The TUM Gait from Audio, Image and Depth (GAID) database: Multimodal recognition of subjects and traits

Histograms of Oriented Gradients for Human Detection

Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584

The WEKA data mining software: an update

Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1656274.1656278 · Cited by 17,750

The random subspace method for constructing decision forests

Ho, T. K. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.709601 · Cited by 7,005

Adaptive background mixture models for real-time tracking

Stauffer, C., & Grimson, W. E. L. (2003) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1999.784637 · Cited by 6,925

Region Filling and Object Removal by Exemplar-Based Image Inpainting

Criminisi, A., Perez, P., & Toyama, K. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2004.833105 · Cited by 3,258 · cited 1×

Opensmile: the munich versatile and fast open-source audio feature extractor

Eyben, F., Wöllmer, M., & Schuller, B. (2010) · Proceedings of the 18th ACM international conference on Multimedia · doi:10.1145/1873951.1874246 · Cited by 2,642

Individual recognition using gait energy image

Han, J., & Bhanu, B. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.38 · Cited by 1,873

General Tensor Discriminant Analysis and Gabor Features for Gait Recognition

Tao, D., Li, X., Wu, X., & Maybank, S. J. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1096 · Cited by 1,140

The humanID gait challenge problem: data sets, performance, and analysis

Sarkar, S., Phillips, P. J., Liu, Z., Vega, I. R., Grother, P., & Bowyer, K. W. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.39 · Cited by 1,133

A Framework for Evaluating the Effect of View Angle, Clothing and Carrying Condition on Gait Recognition

Yu, S., Tan, D., & Tan, T. (2006) · 18th International Conference on Pattern Recognition (ICPR'06) · doi:10.1109/icpr.2006.67 · Cited by 1,056

Human identification by gait from event-based camera

Sokolova, A., & Konushin, A. (2019) · Machine Vision Applications · doi:10.23919/mva.2019.8758019 · Cited by 15

An Efficient Descriptor for Gait Recognition Using Spatio-Temporal Cues

Gupta, S. K., Sultaniya, G. M., & Chattopadhyay, P. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-981-13-7403-6_10 · Cited by 15

Gait Attribute Recognition: A New Benchmark for Learning Richer Attributes From Human Gait Patterns

Xu, S., Hou, S., Huang, Y., Cao, C., Liu, X., Huang, Y., & Shan, C. (2023) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2023.3318934 · Cited by 14

A comprehensive review of gait analysis using deep learning approaches in criminal investigation

Aung, S. T. Y., & Kusakunniran, W. (2024) · PeerJ Computer Science · doi:10.7717/peerj-cs.2456 · Cited by 14

Individual identification using a gait dynamics graph

Deng, M., Wang, C., & Zheng, T. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2018.06.002 · Cited by 14

Benchmark RGB-D Gait Datasets: A Systematic Review

Nunes, J. F., Moreira, P. M., & Tavares, J. M. R. S. (2019) · Lecture notes in computational vision and biomechanics · doi:10.1007/978-3-030-32040-9_38 · Cited by 14

Review of gait recognition approaches and their challenges on view changes

Kusakunniran, W. (2020) · IET Biometrics · doi:10.1049/iet-bmt.2020.0103 · Cited by 14

Reliability and validity analysis of personality assessment model based on gait video

Wen, Y., Li, B., Chen, D., & Zhu, T. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.901568 · Cited by 15

Trait of Gait: A Survey on Gait BiometricsPreprint

Isaac, E. R. H. P., Elias, S., Rajagopalan, S., & Easwarakumar, K. S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1903.10744 · Cited by 14

Advanced acoustic footstep-based person identification dataset and method using multimodal feature fusion

Wu, S., Zhai, X., Hu, Z., Sun, Y., & Liu, J. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2023.110331 · Cited by 13

A survey on gait recognition against occlusion: taxonomy, dataset and methodology

Li, T., Ma, W., Zheng, Y., Fan, X., Yang, G., Wang, L., & Li, Z. (2024) · PeerJ Computer Science · doi:10.7717/peerj-cs.2602 · Cited by 16

Profile Recognition for Accessibility and Inclusivity in Smart Cities Using a Thermal Imaging Sensor in an Embedded System

Baghezza, R., Bouchard, K., Bouzouane, A., & Gouin-Vallerand, C. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3127137 · Cited by 13

Multiview Gait Recognition on Unconstrained Path Using Graph Convolutional Neural Network

Shopon, M., Hsu, G.-S. J., & Gavrilova, M. L. (2022) · IEEE Access · doi:10.1109/access.2022.3176873 · Cited by 13

Real-time full-body human attribute classification in RGB-D using a tessellation boosting approach

Linder, T., & Arras, K. O. (2015) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2015.7353541 · Cited by 13

VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated ScenariosPreprint

Dou, H., Zhang, W., Zhang, P., Zhao, Y., Li, S., Qin, Z., Wu, F., Dong, L., & Li, X. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2101.01394 · Cited by 13

Toward smart aquaculture: A review of multimodal methods, datasets, and applications from the modality perspective

Zhang, Q., Wang, S., Zhang, T., Ren, G., Zhang, L., Wang, Y., Zheng, B., Li, J., & Zheng, H. (2025) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2025.111227 · Cited by 19

Exploiting pose dynamics for human recognition from their gait signatures

Gupta, S. K., & Chattopadhyay, P. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-10071-9 · Cited by 12

A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation and Comparison Study

Zhang, P., Dou, H., Zhang, W., Zhao, Y., Qin, Z., Hu, D., Fang, Y., & Li, X. (2022) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3517199 · Cited by 12

Empirical study of human pose representations for gait recognition

Cubero, N., Castro, F. M., Cózar, J. R., Guil, N., & Marín-Jiménez, M. J. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.126946 · Cited by 11

Automated Timed Up & Go Test for functional decline assessment of older adults

Kampel, M., Doppelbauer, S., & Planinc, R. (2018) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.1145/3240925.3240960 · Cited by 11

Long-Term Person Re-Identification Based on Appearance and Gait Feature Fusion under Covariate Changes

Lu, X., Li, X., Sheng, W., & Ge, S. S. (2022) · Processes · doi:10.3390/pr10040770 · Cited by 11

Robust and Lightweight System for Gait-Based Gender Classification toward Viewing Angle Variations

Upadhyay, J., & Gonsalves, T. (2022) · AI · doi:10.3390/ai3020031 · Cited by 11

Person Recognition via Gait: A Review of Covariate Impact and Challenges

Mughal, A. B., Khan, R., Bermak, A., & Rehman, A. U. (2025) · Sensors · doi:10.3390/s25113471 · Cited by 10

The Shakespeare experiment: Preliminary results for the recognition of a person based on the sound of walking

Bours, P., & Evensen, A. (2017) · IEEE International Carnahan Conference on Security Technology (ICCST) · doi:10.1109/ccst.2017.8167839 · Cited by 10

MuPeG—The Multiple Person Gait Framework

Delgado-Escaño, R., Castro, F. M., Cózar, J. R., Marín-Jiménez, M. J., & Guil, N. (2020) · Sensors · doi:10.3390/s20051358 · Cited by 10

Reduction of covariate factors from Silhouette image for robust gait recognition

Gupta, S. K. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-10941-w · Cited by 10

GAIT3: An Event-based, Visible and Thermal Database for Gait Recognition

Eddine, M. J., & Dugelay, J. (2022) · International Conference of the Biometrics Special Interest Group (BIOSIG) · doi:10.1109/biosig55365.2022.9897039 · Cited by 9

Human Motion Segmentation Using Active Shape Models

Vasconcelos, M. J. M., & Tavares, J. M. R. S. (2015) · Lecture notes in computational vision and biomechanics · doi:10.1007/978-3-319-15799-3_18 · Cited by 8

Acoustic Based Footstep Detection in Pervasive Healthcare

Summoogum, K., Das., D., Dasgupta, S., McLoughlin, I. V., Efstratiou., C., & Palaniappan, R. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9630125 · Cited by 8

Gait recognition methods in the task of biometric human identification

Purish, S. V., & Lobachev, M. V. (2023) · Herald of Advanced Information Technology · doi:10.15276/hait.06.2023.1 · Cited by 11

PsyMo: A Dataset for Estimating Self-Reported Psychological Traits from Gait

Cosma, A., & Rǎdoi, E. (2024) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv57701.2024.00454 · Cited by 8

Scattering features for multimodal gait recognition

Kitić, S., Puy, G., Pérez, P., & Gilberton, P. (2017) · IEEE Global Conference on Signal and Information Processing · doi:10.1109/globalsip.2017.8309079 · Cited by 8

Gait Recognition and Its Applications to Forensics

Makihara, Y., Muramatsu, D., & Yagi, Y. (2021) · IEICE ESS FUNDAMENTALS REVIEW · doi:10.1587/essfr.14.4_318 · Cited by 8

Multi‐feature gait analysis approach using deep learning in constraint‐free environment

Sethi, D., Prakash, C., & Bharti, S. (2023) · Expert Systems · doi:10.1111/exsy.13274 · Cited by 8

Methods of gait recognition in video

Sokolova, A. I., & Konushin, A. S. (2019) · Proceedings of the Institute for System Programming of RAS · doi:10.15514/ispras-2019-31(1)-5 · Cited by 8

Multimodal gait analysis based on wearable inertial and microphone sensors

Wang, C., Wang, X., Long, Z., Yuan, J., Qian, Y., & Li, J. (2017) · 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) · doi:10.1109/uic-atc.2017.8397481 · Cited by 7

Gait transformation network for gait de-identification with pose preservation

Halder, A., Chattopadhyay, P., & M, S. K. T. (2022) · Signal Image and Video Processing · doi:10.1007/s11760-022-02386-x · Cited by 7

High performance inference of gait recognition models on embedded systems

Ruiz-Barroso, P., Castro, F. M., Delgado-Escaño, R., Cózar, J. R., & Guil, N. (2022) · Sustainable Computing Informatics and Systems · doi:10.1016/j.suscom.2022.100814 · Cited by 7

Multimodal Gait Recognition Under Missing Modalities

Delgado-Escaño, R., Castro, F. M., Guil, N., Kalogeiton, V. S., & Marín-Jiménez, M. J. (2021) · Proceedings - International Conference on Image Processing · doi:10.1109/icip42928.2021.9506162 · Cited by 7

Gait Recognition

Sun, J., Wang, Y., & Li, J. (2017) · InTech eBooks · doi:10.5772/68119 · Cited by 7

Empirical Study of Audio-Visual Features Fusion for Gait Recognition

Castro, F. M., Marín-Jiménez, M. J., & Guil, N. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-23192-1_61 · Cited by 7

Real-time multiple people gait recognition in the edge

Ruiz-Barroso, P., González-Linares, J. M., Castro, F. M., & Guil, N. (2025) · Scientific Reports · doi:10.1038/s41598-025-02351-x · Cited by 6

MLDT: Multi-task Learning with Denoising Transformer for Gait Identity and Emotion Recognition

Sheng, W., Lu, X., & Li, X. (2021) · Artificial Intelligence and Cloud Computing Conference (AICCC) · doi:10.1145/3508259.3508266 · Cited by 6

A Dataset and Method for Gait Recognition with Unmanned Aerial Vehicless

Ding, T., Zhao, Q., Liu, F., Zhang, H., & Peng, P. (2022) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme52920.2022.9859840 · Cited by 6

A Brief Survey on Person Recognition at a Distance

Nalty, C. B., Peri, N., Gleason, J., Castillo, C. D., Hu, S., Bourlai, T., & Chellappa, R. (2022) · Asilomar Conference on Signals, Systems and Computers (ACSSC) · doi:10.1109/ieeeconf56349.2022.10051819 · Cited by 6

Journey into gait biometrics: Integrating deep learning for enhanced pattern recognition

Parashar, A., Parashar, A., & Rida, I. (2024) · Digital Signal Processing · doi:10.1016/j.dsp.2024.104393 · Cited by 9

A Multi-Stage Adaptive Feature Fusion Neural Network for Multimodal Gait Recognition

Zou, S., Xiong, J., Fan, C., Yu, S., & Tang, J. (2023) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb57857.2023.10449290 · Cited by 6

Human gait feature extraction method

Sivolobov, S. (2021) · Procedia Computer Science · doi:10.1016/j.procs.2021.10.022 · Cited by 6

GaitCopy: Disentangling Appearance for Gait Recognition by Signature Copy

Delgado-Escaño, R., Castro, F. M., Guil, N., & Marín-Jiménez, M. J. (2021) · IEEE Access · doi:10.1109/access.2021.3134705 · Cited by 6

From indoor to outdoor: Unsupervised domain adaptive gait recognition

Wang, L., Feng, W., Han, R., Zhang, X., Wei, Y., & Wang, S. (2025) · Pattern Recognition · doi:10.1016/j.patcog.2025.112159 · Cited by 5

A Review of Deep Learning Approaches for Human Gait Recognition

Pundir, A., & Sharma, M. (2023) · International Conference for Innovation in Technology (INOCON) · doi:10.1109/inocon57975.2023.10101267 · Cited by 5

Towards Robust Gait Recognition

Whytock, T. P., Belyaev, A. G., & Robertson, N. M. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-41939-3_51 · Cited by 5

Human Recognition by Appearance and Gait

Arseev, S., Konushin, A., & Liutov, V. (2018) · Programming and Computer Software · doi:10.1134/s0361768818040035 · Cited by 5

Deep Convolutional Feature-based Gait Recognition Using Silhouettes and RGB Images

IŞIK, S. G., & Ekenel, H. K. (2021) · doi:10.1109/ubmk52708.2021.9559026 · Cited by 5

Recognizing the Age, Gender, and Mobility of Pedestrians in Smart Cities using a CNN-BGRU on Thermal Images

Baghezza, R., Bouchard, K., & Gouin-Vallerand, C. (2022) · International Conference on Information Technology for Social Good (GoodIT) · doi:10.1145/3524458.3547235 · Cited by 5

Methods of Gait Recognition in Video

Sokolova, A. D., & Konushin, A. (2019) · Programming and Computer Software · doi:10.1134/s0361768819040091 · Cited by 5

Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors.Preprint

Karianakis, N., Liu, Z., Chen, Y., & Soatto, S. (2017) · arXiv (Cornell University) · Cited by 5

Different gait combinations based on multi-modal deep CNN architectures

Yaprak, B., & Gedikli, E. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-18859-9 · Cited by 4

Spatiotemporal Semantic Modeling and Cross-Modal Collaboration-Based Gait Recognition Under Multiple Views and Various Walking Conditions

Duan, Q., Xu, M., Liu, J., & Peng, Y. (2025) · IEEE Access · doi:10.1109/access.2025.3599550 · Cited by 4

DFSC-DA: Dominant frequency segmented conformer with domain adaptation for acoustic footstep-based person identification

Wu, S., Guang, J., Wu, W., & Chen, G. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.128827 · Cited by 4

3D Visual-Based Human Motion Descriptors: A Review

Николаевна, Х. М., Migniot, C., & Dipandà, A. (2016) · International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) · doi:10.1109/sitis.2016.95 · Cited by 4

Joint intensity transformer network for gait recognition robust against clothing and carrying status

Khan, M. A., Fathima, S. M. H. S. S., Stepnila, B. A., & Ali, A. (2020) · Materials Today Proceedings · doi:10.1016/j.matpr.2020.03.168 · Cited by 4

A Novel Multimodal Biometrics System with Fingerprint and Gait Recognition Traits Using Contourlet Derivative Weighted Rank Fusion

Vinothkanna, R., & Sasikumar, P. K. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-37218-7_101 · Cited by 4

DepthGait: Multi-Scale Cross-Level Feature Fusion of RGB-Derived Depth and Silhouette Sequences for Robust Gait Recognition

Li, X., Zheng, J., Chen, Y., Mao, X., Yue, G., Zhou, W., Lv, C., Wang, R., Zhou, F., & Zhao, B. (2025) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3746027.3755876 · Cited by 3

Pose-based boundary energy image for gait recognition from silhouette contours

Gupta, S. K., & Chattopadhyay, P. (2023) · Sadhana · doi:10.1007/s12046-023-02234-9 · Cited by 3

Depth-based Gait Authentication for Practical Sensor Settings

Ikeda, T., Mitsugami, I., & Yagi, Y. (2015) · IPSJ Transactions on Computer Vision and Applications · doi:10.2197/ipsjtcva.7.94 · Cited by 3

Multimodal user state and trait recognition: an overview

Schuller, B. W. (2018) · ACM eBooks · doi:10.1145/3107990.3107997 · Cited by 3

Fingerprinting walking using wrist-worn accelerometers

Koffman, L. J., Zhang, Y., Harezlak, J., Crainiceanu, C. M., & Leroux, A. (2023) · Gait & Posture · doi:10.1016/j.gaitpost.2023.05.001 · Cited by 3

DisGait: A Prior Work of Gait Recognition Concerning Disguised Appearance and Pose

Huang, S., Fan, R., & Wu, S. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-4742-3_34 · Cited by 3

Distillation-guided Representation Learning for Unconstrained Gait Recognition

Guo, Y., Huang, S., Kathirvel, R. P., Lau, C. P., Chellappa, R., & Peng, C. (2024) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb62174.2024.10744527 · Cited by 3

Partial silhouette-based gait recognition

Shaikh, S. H., Saeed, K., & Chaki, N. (2017) · International Journal of Biometrics · doi:10.1504/ijbm.2017.084130 · Cited by 3

Applying a Deep Learning Neural Network to Gait-Based Pedestrian Automatic Detection and Recognition

Lin, C.-L., Fan, K., Lai, C.-R., Cheng, H.-Y., Chen, T.-P., & Hung, C. (2022) · Applied Sciences · doi:10.3390/app12094326 · Cited by 3

OUMVLP-OF: Multi-View Large Population Gait Database With Dense Optical Flow and Its Performance Evaluation

Shehata, A., Castro, F. M., Guil, N., Marín-Jiménez, M. J., & Yagi, Y. (2025) · IEEE Access · doi:10.1109/access.2025.3570280 · Cited by 2

Multimodal Fusion of Face and Gait for Person Identification in Automotive Applications

Boscolo, F., Lamberti, F., Montuschi, P., & Testa, M. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3631488 · Cited by 2

Enabling Passive Gait Identification in Realistic and Uncontrolled Environments Using Deep Learning and Spatiotemporal Biometrics

Topham, L., Khan, W., Al‐Jumeily, D., Kolivand, H., Aldhaibani, O. A., & Hussain, A. J. (2026) · International Journal of Intelligent Systems · doi:10.1155/int/9024180 · Cited by 2

Kinect-Based Human Gait Recognition Using Locally Linear Embedded and Support Vector Machine

Universiti Teknologi MARA (UiTM), S. A., Tahir, N. M., Sahak, R., Yassin, A. I. M., & Kamaruzaman, F. H. (2018) · Jurnal Kejuruteraan · doi:10.17576/jkukm-2018-30(2)-14 · Cited by 2

Systematic Literature Review: Human Gait Cycle Model Using Image-Temporal Feature

Jamal, I. H., Izhar, C. A. A., Fauzilan, A. S., Maruzuki, M. I. F., Hussain, Z., & Rahman, M. F. A. (2021) · IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE) · doi:10.1109/icraie52900.2021.9703989 · Cited by 2

Accurate Extraction of Human Gait Patterns Using Motion Interpolation

Favorskaya, M. N., & Gusev, K. A. (2022) · Smart innovation, systems and technologies · doi:10.1007/978-981-19-3444-5_18 · Cited by 2

A comprehensive survey on deep-learning based gait recognition for humans in the COVID-19 pandemic

Sayeed, M. S., Yusof, I., Abdullah, M. F. A., Bari, M. A., & Min, P. P. (2023) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v30.i2.pp882-902 · Cited by 2

A Gait Triaging Toolkit for Overlapping Acoustic Events in Indoor Home Environments

Summoogum, K., Das, D., Jayakumar, P., & Essop, I. (2024) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc53108.2024.10782237 · Cited by 2

Feature extraction for person gait recognition applications

Ramakić, A., Bundalo, Z., & Vidović, Ž. (2021) · Facta universitatis - series Electronics and Energetics · doi:10.2298/fuee2104557r · Cited by 2

Geometrically Consistent Pedestrian Trajectory Extraction for Gait Recognition

Makihara, Y., Ogi, G., & Yagi, Y. (2018) · IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) · doi:10.1109/btas.2018.8698559 · Cited by 2

Speed Invariant Human Gait Authentication Based on CNN

Ambika, K. S. B., & Radhika, K. R. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-84760-9_68 · Cited by 2

Person Identity and Gender Estimation Using Gait Biometrics: A Review

Gahalout, A., & Vishwakarma, D. K. (2022) · Studies in computational intelligence · doi:10.1007/978-3-030-96634-8_36 · Cited by 2

Gait Recognition with Various Data Modalities: A Review

Li, W., Song, J., Liu, Y. Z., Zhong, C., Li, G., & Wang, W. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-20233-9_42 · Cited by 2

Gait Recognition with 2D Pose Infomation Using a Surveillance Camera

Inoue, T., Chikano, M., Awai, S., & Konno, T. (2021) · IEEE Global Conference on Life Sciences and Technologies (LifeTech) · doi:10.1109/lifetech52111.2021.9391846 · Cited by 2

Deep Neural Network Gait Recognition in Habitoscopy Learning Process

Sivolobov, S. (2022) · International Conference on Technology Enhanced Learning in Higher Education (TELE) · doi:10.1109/tele55498.2022.9801064 · Cited by 2

Gait Recognition: Evaluation

Sarkar, S., Subramanian, R., & Liu, Z. (2014) · Encyclopedia of Biometrics · doi:10.1007/978-3-642-27733-7_39-3 · Cited by 2

Acoustic Gait-based Person Identification using Hidden Markov ModelsPreprint

Geiger, J. T., Kneißl, M., Schuller, B. W., & Rigoll, G. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1406.2895 · Cited by 2

Gait Recognition

Sarkar, S., Liu, Z., & Subramanian, R. (2021) · Springer eBooks · doi:10.1007/978-3-642-27739-9_741-2 · Cited by 2

An Enhanced Human Gait Recognition System using UALNN Classifier

Thomas, K. T., & Pushpalatha, K. P. (2024) · IETE Journal of Research · doi:10.1080/03772063.2024.2351563 · Cited by 1

GaitMirror: Design and Implementation of an Artificial Intelligence-Based Gait Recognition System for Evaluating the Effectiveness of Lower Limb Rehabilitation

Chen, M.-C., Su, J.-P., Wang, Y., & Chang, W. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2025.3577995 · Cited by 1

Distillation-Guided Representation Learning for Unconstrained Video Human Authentication

Guo, Y., Huang, S., Kathirvel, R. P., Lau, C. P., Chellappa, R., & Peng, C. (2025) · IEEE Transactions on Biometrics Behavior and Identity Science · doi:10.1109/tbiom.2025.3595366 · Cited by 1

Gait Period Detection Based on Layered Coding of Depth Information

Zhang, H. L., Ben, X. Y., Zhang, P., & Liu, T. J. (2014) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.644-650.1015 · Cited by 1

Advances in description of 3D human motion

Khokhlova, M., Migniot, C., & Dipandà, A. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6196-x · Cited by 1

Human Recognition Through Gait Audio

Arora, P. (2022) · 2022 8th International Conference on Signal Processing and Communication (ICSC) · doi:10.1109/icsc56524.2022.10009082 · Cited by 1

Digital twins for human-assistive robot teams in ambient assisted living

Chen, J., Clos, J., Price, D., & Caleb-Solly, P. (2023) · International Symposium on Trustworthy Autonomous Systems (TAS) · doi:10.1145/3597512.3597520 · Cited by 1

Recent Advancement in 3D Biometrics using Monocular Camera

Mukherjee, A., & Das, A. (2023) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb57857.2023.10448655 · Cited by 1

Towards Explainable Graph Embeddings for Gait Assessment Using Per-Cluster Dimensional Weighting

Lochhead, C., & Fisher, R. B. (2025) · Sensors · doi:10.3390/s25134106 · Cited by 1

Multimodal features fusion for gait, gender and shoes recognition

Castro, F. M., Marín-Jiménez, M. J., & Guil, N. (2016) · Machine Vision and Applications · doi:10.1007/s00138-016-0767-5 · Cited by 37

Empirical Study of Audio-Visual Features Fusion for Gait Recognition

Castro, F. M., Marín-Jiménez, M. J., & Guil, N. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-23192-1_61 · Cited by 7

MMGait: Benchmarking and Unifying Gait Recognition across Heterogeneous ModalitiesPreprint

Hou, S., Wang, C., Cai, Q., Li, A., & Huang, Y. (2026) · arXiv (Cornell University) · doi:10.48550/arxiv.2609.11601

Human Recognition under Multi-Gait Scenario

Singh, J. (. M. D. (n.d.) · Data Archiving and Networked Services (DANS) · doi:10.17632/py4zw6g7xc.1

Multimodal Biometric Database for Person Identification and Gait Analysis

Chetty, G. (2015) · International Conference on Intelligent Information Processing · Cited by 1