Walking Gait Analysis Solutions for Clinical & Sports Performance

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Advanced Gait Analysis for Dynamic Foot Assessment

Gait analysis is a dynamic evaluation technology that reflects our product's upgrade towards intelligence. By combining foot movement data collected through our foot scanners, pressure plates, and other devices, we conduct in-depth gait analysis and gait scan. This analysis helps in identifying gait abnormalities, which can be related to foot problems or postural issues. The data obtained from gait analysis is used to optimize our foot correction solutions, whether it's for designing better foot orthotic insoles or providing personalized advice for improving walking patterns. It is also a key part of our "detection - analysis - correction" integrated solution, especially when combined with our gait analysis software.
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Advantages

Real-Time Kinematic Feedback

Provides instant visualizations of gait deviations (e.g., overpronation, Trendelenburg gait) through color-coded heatmaps and motion trajectories, enabling immediate corrective adjustments.

Sports Performance Enhancement

Offers specialized algorithms to analyze running economy, jump mechanics, and cutting movements for athletes, identifying biomechanical inefficiencies that contribute to performance plateaus or injury risks.

Pediatric Development Monitoring

Tracks developmental gait patterns in children aged 2-12, detecting early signs of intoeing, outsole wear, or developmental dysplasia of the hip for timely intervention.

Related products

Walking gait analysis is a detailed evaluation of the patterns, mechanics, and dynamics of human walking, encompassing the entire gait cycle from the moment one foot strikes the ground to the next strike of the same foot. This analysis uses a combination of observational techniques and advanced technology—such as motion capture systems, pressure plates, and force sensors—to measure key parameters including step length, stride frequency, foot progression angle, joint ranges of motion, and pressure distribution across the foot. The objective is to understand how the body coordinates movement of the feet, legs, hips, and trunk during walking, identifying both normal function and deviations that may indicate underlying issues. In clinical practice, walking gait analysis is used to assess patients with conditions that affect mobility, such as stroke, Parkinson’s disease, or musculoskeletal injuries. For example, an analysis might reveal that a stroke patient has a circumduction gait (swinging the leg outward to clear the ground) due to weakness in the hip flexors, guiding the development of a rehabilitation plan focused on strengthening those muscles. The data can also track progress over time, showing improvements in gait symmetry or balance as the patient recovers. In ergonomics and footwear design, walking gait analysis informs the development of products that support natural walking mechanics. By identifying pressure points during heel strike and toe-off, manufacturers can design shoes with targeted cushioning or arch support, reducing the risk of blisters, calluses, or foot pain. For older adults, the analysis helps in creating footwear that enhances stability, lowering the risk of falls. Walking gait analysis also plays a role in public health, studying how factors like obesity, aging, or footwear choice affect walking patterns and overall mobility. Research in this area contributes to strategies for promoting active lifestyles and preventing mobility-related disabilities. By quantifying the complex interactions involved in walking, this analysis provides a basis for personalized interventions, product design, and public health initiatives aimed at improving walking efficiency and comfort.

Frequently Asked Questions

What is the purpose of gait analysis at FOOTWORK LAB?

Gait analysis at FOOTWORK LAB aims to evaluate foot and lower limb movement patterns to identify abnormalities (e.g., overpronation, uneven stride). This data is used to optimize orthotic insoles, improve athletic performance, and prevent posture-related issues.
Gait analysis combines data from foot scanners, pressure plates, and motion sensors (e.g., IMUs) to track 36+ movement parameters, such as knee flexion and ankle dorsiflexion. High-speed cameras capture real-time motion, while software algorithms analyze patterns to generate actionable insights.
Athletes, rehabilitation patients, and individuals with chronic foot pain all benefit from gait analysis. Athletes use it to enhance performance and reduce injury risks, while rehabilitation patients track progress in restoring normal movement patterns.
Gait analysis can detect abnormalities like overpronation, supination, Trendelenburg gait, and unequal step length. These insights help design personalized correction plans, such as custom insoles or physical therapy exercises, to address underlying issues.
The frequency of gait analysis depends on the user’s needs. Athletes may undergo periodic assessments during training cycles, while individuals in rehabilitation may have monthly reviews. Routine check-ups (annually) are also recommended for proactive foot health management.

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Customer Reviews

Laura Brown
Eye-Opening Insights into My Walking

The gait analysis revealed that I had a subtle limp from an old knee injury that I thought had healed. The team created a custom insole and recommended exercises to correct my stride. After 4 weeks, my knee pain diminished, and I walk with more confidence. Thank you for the thorough assessment.

David Wilson
Enhanced Performance for Runners

I worked with FOOTWORK LAB to analyze my running gait and identify ways to improve efficiency. The analysis showed I was overstriding, which caused knee pain. With their recommended insole adjustments and stride drills, I’ve reduced my pain and increased my average speed by 1.5 mph.

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Aging Population Assessment

Aging Population Assessment

Evaluates age-related gait changes (e.g., reduced stride length, increased double support time) in senior populations to predict fall risks and design personalized balance training programs.