Learning Age From Gait: A Survey
Age is an important human attribute that needs to be determined for various purposes, including security, health, human identification, and law enforcement. Hence, there is an increasing research interest in automatic age estimation using biometric traits such as face and gait. In recent years, gait...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9477552/ |
| _version_ | 1819101112322490368 |
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| author | Timilehin B. Aderinola Tee Connie Thian Song Ong Wei-Chuen Yau Andrew Beng Jin Teoh |
| author_facet | Timilehin B. Aderinola Tee Connie Thian Song Ong Wei-Chuen Yau Andrew Beng Jin Teoh |
| author_sort | Timilehin B. Aderinola |
| collection | DOAJ |
| description | Age is an important human attribute that needs to be determined for various purposes, including security, health, human identification, and law enforcement. Hence, there is an increasing research interest in automatic age estimation using biometric traits such as face and gait. In recent years, gait analysis has received growing attention due to the pervasive nature of video surveillance. Gait signals that measure the manner of walking can be obtained using vision and sensor-based techniques. Individual gait patterns obtainable from videos, images, or sensors are shown unconsciously and are not easily obscured. Additionally, gait signals can be obtained unobtrusively with cameras placed at a long distance because gait does not require high-resolution images. However, the extraction of age-associated gait features is a challenging task due to various gait covariates. These covariates include clothing and view changes for vision-based gait; walking slope and footwear for sensor-based gait. This paper provides a survey of scientific literature on age estimation using gait features. We focus on the approaches to extracting age-associated gait features, namely, vision-based and sensor-based approaches, how they may be affected by the different covariates, and domain-specific applications. To make this work useful for as wide of an audience as possible, we also include discussions on key topics such as existing datasets, evaluation strategies, and open challenges that should be addressed in the future. |
| first_indexed | 2024-12-22T01:13:29Z |
| format | Article |
| id | doaj.art-90796dec575a492d8323f19552934ea1 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T01:13:29Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-90796dec575a492d8323f19552934ea12022-12-21T18:43:55ZengIEEEIEEE Access2169-35362021-01-01910035210036810.1109/ACCESS.2021.30954779477552Learning Age From Gait: A SurveyTimilehin B. Aderinola0https://orcid.org/0000-0002-4770-5871Tee Connie1Thian Song Ong2https://orcid.org/0000-0002-5867-9517Wei-Chuen Yau3https://orcid.org/0000-0003-4059-6358Andrew Beng Jin Teoh4https://orcid.org/0000-0001-5063-9484Faculty of Information Science and Technology, Multimedia University, Malacca, MalaysiaFaculty of Information Science and Technology, Multimedia University, Malacca, MalaysiaFaculty of Information Science and Technology, Multimedia University, Malacca, MalaysiaSchool of Electrical and Computer Engineering, Xiamen University Malaysia, Sepang, MalaysiaSchool of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul, South KoreaAge is an important human attribute that needs to be determined for various purposes, including security, health, human identification, and law enforcement. Hence, there is an increasing research interest in automatic age estimation using biometric traits such as face and gait. In recent years, gait analysis has received growing attention due to the pervasive nature of video surveillance. Gait signals that measure the manner of walking can be obtained using vision and sensor-based techniques. Individual gait patterns obtainable from videos, images, or sensors are shown unconsciously and are not easily obscured. Additionally, gait signals can be obtained unobtrusively with cameras placed at a long distance because gait does not require high-resolution images. However, the extraction of age-associated gait features is a challenging task due to various gait covariates. These covariates include clothing and view changes for vision-based gait; walking slope and footwear for sensor-based gait. This paper provides a survey of scientific literature on age estimation using gait features. We focus on the approaches to extracting age-associated gait features, namely, vision-based and sensor-based approaches, how they may be affected by the different covariates, and domain-specific applications. To make this work useful for as wide of an audience as possible, we also include discussions on key topics such as existing datasets, evaluation strategies, and open challenges that should be addressed in the future.https://ieeexplore.ieee.org/document/9477552/Age estimationage group classificationgaitgait agegait feature extraction |
| spellingShingle | Timilehin B. Aderinola Tee Connie Thian Song Ong Wei-Chuen Yau Andrew Beng Jin Teoh Learning Age From Gait: A Survey IEEE Access Age estimation age group classification gait gait age gait feature extraction |
| title | Learning Age From Gait: A Survey |
| title_full | Learning Age From Gait: A Survey |
| title_fullStr | Learning Age From Gait: A Survey |
| title_full_unstemmed | Learning Age From Gait: A Survey |
| title_short | Learning Age From Gait: A Survey |
| title_sort | learning age from gait a survey |
| topic | Age estimation age group classification gait gait age gait feature extraction |
| url | https://ieeexplore.ieee.org/document/9477552/ |
| work_keys_str_mv | AT timilehinbaderinola learningagefromgaitasurvey AT teeconnie learningagefromgaitasurvey AT thiansongong learningagefromgaitasurvey AT weichuenyau learningagefromgaitasurvey AT andrewbengjinteoh learningagefromgaitasurvey |