Sense OS application modules.
Sense OS turns pressure, motion and environmental measurements from Sense Edge into workflows for research, rehabilitation, performance, occupational use and personal wellness. Every module builds on the same movement-data foundation.
Research and Wellness are ready for partner evaluation. Rehabilitation, Performance and Occupational have been developed and are undergoing internal evaluation.
Return to the Sense OS overviewThe foundation shared by every module.
Each application uses the same measurement record and core Sense OS services.
- Device controlConfiguration, acquisition settings, firmware and sensor behavior.
- Recorded signalsPressure, motion, temperature and humidity with timestamps and quality indicators.
- Movement measuresSignal processing, sensor fusion, machine-learning and AI models, derived variables and personal-baseline comparison.
- Study contextPeople, sessions, protocols, cohorts, activities and annotations.
- Data accessStructured exports, integration libraries and partner APIs.
- TraceabilityCalibration, firmware, configuration, algorithm, model, error and crash records for every insole.
- Platform operationsDevice health, fleet analytics, storage, device groups and data availability.
- SecurityAccess controls, secure communication and update integrity.
Know how every result was produced.
Sense OS connects each result to the participant, session, device configuration and processing version behind it.
- ParticipantWho produced the recording
- SessionWhen and under which protocol
- Sense EdgeThe device and calibration state
- FirmwareThe configuration used to collect it
- ProcessingThe algorithm or model version applied
- ResultThe derived measure and quality state
Sense OS Research
Collect movement data outside the traditional gait lab without losing access to the underlying measurements.
Recordings become more useful when they retain their context. Sense OS Research can associate sensor data with study protocols, session events, interventions and participant notes, giving researchers a clearer record of what changed and when. Original signals and the processing record behind each derived result remain available for independent analysis.
- Raw and processed signals
- Participants and cohorts
- Protocol and event annotations
- Configurable acquisition
- CSV and structured exports
- API and SDK access
- Quality and invalid-data states
- Reproducible processing
Sense OS Rehabilitation
See how recovery is progressing between the moments when the patient is in the clinic.
The module organizes repeated measurements around weight-bearing goals, loading balance, stance behavior, walking volume and changes from the patient’s own history. Clinicians can review a concise recovery record instead of hundreds of isolated recordings.
- Weight-bearing targets
- Loading and movement trends
- Adherence under a defined protocol
- Between-visit summaries
- Personal-baseline comparison
- Future validated feedback
Sense OS Performance
See how an athlete’s movement responds to training load alongside the work they completed.
Sense OS compares loading, contact characteristics, pressure distribution and impact exposure with the athlete’s usual movement. It can show measurable changes during a session without turning those changes into an unsupported fatigue or injury claim.
- Personal movement baseline
- Impact exposure
- Contact and stance timing
- Pressure distribution
- Accumulated mechanical load
- Session-to-session variation
Sense OS Occupational
Measure how physical work affects movement across a shift, a workforce and an operating environment.
Worker-level views describe standing, movement, cumulative load and changes associated with carrying weight. Operational views handle the devices behind larger deployments, including assignment, battery state, configuration and data availability.
- Standing and movement exposure
- Cumulative mechanical load
- Change across a shift
- Carried-load context
- Device assignment and health
- Fleet and group reporting
Sense OS Wellness
Understand how your own movement changes over time.
Wellness views compare current movement with the person’s own history. They can show changes in loading balance, walking consistency, pressure distribution, impact and activity patterns without making disease-specific conclusions.
- Loading balance over time
- Walking consistency
- Movement volume
- Pressure-distribution changes
- Impact and variability trends
- Footwear and routine comparison
Evaluate the module that fits your work.
Tell us about your users, measurement requirements and intended application. We can discuss the appropriate Sense OS module, its evaluation status and the available integration options.