Top

Published in:

01-08-2020

Artificial intelligence based on fuzzy logic for the analysis of human movement in healthy people: a systematic review

Authors: Bráulio Nascimento Lima, Pietro Balducci, Ricardo Pablo Passos, Claudio Novelli, Carlos Henrique Prevital Fileni, Fábio Vieira, Leandro Borelli de Camargo, Guanis de Barros Vilela Junior

Published in: Artificial Intelligence Review | Issue 2/2021

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Technological advances that involve computing and artificial intelligence (AI) have led to advances in analysis methods. Fuzzy logic (FL) serves as a qualitative interpretation tool for AI. The objective of this systematic review is to investigate the methods of human movement (HM) analysis using AI through FL to understand the characteristics of the movement of healthy people. To identify relevant studies published up to April 19, 2019, we conducted a study of the PubMed, Scopus, ScienceDirect, and IEEE Xplore databases. We included studies that evaluated HM through AI using FL in healthy people. A total of 951 articles were examined, of which six were selected because they met the criteria presented in the methods. The protocols had high heterogeneity, yet all articles selected presented statistically satisfactory results, in addition to low errors or a false positive index. Only one selected article presented protocol applicability within the free-living model. Generally, AI using FL is a good tool to help assess HM in healthy people, but the model still needs new data acquisition entries to make it applicability within the free-living model.

previous article 360 degree view of cross-domain opinion classification: a survey

next article Online handwriting recognition systems for Indic and non-Indic scripts: a review

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

inform now

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!

inform now

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!

inform now

Ahamed NU, Benson L, Clermont C, Osis ST, Ferber R (2017) Fuzzy inference system-based recognition of slow, medium and fast running conditions using a triaxial accelerometer. Procedia Comput Sci 114:401–407. https://doi.org/10.1016/j.procs.2017.09.054CrossRef

Ahmadi H, Gholamzadeh M, Shahmoradi L, Nilashi M, Rashvand P (2018) Diseases diagnosis using fuzzy logic methods: a systematic and meta-analysis review. Comput Methods Progr Biomed 161:145–172. https://doi.org/10.1016/j.cmpb.2018.04.013CrossRef

Ahn D (2018) Optimization algorithms for integrating advanced facility-level healthcare technologies into personal healthcare devices. DGIST, Daegu

Akash K, Hu W-L, Jain N, Reid T (2018) A classification model for sensing human trust in machines using EEG and GSR. arXiv:180309861

Baca A, Dabnichki P, Heller M, Kornfeind P (2009) Ubiquitous computing in sports: a review and analysis. J Sports Sci 27:1335–1346. https://doi.org/10.1080/02640410903277427CrossRef

Bastawrous S, Wake N, Levin D, Ripley B (2018) Principles of three-dimensional printing and clinical applications within the abdomen and pelvis. Abdom Radiol (New York) 43:2809–2822. https://doi.org/10.1007/s00261-018-1554-8CrossRef

Calmet J, Campbell JA (2010) A revisited perspective on symbolic mathematical computing and artificial intelligence. In: International conference on intelligent computer mathematics. Springer, pp 14–18

Cippitelli E, Gasparrini S, Gambi E, Spinsante S (2016) A human activity recognition system using skeleton data from RGBD sensors. Comput Intell Neurosci 2016:21. https://doi.org/10.1155/2016/4351435CrossRef

Cust EE, Sweeting AJ, Ball K, Robertson S (2019) Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance. J Sports Sci 37:568–600. https://doi.org/10.1080/02640414.2018.1521769CrossRef

Deshpande A, Kumar M (2018) Artificial intelligence for big data: complete guide to automating big data solutions using artificial intelligence techniques. Packt Publishing Ltd, Birmingham

Farzandipour M, Nabovati E, Saeedi S, Fakharian E (2018) Fuzzy decision support systems to diagnose musculoskeletal disorders: a systematic literature review. Comput Methods Progr Biomed 163:101–109. https://doi.org/10.1016/j.cmpb.2018.06.002CrossRef

Garza-Rodríguez A, Sánchez-Fernández LP, Sánchez-Pérez LA, Ornelas-Vences C, Ehrenberg-Inzunza M (2018) Pronation and supination analysis based on biomechanical signals from Parkinson’s disease patients. Artif Intell Med 84:7–22. https://doi.org/10.1016/j.artmed.2017.10.001CrossRef

Golabchi A, Han S, Fayek A, AbouRizk S (2017) Stochastic modeling for assessment of human perception and motion sensing errors in ergonomic analysis. J Comput Civ Eng 31:04017010. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000655CrossRef

Gopalai AA, Arosha Senanayake SMNA (2011) A wearable real-time intelligent posture corrective system using vibrotactile feedback IEEE/ASME. Trans Mechatron 16:827–834. https://doi.org/10.1109/TMECH.2011.2161486CrossRef

Kermany DS et al (2018) Identifying medical diagnoses and treatable diseases by image-based deep learning. Cell 172:1122–1131.e1129. https://doi.org/10.1016/j.cell.2018.02.010CrossRef

Kutilek P, Viteckova S, Svoboda Z (2013) Characterization of human gait using fuzzy logic. Acta Polytech 53:88–92

Ma X, Liu Q, Zhan J (2017) A survey of decision making methods based on certain hybrid soft set models. Artif Intell Rev 47:507–530. https://doi.org/10.1007/s10462-016-9490-xCrossRef

Manoj T, Thyagaraju G (2018) Active and assisted living: a comprehensive review of enabling technologies and scenarios. Int J Adv Res Comput Sci 9:461–471. https://doi.org/10.26483/ijarcs.v9i1.5284CrossRef

McBee MP et al (2018) Deep learning in radiology. Acad Radiol 25:1472–1480. https://doi.org/10.1016/j.acra.2018.02.018CrossRef

Mebarkia K, Bekka REh, Reffad A, Disselhorst-Klug C (2014) Fuzzy MUAP recognition in HSR-EMG detection basing on morphological features. J Electromyogr Kinesiol 24:473–487. https://doi.org/10.1016/j.jelekin.2014.04.006CrossRef

Moher D, Liberati A, Tetzlaff J, Altman DG (2010) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Int J Surg (London, England) 8:336–341. https://doi.org/10.1016/j.ijsu.2010.02.007CrossRef

Montoye AHK, Dong B, Biswas S, Pfeiffer KA (2016) Validation of a wireless accelerometer network for energy expenditure measurement. J Sports Sci 34:2130–2139. https://doi.org/10.1080/02640414.2016.1151924CrossRef

Morales-Orcajo E, de Bengoa Becerro, Vallejo R, Losa Iglesias M, Bayod J, de Las Barbosa, Casas E (2018) Foot internal stress distribution during impact in barefoot running as function of the strike pattern. Comput Methods Biomech Biomed Eng 21:471–478. https://doi.org/10.1080/10255842.2018.1480760CrossRef

Mostafa SA, Mustapha A, Mohammed MA, Ahmad MS, Mahmoud MA (2018) A fuzzy logic control in adjustable autonomy of a multi-agent system for an automated elderly movement monitoring application. Int J Med Inform 112:173–184. https://doi.org/10.1016/j.ijmedinf.2018.02.001CrossRef

Ng H, Tan WH, Abdullah J, Tong HL (2014) Development of vision based multiview gait recognition system with MMUGait database. Sci World J. https://doi.org/10.1155/2014/376569CrossRef

Nowshiravan Rahatabad F, Jafari AH, Fallah A, Razjouyan J (2012) A fuzzy-genetic model for estimating forces from electromyographical activity of antagonistic muscles due to planar lower arm movements: the effect of nonlinear muscle properties. BioSystems 107:56–63. https://doi.org/10.1016/j.biosystems.2011.09.004CrossRef

Pan Y (2016) Heading toward artificial intelligence 2.0. Engineering 2:409–413. https://doi.org/10.1016/J.ENG.2016.04.018CrossRef

Peulic A, Sustersic T, Peulic M (2018) Non-invasive improved technique for lumbar discus hernia classification based on fuzzy logic. Biomed Tech Biomed Eng. https://doi.org/10.1515/bmt-2018-0013CrossRef

Sakthivel G, Saravanakumar D, Muthuramalingam T (2018) Application of failure mode and effect analysis in manufacturing industry-an integrated approach with FAHP-fuzzy TOPSIS and FAHP-fuzzy VIKOR. Int J Product Qual Manag 24:398–423. https://doi.org/10.1504/IJPQM.2018.092984CrossRef

Sarowar M (2018) Emergence-of-automated-computing-technologies-in-biomedical-diseaseand-drug-discovery-117. J Biomed Syst Emerg Technol 5:1–13

Savino MM, Battini D, Riccio C (2017) Visual management and artificial intelligence integrated in a new fuzzy-based full body postural assessment. Comput Ind Eng 111:596–608. https://doi.org/10.1016/j.cie.2017.06.011CrossRef

Title: Artificial intelligence based on fuzzy logic for the analysis of human movement in healthy people: a systematic review
Authors: Bráulio Nascimento Lima
Pietro Balducci
Ricardo Pablo Passos
Claudio Novelli
Carlos Henrique Prevital Fileni
Fábio Vieira
Leandro Borelli de Camargo
Guanis de Barros Vilela Junior
Publication date: 01-08-2020
Publisher: Springer Netherlands
Published in: Artificial Intelligence Review / Issue 2/2021
Print ISSN: 0269-2821
Electronic ISSN: 1573-7462
DOI: https://doi.org/10.1007/s10462-020-09885-8

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Other articles of this Issue 2/2021

Chaos Game Optimization: a novel metaheuristic algorithm

A texture feature based approach for person verification using footprint bio-metric

PROMETHEE II method based on variable precision fuzzy rough sets with fuzzy neighborhoods

A new chaotic complex map for robust video watermarking

A survey of sentiment analysis in the Portuguese language

Risk assessment in discrete production processes considering uncertainty and reliability: Z-number multi-stage fuzzy cognitive map with fuzzy learning algorithm

Premium Partner