# Walk Analytics — AnalyticsZone > Privacy-first walking and gait analytics for iOS and Apple Watch: gait asymmetry, cadence, stride mechanics, and walking health metrics computed locally on your device — no cloud uploads. Walk Analytics tracks gait metrics, walking zones, and health analytics for walkers, hikers, and health enthusiasts. All metrics are based on peer-reviewed sports science and computed on-device. ## Key pages - [Gait Analysis](https://walk.analyticszone.app/en/gait-analysis/): The walking gait metrics your iPhone and Apple Watch already measure, explained. - [Gait Efficiency](https://walk.analyticszone.app/en/gait-efficiency/): How efficiently you walk, and how to improve it. - [Stride Mechanics](https://walk.analyticszone.app/en/stride-mechanics/): Step length, cadence, and double support time. - [Cadence Calculator](https://walk.analyticszone.app/en/cadence-calculator/): Interactive walking cadence calculator. - [Walking for Health](https://walk.analyticszone.app/en/for-health/): Evidence-based walking guidance for general health. - [Walking for Seniors](https://walk.analyticszone.app/en/for-seniors/): Gait metrics and fall-risk awareness for older adults. - [Walking for Rehabilitation](https://walk.analyticszone.app/en/for-rehabilitation/): Tracking gait recovery after injury. - [Benchmarks](https://walk.analyticszone.app/en/benchmarks/): Reference values for walking metrics. ## Key facts - iPhone and Apple Watch measure gait metrics passively during daily walking: walking speed, step length, double support time, and walking asymmetry. - Walking asymmetry is the percentage of walking time in which the left and right steps differ in timing; lower is better, and sustained increases can signal gait problems. - Double support time is the share of the gait cycle with both feet on the ground; it typically increases with age and with balance impairments. - All calculations run locally on the device; no health data is sent to any cloud. ## Contact - Publisher: AnalyticsZone (https://analyticszone.app) - Download: https://apps.apple.com/us/app/walk-analytics/id6755187154 - Email: analyticszone@onmedic.org - Portfolio: https://analyticszone.app/llms.txt