Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Soft Computing
Erschienen in: Soft Computing 19/2019

08.11.2018 | Focus

Gait identification using fractal analysis and support vector machine

verfasst von: Wen Si, Gelan Yang, XiangGui Chen, Jie Jia

Erschienen in: Soft Computing | Ausgabe 19/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This paper presents the development of wearable sensing system that can be used to study the gait dynamics of human. A tester wearing sensing shoes participates in this study. Human gait information about standing, jumping and walking is obtained as prior probability based on the train movement model setup theory. For feature extraction of gait, five kinds of features are extracted from foot pressure signals, which are subsequently used for motion analysis. We employ support vector machine and fractal analysis for gait recognition and test the identification performance. Testing outcomes indicate an overall accuracy of 93.57% via radial basis function kernel function. These results demonstrate considerable potential in gait identification.
Vorheriger Artikel New level set approach based on Parzen estimation for stroke segmentation in skull CT images
Nächster Artikel Road network-based region of interest mining and social relationship recommendation

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
Alqasemi R, Dubey R (2010) A 9-DoF wheelchair-mounted robotic arm system: design, brain-computer interfacing and testing. Adv Robot Manip, Control, pp 51–78
Carlet M (1872a) Etude de la marche. Ann Nat Sci No. 15, Article 6
Carlet M (1872b) Sur la locomotion humaine, Etude de la marche. Ann Sci Nat No. 5, 16
Chiang HS, Sangaiah AK, Chen MY, Liu JY (2018) A novel artificial bee colony optimization algorithm with SVM for bio-inspired software-defined networking. Int J Parallel Program 8:1–19
Christopher JC, Burges CJC (1998) A tutorial on support vector machines for pattern recognition. Data Min Knowl Discov 2:121–167CrossRef
El-Naqa I, Yang Y, Wernick MN, Galasanos NP, Nishikawa RM (2002) A support vector machine approach for detection of microcalcifications. IEEE Trans Med Imaging 21(12):1552–1563CrossRef
Gafurov D, Snekkenes E (2009) Gait recognition using wearable motion recording sensors. EURASIP J Adv Signal Process 1:1–16MATH
Han T, Zeng M, Zhang L, Sangaiah AK (2018) A channel-aware duty cycle optimization for node-to-node communications in the internet of medical things. Int J Parallel Program 7:1–16
Hausdorff JM (2007) Gait dynamics, fractals and falls: finding meaning in the stride-to-stride fluctuations of human walking. Hum Mov Sci 26:555–589CrossRef
Hessert MJ, Vyas M, Leach J, LA Hu L, Novak V (2005) Foot pressure distribution during walking in young and old adults. BMC Geriatrics 5:8CrossRef
Hong L, Jain AK, Pankanti S (1999) Can multiple biometrics improve performance. In: IEEE workshop on automatic identification advanced technologies, pp 1–8
Ivanciuc O (2007) Applications of support vector machines in chemistry. Rev Comput Chem 23:291–400CrossRef
Ives TE (2004) Aging and balance. Adv Dir Rehabil 13:12
Kawamoto H, Sankai Y (2002) Power assist system HAL-3 for gait disorder person. Comput Help People Spec Needs 2398:196–203CrossRef
Kim G, Kang S, Cho KH, Ryu J, Mun M, Ko C-Y (2013) A preliminary study of the effects of gait training using powered gait orthosis for paraplegics: aspects of gait function, fat mass, and bone mass. Int J Precis Eng Manuf 14(10):1855–1859CrossRef
Kobetic R, To CS, Schnellenberger JR, Bulea TC, Co RG, Pinault G (2009) Development of hybrid orthosis for standing, walking, and stair climbing after spinal cord injury. J Rehabil Res Dev 46(3):447–462CrossRef
Lasrsen RK, Simonsen EB, Lynnerup N (2007) Gait analysis in forensic medicine, article no. 64910m, Video metrics IX, vol 6491
Liikavainio T (2010) Biomechanics of gait and physical function in patients with knee osteoarthritis thigh muscle properties and joint loading assessment. Doctor dissertation, University of Eastern Finland
Liu S, Pan Z, Cheng X (2017) A novel fast fractal image compression method based on distance clustering in high dimensional sphere surface. Fractals 25(4):1740004CrossRef
Liu G, Liu S, Muhammad K, Sangaiah A, Doctor F (2018) Object tracking in vary lighting conditions for fog based intelligent surveillance of public spaces. IEEE Access 6(1):29283–29296CrossRef
Lu M, Liu S, Kumarsangaiah A et al (2018) Nucleosome positioning with fractal entropy increment of diversity in telemedicine. IEEE Access 6(1):33451–33459CrossRef
Moon SB, Ji Y-H, Jang H-Y, Hwang S-H, Shin D-B, Lee S-C, Han J-S, Han C-S, Lee YG, Jang SH, Park SB, Kim MJ (2017) Gait analysis of hemiplegic patients in ambulatory rehabilitation training using a wearable lower-limb robot: a pilot study. Int J Precis Eng Manuf 18(12):1773–1781CrossRef
Murata A, Iwase H (1998) Chaotic analysis of body sway, proceedings of the 20th annual international conference of the IEEE engineering in medicine and biology society, vol 3, pp 1557–1560
Neuhaus P, Kazerooni H (2001) Industrial-strength human-assisted walking robots. IEEE Robot Autom Mag 8(4):18–25CrossRef
Pan Z, Liu S, Sangaiah AK, Muhammad K (2018) Visual attention feature (VAF): a novel strategy for visual tracking based on cloud platform in intelligent surveillance systems. J Parallel Distrib Comput 120:182–194CrossRef
Queen RM, Abbey AN, Wiegerinck JI, Yoder JC, Nunley JA (2010) Effect of shoe type on plantar pressure: a gender comparison. Gait Posture 31(1):18–22CrossRef
Rodgers MM (1995) Dynamic foot biomechanics. J Orthop Sports Phys Ther 21:306–316CrossRef
Sangaiah AK, Samuel OW, Li X, Abdel-Basset M, Wang H (2017) Towards an efficient risk assessment in software projects: fuzzy reinforcement paradigm. Comput Electr Eng 8:1–12
Sazonov ES, Bumpus T, Zeigler S, Marocco S (2005) Classification of plantar pressure and heel acceleration patterns using neural networks. Int Jt Conf Neural Netw 5:3007–3010
Sodhro AH, Luo Z, Sangaiah AK, Baik SW (2018) Mobile edge computing based QoS optimization in medical healthcare applications. Int J Inf Manag 9:45–56
Stewart L, Gibson J (2007) In-shoe pressure distribution in ‘‘unstable’’ (MBT) shoes and flat-bottomed training shoes: a comparative study. Gait Posture 25:648–651CrossRef
Su H, Yang M, Xu H (2008) A novel method of gait recognition based on kernel fisher discriminant analysis. In: 2008 IEEE international conference on systems, man and cybernetics, pp 830–835
Sugimoto C, Tsuji M, Lopez G, Hosaka , Sasaki K, Hirota T, Tatsuta S (2006) Development of a behavior recognition system using wireless wearable information devices. In: 2006 1st international symposium on CD-ROM wireless pervasive computing (ISWPC), pp 1–5
Suxia XING, Tianhua CHEN, Jingxian LI (2010) Image fusion based on regional energy and standard deviation. Signal Process Syst 1:739–743
Tanioka T, Kai Y, Matsuda T, Inoue Y, Sugawara K, Takasaka Y, Tsubahara A, Matsushita Y, Nagamine I, Tada T, Hashimoto F (2004) Real-time measurement of frozen gait in patient with parkinsonism using a sensor-controlled walker. J Med Investig 51(1-2):117–124CrossRef
Tao D, Li X, Wu X, Maybank SJ (2007) General tensor discriminant analysis and Gabor features for gait recognition. IEEE Trans Pattern Anal Mach Intell 29(10):1700–1715CrossRef
Vaughan CL, Davis BL, O’Connor JJ (1999) Dynamics of human gait. Kiboho Publisher, Cape Town
Whittle MW (2007) Gait analysis: an introduction. Elsevier, Amsterdam
Yang Y, Wang J, Yang Y, (2012) Exploiting rotation invariance with SVM classifier for micro-calcification detection. In: Biomedical imaging, pp 590–593
Yang G, Tan W, Jin H, Zhao T, Tu L (2018) Review wearable sensing system for gait recognition. Clust Comput 1:1–9
Yong F, Yunjian GE, Quanjun S (2001) A human identification method based on dynamic plantar pressure distribution. In: International conference on information and automation, pp 329–332
Yuan G, Zhang M, Wang Z, Zhang J (2004) The distribution of foot pressure and its influence factors in Chinese people. Chin J Phys Med Rehabil 26(3):156–159
Zheng S, Huang K, Tan T, Tao D (2012) A cascade fusion scheme for gait and cumulative foot pressure image recognition. Pattern Recognit 45:3603–3610CrossRef
Zoss A, Kazerooni H, Chu A (2005) On the mechanical design of the Berkeley lower extremity exoskeleton (BLEEX). In: International conference on intelligent robots and systems, pp 3465–3472
Zou D, Mueller M, Lott D (2007) Effect of peak pressure and pressure gradient on subsurface shear stresses in the neuropathic foot. J Biomech 40:883–890CrossRef
Metadaten
Titel
Gait identification using fractal analysis and support vector machine
verfasst von
Wen Si
Gelan Yang
XiangGui Chen
Jie Jia
Publikationsdatum
08.11.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 19/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-018-3609-8

Weitere Artikel der Ausgabe 19/2019

Soft Computing 19/2019 Zur Ausgabe

Methodologies and Application

Exploration–exploitation balance in Artificial Bee Colony algorithm: a critical analysis

Methodologies and Application

A robust direct adaptive fuzzy control for a class of uncertain nonlinear MIMO systems

Focus

A cognitive/intelligent resource provisioning for cloud computing services: opportunities and challenges

Focus

Learning to rank with relational graph and pointwise constraint for cross-modal retrieval

Methodologies and Application

Furnace operation optimization with hybrid model based on mechanism and data analytics

Methodologies and Application

Selecting optimal blocks for image watermarking using entropy and distinct discrete firefly algorithm