Applicability: Regulatory applicability depends on the intended use and deployment jurisdiction.
Limitation: Research publications, patents and prototypes are not regulatory clearances.
- Context · not validation evidenceWhat GaitAI does not claim
Inventory reviewed .
Inventory reviewed How GaitAI states evidence →
Privacy & responsible use
Designed to support consent-based capture, encrypted transfer, configurable retention and role-based access, with activity logging and skeleton-only processing modes. Deployment requirements depend on the applicable environment, organization and jurisdiction. Privacy-aware architecture does not automatically mean anonymity: pose, gait and trajectories may still carry identifying information. GaitAI outputs are AI-generated movement metrics intended as decision support — they do not diagnose medical conditions and do not replace clinical judgement. Insurance and wellness workflows are not for automated underwriting, eligibility, coverage or premium decisions. Any such use requires separate explicit governance and a documented legal basis; the published evidence does not establish support for those decisions.
Context & limitations
- Consumer wearable signals vary by device and wear habits
- Trends indicate change in movement behaviour, not its medical cause
- Not an emergency-detection or SOS system
Related MobilityCare products
All products
Surface mobility decline and fall-risk indicators early.
Uses gait, balance, variability, posture and longitudinal movement trends to sort elderly and at-risk patients into low / medium / high screening categories for clinician review.
Monthly mobility, frailty trends, caregiver summaries.
Runs periodic mobility assessments for senior citizens and surfaces longitudinal mobility changes and decline indicators for caregiver or clinician review.
Walk at home. Turn movement into a clinician-ready report.
Patients upload guided walking videos from home; clinicians receive AI-generated progress reports and review them on a unified dashboard.