Research Publications

A research archive for the movement engine.

Surfaced academic papers and a granted patent spanning gait recognition, computer vision, biometrics, pose estimation, machine learning and privacy-preserving movement analysis — with journal references from Springer, Elsevier and Wiley · IET.

Copyright and patent rights remain with their respective rights holders. Inclusion does not imply GaitAI authorship, ownership or product-specific validation. Research relevance is set out on the research evidence map.

9
Research outputs
8
Surfaced academic papers
1
Granted patent
2022–2024
Years
View
9 research outputs

Latest research

2024

Advancements in Artificial Intelligence for Biometrics: A Deep Dive into Model-based Gait Recognition Techniques

Engineering Applications of Artificial Intelligence
ElsevierJournal article
Machine LearningGait RecognitionBiometrics
2024

Journey into Gait Biometrics: Integrating Deep Learning for Enhanced Pattern Recognition

Digital Signal Processing
ElsevierJournal article
Gait RecognitionBiometricsDeep Learning
January 2023

Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review

Artificial Intelligence Review
SpringerReview
Gait RecognitionBiometricsDeep Learning

All research outputs

2023

Data Preprocessing and Feature Selection Techniques in Gait Recognition: A Comparative Study of Machine Learning and Deep Learning Approaches

Pattern Recognition Letters
ElsevierComparative study
Gait RecognitionMachine LearningDeep Learning
2023

Comparative Study of Machine Learning and Deep Learning Techniques for Gait Recognition: Advances in Feature Extraction, Reduction, Transformation, and Classification

Image and Vision Computing
ElsevierManuscript · publisher unverified
Gait RecognitionMachine LearningDeep Learning
October 2022

A robust covariate-invariant gait recognition based on pose features

IET Biometrics
Wiley · IETJournal article
BiometricsGait RecognitionDeep Learning
July 2022

A Covariate-Based Gait Recognition System and Method for Edge Analytics Using Optimized Deep Learning Pipeline

Patent — Government of India
Government of India · IP IndiaGranted patent
Gait RecognitionDeep LearningBiometrics
July 2022

Intra-class variations with deep learning-based gait analysis: A comprehensive survey of covariates and methods

Neurocomputing
ElsevierSurvey
Gait RecognitionBiometricsDeep Learning
July 2022

Protection of gait data set for preserving its privacy in deep learning pipeline

IET Biometrics
Wiley · IETJournal article
PrivacyGait RecognitionDeep Learning
Featured · Granted patent

A granted Indian patent on the edge gait pipeline.

An academic patent reference covering covariate-based gait recognition for edge analytics. Rights remain with the registered rights holders; consult the official registry for the specification and legal status.

Patent reference · 2022

A Covariate-Based Gait Recognition System and Method for Edge Analytics Using Optimized Deep Learning Pipeline

Patent — Government of India · Government of India · IP India

Gait Recognition · Deep Learning · Biometrics

Govt. of India
Granted Patent · IP India

A Covariate-Based Gait Recognition System and Method for Edge Analytics Using Optimized Deep Learning Pipeline

Patent number
402202
Application number
202111034240
Date of filing
29 July 2021
Date of grant
27 July 2022
Valid 20 years from 29 July 2021
Patents Act, 1970
Research · Collaborate

Want to collaborate on a paper, pilot or research programme?

Research collaboration