HandicapSkater.com

Wearable Mobility Evidence Platform

A research prototype for organizing wearable, route, targeted sensor, medical, and accommodation evidence into user controlled mobility records.

What this can become

A user controlled mobility evidence layer that helps people organize wearable data, route data, targeted sensor sessions, medical context, and accommodation events into privacy preserving summaries for clinicians, accessibility teams, public agencies, employers, and reviewers.

This is not a diagnostic product. It is a research prototype for organizing functional mobility evidence so reviewers can evaluate mobility by context, burden, and function instead of appearance.

Research and Platform Scope

The collaboration opportunity is framed as strategic fit, licensing, research, standards, or platform collaboration after validation for wearable health data science, accessibility, consumer wearable ecosystems, health data interoperability, and disability aware AI.

This is not a claim of any current platform partnership.

Wearable biometrics

HR, HRV/RMSSD, RRI, activity labels, duration, route context, and recovery signals organized as user controlled evidence.

Mobility analytics

Walking, skating, wheelchair labeled activity, ParaTransit, motorcycle travel, commuting, and forced alternatives treated as different functional contexts.

Pattern detection

Within person patterns can support accommodation analysis when interpreted with medical history, biomechanics, and user context.

Core modules

Activity label reconciliation

Preserve source labels while documenting user confirmed mobility context and surrogate labels.

Source linked evidence

Keep wearable, route, sensor, medical, accommodation, and public access records traceable to source artifacts.

Duplicate-aware recordkeeping

Separate analytical exclusions from audit retention so review remains transparent.

Mobility evidence intelligence

Compare mobility modes by physiologic burden, mechanical motion exposure, and body coupling rather than generic fitness categories.

Evidence Stack

HandicapSkater.com is the public case study, evidence, and product development site. HandicapSkater.org is the standards, doctrine, and accommodation-review site. The notebooks and FSICSS platform preserve the reproducible evidence and prototype layer.

Public site

Case study, healthcare brief, data corpus, story, route maps, and precedent summary.

Open public site

Standards site

Public standards and doctrine for non-standard mobility aid review.

Open standards site

Evidence notebook

Reproducible legal and biomechanics notebook context for ParaTransit burden.

Open Evidence notebook

Wearable notebook

Wearable biomechanical and ParaTransit analysis with source linked activity context.

Open wearable notebook

Separate review layer

Internal Evidence Review Console

The public HandicapSkater site explains the initiative. The internal evidence review console organizes the underlying records into cohorts, metrics, audit queues, exhibits, artifacts, graph relationships, and reviewer safe summaries.

The console is not the public story. It is the measurement and review layer behind the story: what was measured, where it came from, how it was grouped, what needs audit, and what survives review.

Metric definitions

Defines HR, RMSSD, RRI, ACC motion exposure, route distance, duration, vehicle context, body coupling, FSI, CSS, entropy, and cohort membership as separate evidence fields.

Cohort grouping

Groups comparable records by activity, body coupling, route context, transportation mode, and sensor availability.

Audit queue

Separates eligible, mixed, insufficient, missing, duplicate, and review required records so reviewers can inspect what survives analysis.

Artifact traceability

Keeps exhibits, source documents, route records, videos, and dashboard artifacts tied to reviewable claims.

Graph relationships

Connects events, cohorts, exhibits, artifacts, and claims so evidence lineage can be inspected.

Ask Evidence summaries

Supports retrieval grounded summaries while preserving source review and interpretation boundaries.

A RAG Ready Mobility Evidence Model

RAG facets should preserve activity, body coupling, physiology, mechanical exposure, vehicle type, route context, audit status, and metric coverage. Retrieval should not flatten HR, RMSSD, ACC dynamic RMS, jerk RMS, shock spike rate, cumulative dynamic shock, distance, and duration into a single flattened score.

Activity context must distinguish active controlled mobility, active ballistic walking, passive passenger transport, and recovery baseline. Vehicle and route context must remain available for transportation review.

FSI/CSS Evidence Observatory

The Evidence Observatory is the review surface for source linked FSI/CSS outputs, RAG retrieval, and reviewer safe summaries. It is designed to answer questions against pipeline corpus data, generated case study reports, public safe platform docs, and selected user added RAG documents.

Biomechanics results

Walking versus skating is evaluated by keeping physiologic burden, mechanical motion exposure, and body coupling separate where activity specific physiology exists.

Review public results summary

Transportation burden

Sedan, cutaway bus, van, rail, motorcycle, and shared ride records are compared as context specific mobility states, not interchangeable travel labels.

Review ParaTransit Burden

Live RAG workflow

The local workflow uses source linked retrieval, optional knowledge graph context, and reviewer-safe summaries. Retrieval-only mode remains available when no local model is installed.

Review source map
  • Kubios/Polar H10 is the activity specific source for HRV/RRI and accelerometer motion exposure.
  • WHOOP is longitudinal context for HR, strain, recovery, and overnight HRV patterns.
  • Strava is functional capacity context for route completion, distance, duration, and elevation.
  • Generated platform outputs remain decision support artifacts and require source review.