A Review on Human Gait Detection

1
Pavithra D S
Pavithra D S
2
Shrishail Math
Shrishail Math
1 Visvesvaraya Technological University

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A Review on Human Gait Detection Banner
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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.

7 Cites in Articles

References

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

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.

Pavithra D S. 2019. \u201cA Review on Human Gait Detection\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 19 (GJCST Volume 19 Issue G1): .

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Issue Cover
GJCST Volume 19 Issue G1
Pg. 27- 34
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-G Classification: I.2.6
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v1.2

Issue date

May 7, 2019

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English

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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.

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A Review on Human Gait Detection

Pavithra D S
Pavithra D S Visvesvaraya Technological University
Shrishail Math
Shrishail Math

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