International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 3 May-June 2024 Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

Human Gait Recognition using Machine Learning Teachnolgies for Inclusive Innovation

Author(s) Sk Aspak Ali, Anand Singh, Gona Sai Charan, Sai Kalyan Tirumalasetty, Dr. Dhiraj kapila
Country India
Abstract Gait recognition, or the ability to identify people based on how they walk, is used in a variety of contexts, including human computer interaction, security checks, and health monitoring. Due to Out of touch and uncooperative individuals, gait-based human recognition is an emerging behavioural biometric feature for intelligent surveillance monitoring. In video surveillance, gait recognition can be
used to detect objects at a distance and assist in low-resolution object identification. Recent years have seen an explosion in the study of gait analysis for a wide range of uses, such as animation, video surveillance, health monitoring, and authentication. A sophisticated new technology called gait recognition can identify persons Shoot from a distance and perform well on movies with no resolution. This document provides various walkthroughs written in the form of examples and free samples. Four main processes make up the survey of gait detection algorithms covered in this study: feature extraction,
classification, preprocessing, and data collection. The descriptions of the pathology database, Vision base, and wearable sensor are compiled.
In recent years, deep architectures have made great progress in improving human recognition performance. This article provides an up-to-date overview of deep architectures for gait recognition, highlighting the use of convolutional neural networks along with other architectures. Furthermore, the overall problems of gait recognition are examined together with potential directions for future research.
Keywords Gait recognition; Machine learning; Human motion analysis; Computer Vision
Field Engineering
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-24
Cite This Human Gait Recognition using Machine Learning Teachnolgies for Inclusive Innovation - Sk Aspak Ali, Anand Singh, Gona Sai Charan, Sai Kalyan Tirumalasetty, Dr. Dhiraj kapila - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.21100
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.21100
Short DOI https://doi.org/gtwmp7

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