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Human Gait Recognition Based on Multiple Feature Combination and Parameter Optimization Algorithms

Farong Gao, Taixing Tian, Ting Yao, Qizhong Zhang
2021
In this paper, we propose an improved gait recognition algorithm, which combines multiple feature combination and artificial bee colony for optimizing the support vector machine (ABC-SVM).  ...  Thirdly, the penalty coefficient and kernel function parameter of the SVM classifier are optimized by the ABC algorithm, and the influence of different features and classifiers on the recognition results  ...  extraction and four classes of classification recognition algorithms, are introduced in Section 2. e results of gait recognition based on multiple feature combination and parameter optimization algorithms  ... 
doi:10.1155/2021/6693206 pmid:33727913 pmcid:PMC7937488 fatcat:2cgmj2jnjffujgjk5oftv7gzbe

Recognition and Difference Analysis of Human Walking Gaits Based on Intelligent Processing of Video Images

Yingnan Wang, Yueming Yang, Yan Li
2020 Traitement du signal  
To analyze the difference of human walking gaits more accurately, a feature learning and recognition algorithm was developed based on residual network, and proved accurate and robust through experiments  ...  Based on the residual network and long short-term memory (LSTM) network, this paper proposes a human walking gait recognition method, which relies on the vector image of human walking features and the  ...  GAIT FEATURE LEARNING AND RECOGNITION ALGORITHM BASED ON RESIDUAL NETWORK Considering its ultrahigh dimension, the vector image on human walking features must go through dimensionality reduction.  ... 
doi:10.18280/ts.370621 fatcat:dulooiyvnva7ra6zqsc76xkrbe

Human Posture Detection Method Based on Wearable Devices

Xiaoou Li, Zhiyong Zhou, Jiajia Wu, Yichao Xiong, Zhenghua Chen
2021 Journal of Healthcare Engineering  
Secondly, the mean, standard deviation, variance, and wavelet energy spectrum of triaxial acceleration were extracted, and these parameters were combined with plantar pressure as the gait features.  ...  control and gait recognition methods were proposed.  ...  In order to optimize the SVM algorithm based on the GA, penalty factor C and RBF parameter c need to be optimized.  ... 
doi:10.1155/2021/8879061 pmid:33833862 pmcid:PMC8016574 fatcat:rc3rfgjtmnbllpiptxtolvyw6q

A Human Body Gait Recognition System Based on Fourier Transform and Quartile Difference Extraction

Xijuan Wang
2017 International Journal of Online Engineering (iJOE)  
recognition based on feature combination</span><span style="font-family: 'Times New Roman',serif; font-size: 10.5pt; mso-fareast-font-family: 宋体; mso-fareast-language: ZH-CN; mso-bidi-font-weight: bold  ...  parameters of the acceleration signal, and these gait parameters can reflect the movement characteristics.  ...  Body Gait Recognition System Based on Fourier Transform and Quartile Difference… http://www.i-joe.orgPaper-A Human Body Gait Recognition System Based on Fourier Transform and Quartile Difference…  ... 
doi:10.3991/ijoe.v13i07.7294 fatcat:ym6l44vgpfh3pdqdaaomuupvzy

Sports Training System Based on Convolutional Neural Networks and Data Mining

Yuwang Zhang, Yuan Zhang, Syed Hassan Ahmed
2021 Computational Intelligence and Neuroscience  
Based on this, this paper studies the gait recognition model of sports training based on convolutional neural network algorithm.  ...  Then, the convolutional neural network algorithm and data mining technology are optimized and analyzed in the gait recognition model.  ...  Section 3 builds an athlete's gait recognition model based on the convolutional neural network algorithm and proposes an optimization model for sports training gait recognition based on Gaussian random  ... 
doi:10.1155/2021/1331759 pmid:34589121 pmcid:PMC8476273 fatcat:la2wpv2jpncfxhru55wcpm5xcq

Dual Phase Learning for Large Scale Video Gait Recognition [chapter]

Jialie Shen, HweeHwa Pang, Dacheng Tao, Xuelong Li
2010 Lecture Notes in Computer Science  
Accurate gait recognition from video is a complex process involving heterogenous features, and is still being developed actively.  ...  Adopting a "refinement-and-classification" principle, the framework comprises two components: 1) a classifier to generate advanced probabilistic features from low level gait parameters; and 2) a hidden  ...  Their gait pattern identification system is based on a 2D skeleton of the human body and joint angles of the lower body, which can be estimated as features for the purpose of gait recognition.  ... 
doi:10.1007/978-3-642-11301-7_50 fatcat:dk34bf4ymbdmrdtlqinx3txg3u

Estimation and Analysis of Sports Energy Consumption Based on Gait Tactile Parameters

Wang Yan, Zang Jian-Cheng, Li Bi-Tao, Gengxin Sun
2021 Discrete Dynamics in Nature and Society  
The physical fitness evaluation algorithm based on collaborative filtering is constructed, and a gait tactile recognition algorithm is proposed by feature selection based on the MEMS sensor.  ...  Finally, the algorithm is tested, and a conclusion is drawn. This algorithm is effective in monitoring and recognizing human gait.  ...  e fitness evaluation algorithm based on collaborative filtering is constructed, the feature selection based on the MEMS sensor is carried out, and the gait tactile recognition algorithm is proposed. e  ... 
doi:10.1155/2021/7778605 fatcat:4q3yfv7lszewhpbwc5ucpzueb4

Gait Recognition Based on Invariant Leg Classification Using a Neuro-Fuzzy Algorithm as the Fusion Method

Hadi Sadoghi Yazdi, Hessam Jahani Fariman, Jaber Roohi
2012 ISRN Artificial Intelligence  
This paper presents a human gait recognition algorithm based on a leg gesture separation.  ...  And it has been compared to recent algorithm of gait recognition.  ...  The FHMM has a multiple-layer structure and provides an alternative to combine several gait features without concatenating them into a single augmented feature.  ... 
doi:10.5402/2012/289721 fatcat:kedlek4e5jadzhwaabwtrdtymq

Random Subspace Method for Gait Recognition

Yu Guan, Chang-Tsun Li, Yongjian Hu
2012 2012 IEEE International Conference on Multimedia and Expo Workshops  
Overfitting is a common problem for gait recognition algorithms when gait sequences in gallery for training are acquired under a single walking condition.  ...  Experimental results on the benchmark USF HumanID gait database show that the proposed method is a feasible framework for gait recognition under unknown walking conditions.  ...  There are two mainstreams in gait recognition, namely appearance-based gait recognition and model-based gait recognition.  ... 
doi:10.1109/icmew.2012.55 dblp:conf/icmcs/GuanLH12 fatcat:s62sszj6ujflzfmalqm6u4a2ky

A Review of Vision-Based Gait Recognition Methods for Human Identification

Jin Wang, Mary She, Saeid Nahavandi, Abbas Kouzani
2010 2010 International Conference on Digital Image Computing: Techniques and Applications  
The survey emphasizes on three major issues involved in a general gait recognition system, namely gait image representation, feature dimensionality reduction and gait classification.  ...  This paper provides a comprehensive survey of recent developments on gait recognition approaches.  ...  [9] combine PCA and Multiple Discriminant Analysis (MDA) [37] to process Gait Energy Image (GEI).  ... 
doi:10.1109/dicta.2010.62 dblp:conf/dicta/WangSNK10 fatcat:5jzj7aw7dvg4ha75w42djvpvta

A Survey on Visual Surveillance of Object Motion and Behaviors

W. Hu, T. Tan, L. Wang, S. Maybank
2004 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
., occlusion handling, a combination of twoand three-dimensional tracking, a combination of motion analysis and biometrics, anomaly detection and behavior prediction, content-based retrieval of surveillance  ...  Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one of the most active research topics in computer vision.  ...  Xie, and G. Xu from the NLPR for their valuable suggestions and assistance in preparing this paper.  ... 
doi:10.1109/tsmcc.2004.829274 fatcat:cozxn2ogtrew3pybyuxcrj2rhi

Hybrid Deep-Learning Framework Based on Gaussian Fusion of Multiple Spatiotemporal Networks for Walking Gait Phase Recognition

Tao Zhen, Jian-lei Kong, Lei Yan
2020 Complexity  
In this study, an effective hybrid deep-learning framework based on Gaussian probability fusion of multiple spatiotemporal networks (GFM-Net) is proposed to detect different gait phases from multisource  ...  to realize gait recognition.  ...  To augment algorithm performance currently used in the IMU-based gait phase recognition, we propose an effective hybrid deep-learning framework based on Gaussian probability fusion of multiple spatiotemporal  ... 
doi:10.1155/2020/8672431 fatcat:x7eujr2iqrewliqh5e467xloaa

Walking Gait Phase Detection Based on Acceleration Signals Using Voting-Weighted Integrated Neural Network

Lei Yan, Tao Zhen, Jian-Lei Kong, Lian-Ming Wang, Xiao-Lei Zhou
2020 Complexity  
Human gait phase recognition is a significant technology for rehabilitation training robot, human disease diagnosis, artificial prosthesis, and so on.  ...  The efficient design of the recognition method for gait information is the key issue in the current gait phase division and eigenvalues extraction research.  ...  Based on the above experiment, we can get the curve of the acceleration in the X, Y, and Z directions and the combined acceleration as shown in Figure 3 . e human walking process is a rhythmic movement  ... 
doi:10.1155/2020/4760297 fatcat:575ianmdljfe5bnzkdd462ipja

Combined Regularized Discriminant Analysis and Swarm Intelligence Techniques for Gait Recognition

Tomasz Krzeszowski, Krzysztof Wiktorowicz
2020 Sensors  
This paper proposes hybrid methods that combine regularized discriminant analysis (RDA) and swarm intelligence techniques for gait recognition.  ...  In our approach, particle swarm optimization (PSO), grey wolf optimization (GWO), and whale optimization algorithm (WOA) are used.  ...  Most gait recognition studies are based on model-free approaches that employ the whole motion pattern of the human body.  ... 
doi:10.3390/s20236794 pmid:33261152 pmcid:PMC7730123 fatcat:adpip6oruzfgvfb3kl5wxwyxlm

Real-Time Human Recognition at Night via Integrated Face and Gait Recognition Technologies

Samah A. F. Manssor, Shaoyuan Sun, Mohammed A. M. Elhassan
2021 Sensors  
The proposed methodology uses accurate features to form the face and gait signatures by applying the YOLO-face algorithm and YOLO algorithm.  ...  This network optimizes the TIR images, provides more accurate features (face, gait, and body segment) of the person, and possesses it through the PDM-Net to detect the person class; then, PRM-Net classifies  ...  Acknowledgments: First, we are especially grateful to Aboubaker Bolad, who followed us through this work and gave us helpful advice. In addition, thanks to all our lab mat team members.  ... 
doi:10.3390/s21134323 pmid:34202659 fatcat:rc3hvvakgzejpip3wo6i5nphfe
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