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Individuality-Preserving Gait Pattern Prediction Based on Gait Feature Transitions

Tsuyoshi HIGASHIGUCHI, Norimichi UKITA, Masayuki KANBARA, Norihiro HAGITA
2018 IEICE transactions on information and systems  
Our work addresses this problem by predicting an individuality-preserving gait pattern for each patient.  ...  This model allows to predict individuality-preserving gait patterns of each patient even if his/her various gait patterns are not available for prediction.  ...  In this work, individuality-preserving gait prediction for providing s now + Δ to each patient is defined as follows: if individuality is preserved in a predicted gait when one of gait features (e.g.,  ... 
doi:10.1587/transinf.2018edp7082 fatcat:4i3dlu674zgn5gysh3uczpdsly

GaitVision: Real-Time Extraction of Gait Parameters Using Residual Attention Network

Mohammad Farukh Hashmi, B. Kiran Kumar Ashish, Prabhu Chaitanya, Avinash Keskar, Sinan Q. Salih, Neeraj Dhanraj Bokde, Salvatore Cuomo
2021 Complexity  
This paper mainly focuses on the assessment of the crucial features of gait patterns and analysis of gait patterns research.  ...  Gait walking patterns are one of the key research topics in natural biometrics. The temporal information of the unique gait sequence of a person is preserved and used as a powerful data for access.  ...  Pattern differentiation of each individual, especially features, such as the pelvis and thorax, is completely different for each individual. is temporal information can be used to adapt computer vision-based  ... 
doi:10.1155/2021/1589716 fatcat:n4vkhk6dcncmpmdvweewej5dku

User Identification Using Gait Patterns on UbiFloorII

Jaeseok Yun
2011 Sensors  
To identify the users based on the gait patterns extracted from walking samples over UbiFloorII, we have deployed multilayer perceptron network, a feedforward artificial neural network model.  ...  This paper presents a system of identifying individuals by their gait patterns.  ...  Vision-Based Gait Recognition Vision-based gait recognition focuses on recognizing an individual with various features extracted from a video-sequence of the person walking.  ... 
doi:10.3390/s110302611 pmid:22163758 pmcid:PMC3231596 fatcat:3aohabtebvhlnp72bjxckyehom

A Wearable Gait Phase Detection System Based on Force Myography Techniques

Xianta Jiang, Kelvin Chu, Mahta Khoshnam, Carlo Menon
2018 Sensors  
schemes to restore normal gait pattern.  ...  1) Background: Quantitative evaluation of gait parameters can provide useful information for constructing individuals' gait profile, diagnosing gait abnormalities, and better planning of rehabilitation  ...  phase transitions, and predicted phase transitions.  ... 
doi:10.3390/s18041279 pmid:29690532 pmcid:PMC5948944 fatcat:exuhgwgfz5hwbmqjibumahtwzu

Probabilistic modelling of gait for robust passive monitoring in daily life

Yordan Petrov Raykov, Luc Evers, Reham Badawy, Bastiaan R. Bloem, Tom Heskes, Marjan Meinders, Kasper Claes, Max A. Little
2020 IEEE journal of biomedical and health informatics  
Using this dataset, we demonstrate the frameworks ability to detect gait and predict medication induced fluctuations in PD patients based on free living gait.  ...  patterns.  ...  III BALANCED ACCURACY TO PREDICT WHETHER GAIT SEGMENTS OCCURRED BEFORE OR AFTER MEDICATION INTAKE, USING A LOGISTIC CLASSIFIER BASED ON PSD FEATURES OBTAINED FROM THE AR-IHMM, NORMALIZED PER SUBJECT.  ... 
doi:10.1109/jbhi.2020.3037857 pmid:33180738 fatcat:ceojeklcdnbrlbhxj4bqrpnbyu

Gait-based age progression/regression: a baseline and performance evaluation by age group classification and cross-age gait identification

Chi Xu, Yasushi Makihara, Yasushi Yagi, Jianfeng Lu
2019 Machine Vision and Applications  
Modeling the aging process on gait features is one of the possible solutions to this problem, and it may inspire more potential applications, such as finding lost children and examining health status.  ...  using a generic geometric transformation between different age groups, in conjunction with the gait energy image, which is an appearance-based gait feature frequently used in the gait analysis community  ...  24, 27, 30] , which are based on the analysis of various gait features.  ... 
doi:10.1007/s00138-019-01015-x fatcat:wkcdwwjf5rctjn65fr4fq5dpse

BGaitR-Net: Occluded Gait Sequence reconstructionwith temporally constrained model for gait recognition [article]

Somnath Sendhil Kumara, Pratik Chattopadhyaya, Lipo Wang
2021 arXiv   pre-print
Our LSTM-based model reconstructs occlusion and generates frames that are temporally consistent with the periodic pattern of a gait cycle, while simultaneously preserving the body structure.  ...  Gait recognition in the presence of occlusion is one of the challenging research topics in this area, and the solutions proposed by researchers to date lack in robustness and also dependent of several  ...  appearance-based gait features, i.e., [8] , [9] , and [11] .  ... 
arXiv:2110.09564v1 fatcat:ie7s2tzttfb77ddxjwlhjzsk4q

Feature Extraction for Terrain Classification with Crawling Robots

Jakub Mrva, Jan Faigl
2015 Conference on Theory and Practice of Information Technologies  
The proposed approach is built on top of the existing method based on analysis of the feedback from the robot's actuators and the desired trajectory.  ...  The formed method uses features for the Support Vector Machine classification method that assumes a regular time-invariant gait to control the robot.  ...  One way to handle a high DOF is to generate a walking pattern-a gait [1] .  ... 
dblp:conf/itat/MrvaF15 fatcat:bynun5dfdjadnm3onh4aq5m3cq

Spatiotemporal Analysis by Deep Learning of Gait Signatures from Floor Sensors

Abdullah S. Alharthi, Alexander J. Casson, Krikor B. Ozanyan
2021 IEEE Sensors Journal  
The purpose of this paper is to study the nature of gait variability in more detail, by identifying gait intervals responsible for gait pattern variations in individuals, as well as between individuals  ...  This allows valuable insight into which parts of the gait spatiotemporal signal have the heaviest influence on the gait classification and consequently, which gait events, such as heel strike or toe-off  ...  We compared the CNN predictions to manually labelled ground truth in several experiments, based on individuals' identity and the changes to normal gait incurred by cognitive load.  ... 
doi:10.1109/jsen.2021.3078336 fatcat:7obf2rg64rh6hmydr5jkl5wzoq

Feature Identification with a Heuristic Algorithm and an Unsupervised Machine Learning Algorithm for Prior Knowledge of Gait Events

Seth R. Donahue, Michael E. Hahn
2021 IEEE transactions on neural systems and rehabilitation engineering  
These approaches are consistent in their identification of gait events and have the potential to be utilized for classification and prediction of locomotion mode.  ...  Hz) human locomotion data for identification of gait events prior to their occurrence.  ...  CONCLUSION In this study we have shown the efficacy of both a heuristic algorithm and an unsupervised machine learning algorithm for the identification of features prior to gait events based on a single  ... 
doi:10.1109/tnsre.2021.3131953 pmid:34851829 fatcat:amrvrbqj6zfyljiq4hl6xbs3ri

Systematic Review of Intelligent Algorithms in Gait Analysis and Prediction for Lower Limb Robotic Systems

Rania Kolaghassi, Mohamad Kenan Al-Hares, Konstantinos Sirlantzis
2021 IEEE Access  
These generated gait patterns will be used by their lower limb robot SLEX and are based on the walking speed as well as body parameters.  ...  This process allows for individualized gait trajectories based on the person's particular body parameters, allowing the sharing of the exoskeleton by multiple users. 2) DEEP NEURAL NETWORK A recurrent  ... 
doi:10.1109/access.2021.3104464 fatcat:bwnhkab6yjajtkvp3srzejpxru

Fusion of Bilateral Lower-Limb Neuromechanical Signals Improves Prediction of Locomotor Activities

Blair Hu, Elliott Rouse, Levi Hargrove
2018 Frontiers in Robotics and AI  
For unilaterally-impaired individuals, these differences tend to be amplified because they develop asymmetric gait patterns; however, state-of-the-art intent recognition approaches have not been systematically  ...  Wearable lower-limb assistive devices have the potential to dramatically improve the walking ability of millions of individuals with gait impairments.  ...  The appropriate classifier for each prediction was selected based on the activity just before the gait event (i.e., incoming activity based on the key fob label).  ... 
doi:10.3389/frobt.2018.00078 pmid:33500957 pmcid:PMC7805670 fatcat:2vcizpwn4vb73f3wjvhql6gxye

Review on Vision-Based Gait Recognition: Representations, Classification Schemes and Datasets

Chin Poo Lee, Alan Wee Chiat Tan, Kian Ming Lim
2017 American Journal of Applied Sciences  
Each major category is further organized into several subcategories based on the nature of gait representation.  ...  A wide range of publications are discussed in this survey embracing different perspectives of the research in this area, including gait feature extraction, classification schemes and standard gait databases  ...  The aim of gait recognition is to automatically describe walking pattern from video sequences and thereafter identify individual based on the walking pattern.  ... 
doi:10.3844/ajassp.2017.252.266 fatcat:rolztijvorhkfjpv6laivlrihe

Pectoral fin coordination and gait transitions in steadily swimming juvenile reef fishes

M. E. Hale
2006 Journal of Experimental Biology  
Based on previous studies, we raise several possibilities for why fish may use multiple gait transitions.  ...  Introduction Locomotion is classified into gaits based on discontinuous transitions in characteristics of movement (reviewed by Alexander, 1989) .  ... 
doi:10.1242/jeb.02449 pmid:16985188 fatcat:6nn2hn7i7zafdfe3ty2sok6spa

Dynamic Principles of Gait and Their Clinical Implications

A. D. Kuo, J. M. Donelan
2009 Physical Therapy  
A healthy gait pattern depends on an array of biomechanical features, orchestrated by the central nervous system for economy and stability.  ...  The dynamic walking approach can predict the consequences of disruptions to normal biomechanics, and the associated observations can help explain some aspects of impaired gait.  ...  pattern itself. 3, 4 These issues are addressed, in part, with gait rehabilitation, where the course of treatment relies heavily on the expertise of the individual caregiver.  ... 
doi:10.2522/ptj.20090125 pmid:20023002 pmcid:PMC2816028 fatcat:5ewqz3cn4vgbvcxhr775g4ms4i
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