Types Of Gait Analysis

Gait analysis is the detailed assessment of how a person walks or runs, using observation and technology to measure movement patterns, joint angles, and forces through the body. It is now a key tool for fitness professionals, runners, therapists, and AI-powered platforms looking to reduce injury risk, improve performance, and personalise training or footwear recommendations.

What is gait analysis?

Gait analysis is the systematic study of human locomotion – how we walk and run – with the goal of understanding, measuring, and optimising movement patterns. It looks at the interaction between joints, muscles, and ground reaction forces over each phase of the gait cycle (stance and swing), highlighting inefficiencies or compensations that may contribute to pain or reduced performance.

Modern systems can go far beyond visual observation, combining high‑speed cameras, pressure plates, force platforms, and in some cases AI‑driven motion capture to quantify biomechanical variables such as cadence, stride length, joint angles, loading rates, and symmetry between left and right sides. These data points help practitioners understand whether someone over‑pronates, has restricted hip extension, collapses at the knee, or overstrides, for example, and then design targeted interventions.

In practice, a gait assessment typically involves:

• A brief history of pain, training volume, footwear, and goals.
• Walking or running on a treadmill or over ground while being filmed from multiple angles.
• Sometimes the use of markers, sensors, or depth cameras to track joint motion in 2D or 3D.
• A review where the practitioner explains key findings and recommends changes to technique, footwear, strength work, or load management.

An effective gait analysis connects the dots between what is seen on video or captured by sensors and what the client feels in terms of pain, performance, or fatigue.

Gait analysis for trainers and coaches

For personal trainers, strength coaches, and running coaches, gait analysis is a powerful assessment tool that enhances screening, programme design, and client retention.

Why trainers should use gait analysis

• Deeper movement screening: Instead of relying solely on static posture checks and basic movement tests, trainers can understand how clients actually move under real‑world conditions like walking, running, and change of direction. This reveals compensations that may not appear during simple squats or lunges.
• Individualised exercise selection: By pinpointing weak links (for example poor glute activation, limited ankle dorsiflexion, or excessive hip adduction), trainers can tailor strength, mobility, and motor‑control drills to the specific issue driving poor gait mechanics.
• Footwear and equipment recommendations: Gait analysis helps guide decisions on shoe type, orthotics, or inserts, which can drastically change load distribution through the foot, knee, and hip.
• Performance coaching: For runners and field‑sport athletes, coaches can cue changes to cadence, stride length, trunk position, and arm swing to improve running economy and speed while keeping injury risk under control.
• Evidence‑based progress tracking: If a client is rehabbing an injury, repeated gait assessments provide objective before‑and‑after data, helping trainers and therapists monitor whether mechanics are actually changing over time.

Practical uses in a PT or coaching setting

• Baseline assessment at onboarding, especially for runners or clients with a history of lower‑limb pain.
• Periodic re‑testing to evaluate the impact of strength or mobility blocks.
• Integrating still frames or short clips into coaching feedback, allowing clients to “see” what they are being cued to change.
• Collaborating with physios or podiatrists, sending gait reports to support multidisciplinary care.

For many trainers, even a simple smartphone‑based, slow‑motion rear and side‑view gait analysis can reveal enough to meaningfully refine a client’s programme.

Running gait analysis

Running gait analysis focuses specifically on mechanics during jogging and running, where impact forces and repetitive loading magnify small inefficiencies. It is especially popular among distance runners, triathletes, and team‑sport athletes.

What running gait analysis looks at

Key elements typically assessed include:

• Foot strike pattern (rearfoot, midfoot, forefoot) and where relative to the centre of mass the foot lands.
• Degree and timing of pronation and supination through stance.
• Knee position (for example valgus collapse versus stacked alignment) at mid‑stance.
• Hip extension and pelvic control during late stance.
• Trunk angle and arm swing rhythm.
• Cadence (steps per minute) and stride length.

These variables influence impact peaks, loading rates, and the distribution of forces through ankles, knees, hips, and lower back. Even small tweaks – such as slightly increasing cadence or reducing overstriding – can meaningfully change joint loading and running economy.

Who benefits from running gait analysis?

• Runners with recurring injuries such as shin splints, plantar fasciitis, IT band pain, or “runner’s knee”.
• Athletes increasing mileage or intensity who want to minimise injury risk.
• Competitive runners chasing performance gains through improved efficiency.
• Post‑injury or post‑surgical runners needing clearance and a plan to return to sport safely.

Many specialist running stores now combine a brief gait assessment with shoe fitting, helping runners identify models that better match their mechanics.

Overview table: types of gait analysis

Type	Setting	Tech used	Typical user
In‑person basic gait analysis	Shop/gym	Treadmill + 2D video	Recreational runners, general clients
In‑person clinical gait analysis	Physio/sports clinic	Multi‑camera, force/pressure platforms	Injured athletes, complex cases
Online gait analysis	App/online platform	Smartphone video + human/AI review	Remote runners, online coaching clients
2D video gait analysis	Any	Single/multi‑camera 2D	Trainers, store staff, basic clinics
3D gait analysis	Lab/clinic	Marker/markerless 3D + force plates	Elite sport, research, complex rehab
AI‑assisted gait analysis	Various	Computer vision, ML models	Scalable clinical/fitness applications

Gait analysis - How It Can be Delivered: in‑person, online, 2D, 3D, and AI‑driven

Gait analysis has evolved from purely observational methods to a spectrum of technology‑assisted approaches. At a high level, you can think of three main axes: location (in‑person vs online), dimensionality (2D vs 3D), and intelligence (traditional vs AI‑enhanced).

In‑person gait analysis

This is the classic model in clinics, running shops, and performance centres.

• Basic in‑store or gym‑based gait analysis often uses a treadmill, a rear or side‑view camera, and slow‑motion playback. Staff visually assess foot strike, pronation, stride length, and overall form to offer footwear or technique advice.
• Clinical gait analyses in physiotherapy or sports medicine settings may add force plates, pressure mats, and multi‑camera setups, allowing more precise measurement of joint angles, forces, and plantar pressure distribution.

In‑person assessments offer the advantage of real‑time coaching and the ability to trial interventions such as different shoes or cadence changes immediately on the treadmill.

Online gait analysis

Online gait analysis has grown rapidly, especially since more athletes train remotely. It typically involves:

• The client filming themselves walking or running from prescribed angles (for example rear, side, front) using a smartphone.
• Uploading footage via an app or platform, where a coach, physio, or AI‑assisted system analyses the clips.
• Receiving a written or video report outlining key issues and recommended drills, cues, or footwear changes.

This remote gait analysis model increases access and allows follow‑up assessments without travel, making it attractive for runners in areas without specialist clinics. Some platforms now integrate AI to automatically detect joint positions and flag common issues such as overstriding or excessive pronation.

2D video gait analysis

2D gait analysis uses standard or high‑speed video from one or more angles, viewed in slow motion or frame‑by‑frame.

• Pros: Low‑cost, accessible with a smartphone or tablet; enough for many practical coaching decisions.
• Cons: Limited ability to quantify motion in out‑of‑plane directions, such as rotations or subtle 3D deviations at the hip and pelvis.

Trainers often use 2D gait analysis systems with simple angle‑measuring tools (digital goniometers) to estimate joint positions and track changes over time.

3D gait analysis

3D gait analysis uses multiple cameras, depth cameras, or marker‑based motion capture to reconstruct movement in three dimensions.

• It measures joint angles, velocities, and accelerations in all planes, plus timing and symmetry between limbs.
• Some systems integrate force plates to calculate joint moments and loading, giving a highly detailed picture of how forces travel through the kinetic chain.

3D gait analysis systems are particularly valuable for:

• Complex or persistent injuries where subtle biomechanical issues are suspected.
• High‑performance athletes seeking marginal gains.
• Research and advanced clinical decision‑making.

Depth‑camera‑based 3D systems eliminate the need for reflective markers, speeding up setup and making this level of gait analysis more accessible.

AI‑assisted gait analysis

AI and computer vision now sit on top of both 2D and 3D gait analysis approaches, automatically detecting body segments and generating joint trajectories from standard video.

• AI models can label key gait events (heel strike, toe‑off), calculate spatiotemporal parameters (cadence, step length, stance time), and flag deviations from normative data.
• Some systems run in real time, offering immediate feedback or integrating with wearables for continuous monitoring.

This AI‑driven layer is making gait analysis more scalable, allowing gyms, clinics, and even consumer apps to deliver objective gait metrics without full motion‑capture labs.

 

Key Types of Gait Analysis

• Observational (qualitative) gait analysis
• 2D video kinematic gait analysis
• 3D motion‑capture kinematic gait analysis
• Kinetic gait analysis with force and pressure platforms
• EMG‑based gait analysis
• Wearable‑sensor gait analysis (IMUs, in‑shoe pressure, etc.)
• Online and remote gait analysis
• AI‑assisted gait analysis via apps and computer vision

Observational (Qualitative) Gait Analysis

• This is the simplest and most widely used form of gait analysis.
• Visual assessment by a clinician, coach, or trainer while the person walks or runs.
• May use slow‑motion video and freeze‑frame to help spot asymmetries, compensations, and obvious abnormalities.
• Low cost and quick, but highly dependent on the observer’s experience and less precise than instrumented methods.

Instrumented Quantitative Gait Analysis

Here, tools and sensors are used to generate objective data on how a person walks or runs.

1. Kinematic gait analysis (2D and 3D) - Focus: Joint angles and movement patterns.

2D kinematic gait analysis

• Uses one or more standard or high‑speed cameras in a single plane (typically sagittal and/or frontal).
• Software can measure joint angles, stride length, cadence, and stance/swing times from video.
• Accessible and adequate for many clinical and coaching settings, but cannot fully capture out‑of‑plane motion.

3D kinematic gait analysis

• Uses multiple cameras and either reflective markers or markerless depth/vision systems.
• Reconstructs movement in three dimensions, reporting detailed joint angles, velocities, accelerations, and symmetry.
• Gold standard for research and high‑end sports or clinical labs; requires specialist equipment and expertise.

2. Kinetic gait analysis - Focus: Forces and loads.

• Uses force plates, pressure plates, or instrumented walkways embedded in the floor or treadmill.
• Measures ground reaction forces, centre of pressure, and plantar pressure distribution under the feet.
• Helps quantify loading on joints and tissues, supporting injury analysis, footwear/orthotic design, and surgical decision‑making.

3. Electromyography (EMG) gait analysis - Focus: Muscle activation.

• Surface or fine‑wire EMG sensors record the timing and intensity of muscle activity during the gait cycle.
• Shows whether muscles fire too early, too late, or insufficiently, helping to refine rehab and neuromuscular training.
• Often combined with kinematic and kinetic data for a full 3D picture of gait.

4. Wearable‑Sensor Gait Analysis

• Wearable systems use sensors on the body rather than fixed lab equipment.
• Common sensors include inertial measurement units (accelerometers and gyroscopes), pressure insoles, and small force sensors.
• Allow gait analysis outside the lab in real‑world environments, over longer durations and varied terrain.
• Useful for monitoring everyday gait in older adults, post‑op patients, or athletes in the field.
• Hybrid systems may combine lab‑based cameras or force plates with wearables to capture both detailed and real‑world data.

5. Online and Remote Gait Analysis

This category is defined by how the service is delivered rather than the underlying physics.

• Users record walking or running on a phone from standard angles and upload clips.
• A clinician, coach, or AI‑enabled platform analyses the footage and sends a report with findings and recommendations.
• Increases accessibility for runners and clients who do not have a local gait lab, and pairs well with online coaching.

6. AI‑Assisted and App‑Based Gait Analysis

• AI and computer vision are increasingly layered on top of video and sensor data.
• Software automatically detects key landmarks and gait events (heel strike, toe‑off) from standard smartphone video.
• Generates spatiotemporal metrics like cadence, step length, stance/swing times, and sometimes estimates of joint angles.
• Designed to be scalable for clinics, gyms, and consumer apps, lowering the barrier to entry for quantitative gait analysis.

Key benefits of gait analysis

Whether delivered in person or online, simple or high‑tech, gait analysis offers a cluster of benefits that matter for health, performance, and user experience.

1. Injury prevention and reduced pain

One of the primary benefits of gait analysis is identifying movement patterns that overload specific tissues and joints before they become major injuries.

• Common issues detected include excessive pronation, asymmetrical loading, overstriding, hip drop, or limited ankle dorsiflexion.

• Addressing these through strength training, mobility work, technique changes, orthotics, or footwear choices can reduce strain on knees, hips, Achilles tendons, and plantar fascia.

Early detection of subtle abnormalities via gait analysis allows practitioners to intervene before they escalate into chronic pain or long layoffs from training.

2. Performance and running economy

Improved gait mechanics often translate directly into better performance.

• Optimising stride length and cadence, aligning joints more effectively over the base of support, and reducing unnecessary vertical oscillation can make every step more efficient.

• Over time, this means faster race times at the same effort, greater training volumes tolerated, and better long‑term progression.

For competitive athletes, running gait analysis can identify small, specific changes – such as altering trunk lean or arm carriage – that yield marginal gains without major technique overhauls.

3. Better posture and movement quality

Gait analysis doesn’t just look at feet; it reveals global posture, pelvic control, and spinal alignment during dynamic movement.

• Correcting underlying compensations can improve overall posture, reduce energy leaks, and create a more balanced, symmetrical movement pattern.

• Many people experience reductions in back, hip, or neck discomfort once gait‑related postural issues are addressed.

These changes often carry over beyond running or walking, positively affecting day‑to‑day movements and other training tasks.

4. Personalised footwear and orthotic recommendations

Understanding a person’s unique gait allows far more precise footwear matching than simply choosing based on arch height or brand preference.

• Clinicians can use gait analysis data to determine whether someone might benefit from stability shoes, neutral shoes, lower‑drop models, or custom orthotics.

• Orthotics can be used to realign the foot, redistribute pressure, and improve walking or running efficiency for people with significant biomechanical issues.

This reduces the trial‑and‑error element of shoe buying and improves comfort and injury resilience.

5. Objective rehab monitoring and return‑to‑sport decisions

For individuals recovering from surgery, injury, or neurological events, gait analysis offers objective metrics to track progress.

• Clinicians can compare pre‑ and post‑intervention gait parameters to see whether symmetry, loading, and stability are improving.

• This data supports decisions about when it is safe to progress running volume, introduce higher‑impact drills, or return to sport.

Gait analysis is widely used in managing conditions like arthritis, tendon issues, and gait changes after stroke or in Parkinson’s disease, helping tailor rehab plans to each patient’s movement profile.

6. Enhanced client engagement and education

Seeing your own movement on screen through gait analysis is a powerful motivator. For trainers and clinicians, it acts as a visual coaching tool.

• Clients can clearly see knee collapse, overstriding, or asymmetry, making coaching cues more meaningful.

• Progress videos or reports provide tangible proof that training is working, supporting adherence and long‑term engagement.