{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:18:26Z","timestamp":1760145506335,"version":"build-2065373602"},"reference-count":27,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T00:00:00Z","timestamp":1721865600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["51275408"],"award-info":[{"award-number":["51275408"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>This study utilizes the ResNet18 network to classify and recognize trajectories of planar mechanisms. This research begins by deriving formulas for trajectory points in various typical planar mechanisms, and the resulting trajectory images are employed as samples for training and testing the network. The classification of trajectory images for both upright and inverted configurations of a planar four-bar linkage is investigated. Compared with AlexNet and VGG16, the ResNet18 model demonstrates superior classification accuracy during testing, coupled with reduced training time and memory consumption. Furthermore, the ResNet18 model is applied to classify trajectory images for six different planar mechanisms in both upright and inverted configurations as well as to identify whether the trajectory images belong to the upright or inverted configuration for each mechanism. The test results affirm the feasibility and effectiveness of the ResNet18 network in the classification and recognition of planar mechanism trajectories.<\/jats:p>","DOI":"10.3390\/a17080324","type":"journal-article","created":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T06:11:36Z","timestamp":1721887896000},"page":"324","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Trajectory Classification and Recognition of Planar Mechanisms Based on ResNet18 Network"],"prefix":"10.3390","volume":"17","author":[{"given":"Jianping","family":"Wang","sequence":"first","affiliation":[{"name":"School of Mechanical and Precision Instrument Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youchao","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mechanical and Precision Instrument Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Boyan","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Mechanical and Precision Instrument Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyue","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Mechanical and Precision Instrument Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dexi","family":"Pu","sequence":"additional","affiliation":[{"name":"School of Mechanical and Precision Instrument Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,7,25]]},"reference":[{"key":"ref_1","first-page":"27","article-title":"Optimal synthesis of a path generator six-bar linkage","volume":"26","year":"2012","journal-title":"J. Mech. Sci. Technol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"081003","DOI":"10.1115\/1.4001878","article-title":"Complete Solution to the Eight-Point Path Generation of Slider-Crank Four-Bar Linkages","volume":"132","author":"Tari","year":"2010","journal-title":"J. Mech. Des."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1016\/j.apm.2015.09.032","article-title":"A general method for the optimal synthesis of mechanisms using prescribed instant center positions","volume":"40","author":"Sancibrian","year":"2016","journal-title":"Appl. Math. Model."},{"key":"ref_4","first-page":"690","article-title":"A new differential evolution algorithm with a combined mutation strategy for optimum synthesis of path-generating four-bar mechanisms","volume":"231","author":"Lin","year":"2017","journal-title":"Proc. Inst. Mech. Eng."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.mechmachtheory.2015.08.004","article-title":"Modified Krill Herd (MKH) algorithm and its application in dimensional synthesis of a four-bar linkage","volume":"95","year":"2016","journal-title":"Mech. Mach. Theory"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Mart\u00ednez-Alfaro, H. (2007). Four-Bar Mechanism Synthesis for n Desired Path Points Using Simulated Annealing, Springer.","DOI":"10.1007\/978-3-540-72960-0_2"},{"key":"ref_7","first-page":"18","article-title":"A method for optimal path synthesis of four-link planar mechanisms","volume":"23","year":"2015","journal-title":"Inverse Probl. Sci. Eng."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1080\/14484846.2022.2066848","article-title":"A novel approach for optimal synthesis of path generator four-bar planar mechanism using improved harmony search algorithm","volume":"22","author":"Qaiyum","year":"2022","journal-title":"Aust. J. Mech. Eng."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Sanchez-Marquez, A., Vega-Alvarado, E., Portilla-Flores, E.A., and Mezura-Montes, E. (October, January 29). Synthesis of a planar four-bar mechanism for position control using the harmony search algorithm. Proceedings of the 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), Ciudad del Carmen, Mexico. Available online: http:\/\/ieeexplore.ieee.org\/document\/6978286\/.","DOI":"10.1109\/ICEEE.2014.6978286"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1177\/0954406220983369","article-title":"A novel optimization-based method to find multiple solutions for path synthesis of planar four-bar and slider-crank mechanisms","volume":"235","author":"Zarkandi","year":"2021","journal-title":"J. Mech. Eng. Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"014501","DOI":"10.1115\/1.4041566","article-title":"An Optimal Parametrization Scheme for Path Generation Using Fourier Descriptors for Four-Bar Mechanism Synthesis","volume":"19","author":"Sharma","year":"2019","journal-title":"J. Comput. Inf. Sci. Eng."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"43","DOI":"10.5194\/ms-12-443-2021","article-title":"Mixed synthesis method of motion and path of planar four-bar linkages","volume":"12","author":"Wu","year":"2021","journal-title":"Mech. Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/s12206-015-0426-1","article-title":"A novel algorithm for kinematic and dynamic optimal synthesis of planar four-bar mechanisms with joint clearance","volume":"29","author":"Daniali","year":"2015","journal-title":"J. Mech. Sci. Technol."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Wang, B., Du, X., Ding, J., Dong, Y., Wang, C., and Liu, X. (2021). The Synthesis of Planar Four-Bar Linkage for Mixed Motion and Function Generation. Sensors, 21.","DOI":"10.3390\/s21103504"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"064504","DOI":"10.1115\/1.4044544","article-title":"On the Solution of Eight-Precision-Point Path Synthesis of Planar Four-Bar Mechanisms Based on the Solution Region Methodology","volume":"11","author":"Han","year":"2019","journal-title":"J. Mech. Robot."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1080\/17415977.2014.890615","article-title":"Variable step-size numerical atlas method for path generation of spherical four-bar crank-slider mechanism","volume":"23","author":"Sun","year":"2015","journal-title":"Inverse Probl. Sci. Eng."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1016\/j.mechmachtheory.2008.04.011","article-title":"Optimized five-bar linkages with non-circular gears for exact path generation","volume":"44","author":"Mundo","year":"2009","journal-title":"Mech. Mach. Theory"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1299\/jsmec.47.345","article-title":"Kinematic Synthesis of Planar Five-Bar Mechanisms for Multi-Phase Motion Generation","volume":"47","author":"Russell","year":"2004","journal-title":"JSME Int. J. Ser. C"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1080\/17415977.2020.1745792","article-title":"A synthesis method for path generation of a planar five-bar mechanism based on dynamic self-adaptive atlas database","volume":"28","author":"Sun","year":"2020","journal-title":"Inverse Probl. Sci. Eng."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"105500","DOI":"10.1016\/j.engappai.2022.105500","article-title":"Synthesis of a six-bar mechanism for generating knee and ankle motion trajectories using deep generative neural network","volume":"117","author":"Kapsalyamov","year":"2021","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"103650","DOI":"10.1016\/j.mechmachtheory.2019.103650","article-title":"Path generation with dwells in the optimum dimensional synthesis of Stephenson III six-bar mechanisms","volume":"144","author":"Soberanis","year":"2020","journal-title":"Mech. Mach. Theory"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1080\/17415977.2018.1469627","article-title":"Synthesis of multiple tasks of a planar six-bar mechanism by wavelet series","volume":"27","author":"Sun","year":"2019","journal-title":"Inverse Probl. Sci. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/j.mechmachtheory.2019.04.013","article-title":"Appropriate analysis of the four-bar linkage","volume":"139","author":"Pickard","year":"2019","journal-title":"Mech. Mach. Theory"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"722","DOI":"10.1080\/21642583.2022.2110541","article-title":"Segmentation and weight prediction of grape ear based on SFNet-ResNet18","volume":"10","author":"Liang","year":"2022","journal-title":"Syst. Sci. Control Eng."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1145\/3065386","article-title":"ImageNet classification with deep convolutional neural networks","volume":"60","author":"Krizhevsky","year":"2017","journal-title":"Commun. ACM"},{"key":"ref_26","unstructured":"Simonyan, K., and Zisserman, A. (2015). Very Deep Convolutional Networks for Large-Scale Image Recognition. arXiv."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., and Sun, J. (2015). Deep Residual Learning for Image Recognition. arXiv.","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/17\/8\/324\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T15:22:53Z","timestamp":1760109773000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/17\/8\/324"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,25]]},"references-count":27,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2024,8]]}},"alternative-id":["a17080324"],"URL":"https:\/\/doi.org\/10.3390\/a17080324","relation":{},"ISSN":["1999-4893"],"issn-type":[{"type":"electronic","value":"1999-4893"}],"subject":[],"published":{"date-parts":[[2024,7,25]]}}}