Welcome to the InfoSci Platform

Reference Hub

This research has been cited in:

Conference
Human Identification Using a Smartphone Motion Sensor and Gait AnalysisProceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3529190.3529199
Conference
GaitMorph: Transforming Gait by Optimally Transporting Discrete Codes2023 IEEE International Joint Conference on Biometrics (IJCB)10.1109/IJCB57857.2023.10449102

Survey of Human Gait Analysis and Recognition for Medical and Forensic Applications

Shantanu Jana, Nibaran Das, Subhadip Basu, Mita Nasipuri

Source Title: International Journal of Digital Crime and Forensics (IJDCF)13(6)

ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781799867531|DOI: 10.4018/IJDCF.289432

Cite Article Cite Article

MLA

Jana, Shantanu, et al. "Survey of Human Gait Analysis and Recognition for Medical and Forensic Applications." IJDCF vol.13, no.6 2021: pp.1-20. http://doi.org/10.4018/IJDCF.289432

APA

Jana, S., Das, N., Basu, S., & Nasipuri, M. (2021). Survey of Human Gait Analysis and Recognition for Medical and Forensic Applications. International Journal of Digital Crime and Forensics (IJDCF), 13(6), 1-20. http://doi.org/10.4018/IJDCF.289432

Chicago

Jana, Shantanu, et al. "Survey of Human Gait Analysis and Recognition for Medical and Forensic Applications," International Journal of Digital Crime and Forensics (IJDCF) 13, no.6: 1-20. http://doi.org/10.4018/IJDCF.289432

Export Reference

Favorite Full-Issue Download

View Full Text HTML

View Full Text PDF

Abstract

Gait is a behavioural biometric which sometimes changes due to diseases but it is still a strong identification metric that is widely used in forensic works, state biometric preserve sectors, and medical laboratories. Gait analysis sometimes helps to identify person’s present mental state which reflects on physiological therapy for improved biological system. There are various gait measurement forms which expand the research area from crime detection to medical enhancement. Many research works have been done so far for gait recognition. Many researchers focused on skeleton image of people to extract gait features and many worked on stride length. Various sensors have been used to detect gait in various light forms. This paper is a brief survey of works on gait recognition, collected from various sources of science and technology literature. We have discussed few efficient models that worked best as well as we have discussed about few data sets available.