# Gait Recognition and Analysis

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/gait-recognition-and-analysis/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on gait recognition for human identification, utilizing techniques such as silhouette analysis, deep learning, and inertial sensors. It explores cross-view recognition and the use of wearable devices for biometric authentication, with applications in forensic biometrics. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t12740 |
| Works | 75 |

## Topic papers all

Showing 15 of 75.

- [Gait variability: methods, modeling and meaning](https://scholariq.org/papers/gait-variability-methods-modeling-and-meaning/)
- [Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes](https://scholariq.org/papers/spatio-temporal-parameters-of-gait-measured-by-an-ambulatory-system-using/)
- [Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information](https://scholariq.org/papers/accurate-fast-fall-detection-using-gyroscopes-and-accelerometer-derived-posture/)
- [Human movement analysis using stereophotogrammetry](https://scholariq.org/papers/human-movement-analysis-using-stereophotogrammetry-3/)
- [MotionBERT: A Unified Perspective on Learning Human Motion Representations](https://scholariq.org/papers/motionbert-a-unified-perspective-on-learning-human-motion-representations/)
- [Learning Clip Representations for Skeleton-Based 3D Action Recognition](https://scholariq.org/papers/learning-clip-representations-for-skeleton-based-3d-action-recognition/)
- [Present and future of gait assessment in clinical practice: Towards the application of novel trends and technologies](https://scholariq.org/papers/present-and-future-of-gait-assessment-in-clinical-practice-towards-the/)
- [Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study](https://scholariq.org/papers/evaluation-of-the-pose-tracking-performance-of-the-azure-kinect-and-kinect-v2/)
- [Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification](https://scholariq.org/papers/where-and-when-to-look-deep-siamese-attention-networks-for-video-based-person-re/)
- [Estimation of step-by-step spatio-temporal parameters of normal and impaired gait using shank-mounted magneto-inertial sensors: application to elderly, hemiparetic, parkinsonian and choreic gait](https://scholariq.org/papers/estimation-of-step-by-step-spatio-temporal-parameters-of-normal-and-impaired/)
- [Is every-day walking in older adults more analogous to dual-task walking or to usual walking? Elucidating the gaps between gait performance in the lab and during 24/7 monitoring](https://scholariq.org/papers/is-every-day-walking-in-older-adults-more-analogous-to-dual-task-walking-or-to/)
- [Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation](https://scholariq.org/papers/markerless-motion-capture-through-visual-hull-articulated-icp-and-subject/)
- [Robust Estimation of 3D Human Poses from a Single Image](https://scholariq.org/papers/robust-estimation-of-3d-human-poses-from-a-single-image/)
- [Towards Miniaturization of a MEMS-Based Wearable Motion Capture System](https://scholariq.org/papers/towards-miniaturization-of-a-mems-based-wearable-motion-capture-system/)
- [First Person Action Recognition Using Deep Learned Descriptors](https://scholariq.org/papers/first-person-action-recognition-using-deep-learned-descriptors/)

## Topic primary papers

- [Gait variability: methods, modeling and meaning](https://scholariq.org/papers/gait-variability-methods-modeling-and-meaning/)
- [3D Tracking of Human Motion Using Visual Skeletonization and Stereoscopic Vision](https://scholariq.org/papers/3d-tracking-of-human-motion-using-visual-skeletonization-and-stereoscopic-vision/)
- [The detection of age groups by dynamic gait outcomes using machine learning approaches](https://scholariq.org/papers/the-detection-of-age-groups-by-dynamic-gait-outcomes-using-machine-learning/)
- [A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts](https://scholariq.org/papers/a-deep-learning-approach-for-gait-event-detection-from-a-single-shank-worn-imu/)
- [A Novel Gait Pattern Recognition Method Based on LSTM-CNN for Lower Limb Exoskeleton](https://scholariq.org/papers/a-novel-gait-pattern-recognition-method-based-on-lstm-cnn-for-lower-limb/)
- [3D Pose tracking of walker users' lower limb with a structured-light camera on a moving platform](https://scholariq.org/papers/3d-pose-tracking-of-walker-users-lower-limb-with-a-structured-light-camera-on-a/)
- [Human Gait Recognition using Deep Convolutional Neural Network](https://scholariq.org/papers/human-gait-recognition-using-deep-convolutional-neural-network/)
- [Chasing Feet in the Wild: A Proposed Egocentric Motion-Aware Gait Assessment Tool](https://scholariq.org/papers/chasing-feet-in-the-wild-a-proposed-egocentric-motion-aware-gait-assessment-tool/)
- [A Method for the Long-Term Gait Assessment Utilizing Accelerometers and Gyroscopes.](https://scholariq.org/papers/a-method-for-the-long-term-gait-assessment-utilizing-accelerometers-and/)
- [Personal identification method using footsteps](https://scholariq.org/papers/personal-identification-method-using-footsteps/)
- [A Computational Approach to Identify Normal and Abnormal Persons Gait Using Various Machine Learning and Deep Learning Classifier](https://scholariq.org/papers/a-computational-approach-to-identify-normal-and-abnormal-persons-gait-using/)
- [Evaluating Gait Symmetry with a Smart Robotic Walker: A Novel Approach to Mobility Assessment](https://scholariq.org/papers/evaluating-gait-symmetry-with-a-smart-robotic-walker-a-novel-approach-to/)
- [An improved model for contactless gait recognition](https://scholariq.org/papers/an-improved-model-for-contactless-gait-recognition/)
- [Continuous human pose estimation by machine learning and computer vision](https://scholariq.org/papers/continuous-human-pose-estimation-by-machine-learning-and-computer-vision/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.