A Review on Human Gait Detection

Pavithra D S; Shrishail Math

A Review on Human Gait Detection

Pavithra D S * §

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Shrishail Math

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§ Visvesvaraya Technological University

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CST1CDG2

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Abstract

The human gait is the identification of human locomotive based on limbs position or action. The tracking of human gait can help in various applications like normal and abnormal gait, fall detection, gender detection, age detection, biometrics and in some terrorist and criminal activity detection. The present work carried out is a review of various methodologies employed in human gait detection. The analysis describes that the different feature extraction and machine learning techniques to be adopted for the identification of human gait based on the purpose of the application.

References

7 Cites in Article

Reference Format

Kalyan Sasidhar,Satyam Satyajeet (2017). iKnow how you walk — A smartphone based personalized gait diagnosing system.
B Daga,A Ghatol,V Thakare (2017). Silhouette Based Human Fall Detection Using Multimodal Classifiers For Content Based Video Retrieval Systems.
Hoang Le,Uyen Thuc,Pham Van Tuan,Jenq-Neng Hwang (2017). An Effective Video-based Model for Fall Monitoring of the Elderly.
Zijuan Liu,Lin Wang,Wenyuan Liu,Binbin Li (2016). Human Movement Detection and Gait Periodicity Analysis Using Channel State Information.
Mohammed Hussein,Ahmed,Azhin Tahir Sabir (2017). Human Gender Classification based on Gait Features using Kinect Sensor.
O Ait,Larbi Lishani,Emad Boubchir,Ahmed Khalifa,Bouridane (2016). Gabor Filter Bank-based GEI Features for Human Gait Recognition.
Y Guan,R Zhu,J Feng,K Du,X Zhang (2016). Research on Algorithm of Human Gait Recognition Based on Sparse Representation.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Pavithra D S, Shrishail Math. 2019. "A Review on Human Gait Detection". Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 19 (GJCST Volume 19 Issue G1).

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GJCST Volume 19 Issue G1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-G Classification I.2.6

Submission ReceivedDecember 15, 2018
Peer Review Double Blind
Handling Editor
Accepted January 1, 2019
Published January 15, 2019

Version of record

v1.2

Issue date

May 7, 2019

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Pavithra D S, Shrishail Math (PhD/Dr. count: 0)

View Count (all-time): 439

Total Views (Real + Logic): 1833

Total Downloads (simulated): 156

Publish Date: 2019 01, Tue

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Total Views: 1.8K

Total Downloads: 156

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