gaitanalysis

Gait analysis is the systematic study of human locomotion, focusing on the mechanics and patterns of walking and running. It combines observational assessment with instrumented measurement to quantify temporal-spatial, kinematic, kinetic, and muscular aspects of gait. Commonly assessed parameters include gait speed, cadence, step length, stride length, and the distribution of stance and swing phases, as well as joint angles, ground reaction forces, and muscle activity.

Measurement approaches range from qualitative, video-based observation to quantitative methods used in laboratories and clinics. Observational gait analysis relies on visual assessment, often supplemented by video recording. Instrumented gait analysis uses motion capture systems to track limb movements, force plates to measure ground reaction forces, and pressure-sensitive insoles. Wearable technologies such as inertial measurement units and surface electromyography enable data collection in clinical settings or on-field environments.

Applications of gait analysis span clinical medicine, rehabilitation, and sports science. In neurology and orthopedics, it aids diagnosis, treatment planning, and evaluation of interventions for conditions such as stroke, cerebral palsy, Parkinson’s disease, hip or knee osteoarthritis, and ACL injuries. It informs surgical decisions, prosthetic and orthotic design, and postoperative recovery. In sports, it supports performance optimization and injury risk reduction.

Limitations include the resource intensity of instrumented systems, need for specialized expertise, and variability due to speed, footwear, and task conditions. Lab-based analyses may not reflect real-world gait. Advances in wearable sensors, data analytics, and portable systems are increasing accessibility and expanding use beyond traditional gait laboratories.