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Gait-based recognition of humans using continuous HMMs

A. Kale, A.N. Rajagopalan, N. Cuntoor, V. Kruger
<i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kpdlnoy5crhxtiv7j3acen4kje" style="color: black;">Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition</a> </i> &nbsp;
The statistical nature of the HMM renders overall robustness to gait representation and recognition.  ...  A continuous HMM is trained using several such lower dimensional vector sequences extracted from the video.  ...  Bobick and Johnson used static features for recognition of humans using gait [2] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/afgr.2002.1004176">doi:10.1109/afgr.2002.1004176</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/fgr/KaleCKR02.html">dblp:conf/fgr/KaleCKR02</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uxrjr3r4yrhxhogs5vcbx5en7e">fatcat:uxrjr3r4yrhxhogs5vcbx5en7e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809144308/http://www.cfar.umd.edu/~kale/faceges.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c7/fc/c7fc22b63c544b0d1a288892a3f0fe89cf9d22d7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/afgr.2002.1004176"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

HMM-Based Gait Recognition with Human Profiles [chapter]

Heung-Il Suk, Bong-Kee Sin
<span title="">2006</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Two types of gait models have been developed both with a cyclic architecture: one is a discrete HMM method using a self-organizing map-based VQ codebook and the other is a continuous HMM method using feature  ...  We propose a viewbased pedestrian identification method using the dynamic silhouettes of a human body modeled with the hidden Markov model (HMM).  ...  Conclusion We proposed an improved gait recognition method using HMMs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11815921_65">doi:10.1007/11815921_65</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d4jc4qqrerh27ozmw2hredc2mu">fatcat:d4jc4qqrerh27ozmw2hredc2mu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503141836/https://link.springer.com/content/pdf/10.1007%2F11815921_65.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/55/b2/55b2017e5116f4c701da28ff8f18d28536b559b6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11815921_65"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Recognition of the Gait Phase Based on New Deep Learning Algorithm Using Multisensor Information Fusion

Fangzheng Wang, Lei Yan, Jiang Xiao
<span title="2019-10-18">2019</span> <i title="MYU K.K."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bt2ehz5ef5fhlkzwztxe5angja" style="color: black;">Sensors and materials</a> </i> &nbsp;
The new gait phase recognition algorithm is based on a deep memory convolutional neural network (DM-CNN) using multiple sensor fusion.  ...  of a human gait phase.  ...  The authors declare that there is no conflict of interest regarding the publication of this paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18494/sam.2019.2493">doi:10.18494/sam.2019.2493</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/srt3xhuly5gbfm7xneq6zhesfy">fatcat:srt3xhuly5gbfm7xneq6zhesfy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306060328/https://myukk.org/SM2017/sm_pdf/SM1991.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2c/ab/2cabd44dbf050db5b79cf3c6839803a3e8c192d1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18494/sam.2019.2493"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

2-D Structure-Based Gait Recognition in Video Using Incremental GMM-HMM [chapter]

Rui Pu, Yunhong Wang
<span title="">2015</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
on GMM-HMM using incremental learning, which can greatly improve the availability of gait traits in intelligent video surveillance.  ...  In this paper, we propose a useful 2-D structural feature, named skeleton-based feature, effective improvements for human pose estimation in human walking environment and a recognition framework based  ...  In this paper, we propose a new robust 2-D structural feature, effective improvements for human pose estimation in human walking environment and a recognition framework based on GMM-HMM using incremental  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-16628-5_5">doi:10.1007/978-3-319-16628-5_5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xnkb4uyclrhszp3tufuwacssta">fatcat:xnkb4uyclrhszp3tufuwacssta</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829181653/http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop1/pdffiles/w1-p8-accv2014finalpaper.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1d/c4/1dc4b5e93233fc632b070c8ff282ef0fe9141f64.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-16628-5_5"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A Novel Gait Recognition System Based on Hidden Markov Models [chapter]

Akintola Kolawole, Alireza Tavakkoli
<span title="">2012</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this paper, a gait recognition system using a space-model-based approach is proposed.  ...  The identification module makes use of the shape and dynamics of the system using HMM.  ...  Development of a gait recognition system for human recognition. Methodology In this paper an approach based on Hidden Markov Models (HMM) is adopted for gait recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-33191-6_13">doi:10.1007/978-3-642-33191-6_13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d5dhmt422bgjbjvrhpitbck37i">fatcat:d5dhmt422bgjbjvrhpitbck37i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150927022449/http://www.uhv.edu/gaming/publications/Tav-12-RBHMM-ISVC.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/90/21/9021b3d7aac86ae2e31e91b53d813e37004eee82.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-33191-6_13"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

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

Jin Wang, Mary She, Saeid Nahavandi, Abbas Kouzani
<span title="">2010</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/awy6wv35krcgpf7qnuhrzax63i" style="color: black;">2010 International Conference on Digital Image Computing: Techniques and Applications</a> </i> &nbsp;
Human identification by gait has created a great deal of interest in computer vision community due to its advantage of inconspicuous recognition at a relatively far distance.  ...  This paper provides a comprehensive survey of recent developments on gait recognition approaches.  ...  [13] construct a generic HMM based framework for individual gait recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/dicta.2010.62">doi:10.1109/dicta.2010.62</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/dicta/WangSNK10.html">dblp:conf/dicta/WangSNK10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5jzj7aw7dvg4ha75w42djvpvta">fatcat:5jzj7aw7dvg4ha75w42djvpvta</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190428231321/http://dro.deakin.edu.au/eserv/DU:30034514/she-areviewof-2010.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/08/ea/08eab602650ceaa030d0e74bee91bf8a5f06197b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/dicta.2010.62"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Ambulatory Human Gait Phase Detection Using Wearable Inertial Sensors and Hidden Markov Model

Long Liu, Huihui Wang, Haorui Li, Jiayi Liu, Sen Qiu, Hongyu Zhao, Xiangyang Guo
<span title="2021-02-14">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
Experimental results show that the proposed model based on HMM and parameter adaptation achieves good recognition rate in gait phases segmentation compared to other classification models, and the recognition  ...  Gait analysis, as a common inspection method for human gait, can provide a series of kinematics, dynamics and other parameters through instrumental measurement.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21041347">doi:10.3390/s21041347</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33672828">pmid:33672828</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jhuv2obfgjgg5ok54m3pui4rh4">fatcat:jhuv2obfgjgg5ok54m3pui4rh4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210215043412/https://res.mdpi.com/d_attachment/sensors/sensors-21-01347/article_deploy/sensors-21-01347.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/89/bc/89bcc625020979daf5750cc5ae16009c84d6e04a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21041347"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Robust Gait-Based Person Identification against Walking Speed Variations

Muhammad Rasyid AQMAR, Koichi SHINODA, Sadaoki FURUI
<span title="">2012</span> <i title="Institute of Electronics, Information and Communications Engineers (IEICE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xosmgvetnbf4zpplikelekmdqe" style="color: black;">IEICE transactions on information and systems</a> </i> &nbsp;
It is based on a combination of cubic higherorder local auto-correlation (CHLAC), gait silhouette-based principal component analysis (GSP), and a statistical framework using hidden Markov models (HMMs)  ...  the ID of each gait even when walking speed changes nonlinearly.  ...  HMM-based gait recognition has often been studied [5] , [13] to tackle this second sub-problem.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1587/transinf.e95.d.668">doi:10.1587/transinf.e95.d.668</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/guzqjx4jfjaxzps7k3wv42qvtu">fatcat:guzqjx4jfjaxzps7k3wv42qvtu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181030133643/https://www.jstage.jst.go.jp/article/transinf/E95.D/2/E95.D_2_668/_pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/53/12/53128bd4acd80c2188aff8c7b27f3703d196cae3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1587/transinf.e95.d.668"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A New Hidden Markov Model Algorithm to Detect Human Gait Phase Based on Information Fusion Combining Inertial with Plantar Pressure

Fangzheng Wang, Lei Yan, Jiang Xiao
<span title="2019-08-30">2019</span> <i title="MYU K.K."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bt2ehz5ef5fhlkzwztxe5angja" style="color: black;">Sensors and materials</a> </i> &nbsp;
The N-HMM was used for gait phase detection and the detection accuracy of the N-HMM was compared with that of the HMM, support vector machine (SVM), decision tree, and back propagation (BP) network algorithms  ...  The average accuracy of the N-HMM was 96.2%, outperforming all other algorithms. The results show that the N-HMM is capable of detecting the human gait phase with high accuracy.  ...  The authors declare that there is no conflict of interest regarding the publication of this paper. Sensors and Materials, Vol. 31, No. 8 (2019)  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18494/sam.2019.2431">doi:10.18494/sam.2019.2431</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bv7lbkqg7bhhlpioazhykvcfha">fatcat:bv7lbkqg7bhhlpioazhykvcfha</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306061156/https://myukk.org/SM2017/sm_pdf/SM1962.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cd/9b/cd9b7ffdee9fb280097daef0bb10af3d2b185365.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18494/sam.2019.2431"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Age Classification Base on Gait Using HMM

De Zhang, Yunhong Wang, Bir Bhanu
<span title="">2010</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jsl2pgelqja2piczru3a6nqkg4" style="color: black;">2010 20th International Conference on Pattern Recognition</a> </i> &nbsp;
In this paper we propose a new framework for age classification based on human gait using Hidden Markov Model (HMM). A gait database including young people and elderly people is built.  ...  The experimental results show that video-based automatic age classification from human gait is feasible and reliable.  ...  So, it is reasonable to study the age classification based on gait using computer vision and pattern recognition techniques.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icpr.2010.934">doi:10.1109/icpr.2010.934</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icpr/ZhangWB10.html">dblp:conf/icpr/ZhangWB10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5miq3pvibnfbzeydu27dso22fu">fatcat:5miq3pvibnfbzeydu27dso22fu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808035822/http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2010/AgeClassificationBasedonGait10.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/36/40/3640ebd92ceab7e0f587887457828c191231d0a8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icpr.2010.934"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Analyzing Human Movements from Silhouettes Using Manifold Learning

Liang Wang, David Suter
<span title="">2006</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4u3jxdcmrevzj46e7ani77j4u" style="color: black;">2006 IEEE International Conference on Video and Signal Based Surveillance</a> </i> &nbsp;
Encouraging results are obtained in two representative experiments in the areas of human activity recognition and gait-based human identification.  ...  One is correlation matching based on the Hausdorrf distance, and the other is a probabilistic method using continuous hidden Markov models (HMM).  ...  and recognition method based on HMM.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/avss.2006.25">doi:10.1109/avss.2006.25</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/avss/WangS06.html">dblp:conf/avss/WangS06</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3gk3v35btzgqjlbi7vjpzppfzu">fatcat:3gk3v35btzgqjlbi7vjpzppfzu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200709183131/https://media.adelaide.edu.au/acvt/Publications/2006/2006-Analyzing%20Human%20Movements%20from%20Silhouettes%20using%20Manifold%20Learning.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/dc/e4/dce49cfbf6225de276d37f1319f3cdfbf6ee41ef.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/avss.2006.25"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Hidden Markov modeling of human normal gait using laser range finder for a mobility assistance robot

Xanthi S. Papageorgiou, Georgia Chalvatzaki, Costas S. Tzafestas, Petros Maragos
<span title="">2014</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nytnrt3gtzbixld5r6a4talbky" style="color: black;">2014 IEEE International Conference on Robotics and Automation (ICRA)</a> </i> &nbsp;
, and recognition of the gait data.  ...  More specifically, the proposed framework has the potential to be used for the recognition of abnormal gait patterns and the subsequent classification of specific walking pathologies, which is needed for  ...  human motion) and based on Hidden Markov Model (HMM) for gait representation and recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icra.2014.6906899">doi:10.1109/icra.2014.6906899</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icra/PapageorgiouCTM14.html">dblp:conf/icra/PapageorgiouCTM14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e4p2dk234jai3i7ioy54uauepy">fatcat:e4p2dk234jai3i7ioy54uauepy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705110022/http://users.ntua.gr/xpapag/Papers/ICRA2014-1131.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/70/a0/70a0cf7e2135a42c45c71f37bdddb02003f73e50.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icra.2014.6906899"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Skeleton-Based Abnormal Gait Detection

Trong-Nguyen Nguyen, Huu-Hung Huynh, Jean Meunier
<span title="2016-10-26">2016</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
Such vectors are then converted into codewords using a clustering technique. The normal human gait model is created based on multiple sequences of codewords corresponding to different gait cycles.  ...  We propose an approach for detecting abnormal human gait based on a normal gait model.  ...  We also want to thank the comments of the reviewers, which have improved considerably the quality of the paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s16111792">doi:10.3390/s16111792</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27792181">pmid:27792181</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5134451/">pmcid:PMC5134451</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4qw4llpagjg7zeo4trdustqjdm">fatcat:4qw4llpagjg7zeo4trdustqjdm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170921212443/http://www.mdpi.com/1424-8220/16/11/1792/pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a5/4f/a54f3cf6eeac705078640bc4cc8e7ebd9fa25925.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s16111792"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134451" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Factorial HMM and Parallel HMM for Gait Recognition

Changhong Chen, Jimin Liang, Heng Zhao, Haihong Hu, Jie Tian, Jie Tian
<span title="">2009</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yppgahlq6ndebeq5yvdc23slyy" style="color: black;">IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)</a> </i> &nbsp;
Besides, the feature concatenation is used to directly concatenate the features and the parallel HMM (PHMM) is introduced as a decision-level fusion scheme, which employs traditional fusion rules to combine  ...  In this paper, the problem of multiple gait features fusion is explored with the framework of the factorial hidden Markov model (FHMM).  ...  FHMM-BASED PHMM-BASED SILHOUETTE RECOGNITION In this section, we describe the FHMM-based and PHMMbased gait silhouette recognition methods in detail.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tsmcc.2008.2001716">doi:10.1109/tsmcc.2008.2001716</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v7jgochchzbtnciv2g4fbgf7zu">fatcat:v7jgochchzbtnciv2g4fbgf7zu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20111230122005/http://www.3dmed.net/paper/ChenChanghong_2009IEEE%20TRANSACTIONS%20ON%20SYSTEMS,%20MAN,%20AND%20CYBERNETICS.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ea/c3/eac377070d544c744e5ca07c182f289173fc660b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tsmcc.2008.2001716"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Acoustic Gait-based Person Identification using Hidden Markov Models [article]

Jürgen T. Geiger, Maximilian Kneißl, Björn Schuller and Gerhard Rigoll
<span title="2014-06-11">2014</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We present a system for identifying humans by their walking sounds. This problem is also known as acoustic gait recognition.  ...  For experimental validation, we use the publicly available TUM GAID database, which is a large gait recognition database containing 3050 recordings of 305 subjects in three variations.  ...  Acoustic gait-based person identification is also known as acoustic gait recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1406.2895v1">arXiv:1406.2895v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mvnjwvjfo5drfpqiotce7thh2y">fatcat:mvnjwvjfo5drfpqiotce7thh2y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200825232132/https://arxiv.org/pdf/1406.2895v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8a/69/8a692df5c0e4d0cbcba5c3e92ee75c1ed402904c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1406.2895v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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