2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)最新文献_第4页

A Review on Deep Learning UAV Systems for Visual Obstacle Detection in Crop Environments 农作物环境下用于视觉障碍检测的深度学习无人机系统研究进展

2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2021-11-01 DOI: 10.1109/ICMEAE55138.2021.00024

Alexandra Romero-Lugo, A. Magadán-Salazar, J. Fuentes-Pacheco, R. Pinto-Elías, J. Ruiz-Ascencio

引用次数: 0

The Implications of Linguistic Characteristics in the Definition of a Learning Model 语言特征在学习模式定义中的意义

2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2021-11-01 DOI: 10.1109/ICMEAE55138.2021.00039

Diego Uribe, Enrique Cuan, E. Urquizo

引用次数: 0

Orthogonalization Principle for Haptic Interaction 触觉交互的正交化原理

2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2021-11-01 DOI: 10.1109/ICMEAE55138.2021.00020

J. Ramirez-Zamora, O. Dominguez-Ramirez, G. Sepúlveda-Cervantes, M. I. Rivera-Gonzalez

{"title":"Orthogonalization Principle for Haptic Interaction","authors":"J. Ramirez-Zamora, O. Dominguez-Ramirez, G. Sepúlveda-Cervantes, M. I. Rivera-Gonzalez","doi":"10.1109/ICMEAE55138.2021.00020","DOIUrl":"https://doi.org/10.1109/ICMEAE55138.2021.00020","url":null,"abstract":"Haptic exploration for high precision applications such as surgical training stations, represent a challenge in kinesthetic force feedback methods with deformable virtual objects. In this contribution, a methodology to compute the contact forces for haptic interfaces with high performance, is presented to define the force in the human interaction with the virtual environment. To this end, the method is based on the orthogonal decomposition principle applied to robot force controllers, in this case, to generate deformable viscoelastic and tangent friction properties on the virtual surface, during haptic exploration. The dynamics of the normal plane is defined by a spring-damper system, and the dynamics of the tangent plane from a viscous-Coulomb friction model. The experimental platform corresponds to a haptic device based on the impedance principle (compute of force as a function of the movement) of 6 degrees of freedom, 3 degrees of freedom fully actuated for position and force control. The interaction task consists of two phases: i) numerical validation in Matlab, the forward and inverse kinematics of the position and veocity of the haptic device are used., and ii) validation in a virtual environment programmed in CHAI 3D and Visual C++, described by a virtual sphere with deformable and tangent dynamics.","PeriodicalId":188801,"journal":{"name":"2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122271113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Extraction of features of kinesthetic activities in the upper limb from EEG recordings based on sub-band analysis with wavelet transform for the control of robotic assistance systems 基于小波变换子带分析的上肢动觉活动特征提取在机器人辅助系统控制中的应用

2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2021-11-01 DOI: 10.1109/ICMEAE55138.2021.00023

Jesus Garcia-Blancas, O. Dominguez-Ramirez, E. Rodríguez-Torres, L. Ramos-Velasco, Jose F. Martinez-Lendech

{"title":"Extraction of features of kinesthetic activities in the upper limb from EEG recordings based on sub-band analysis with wavelet transform for the control of robotic assistance systems","authors":"Jesus Garcia-Blancas, O. Dominguez-Ramirez, E. Rodríguez-Torres, L. Ramos-Velasco, Jose F. Martinez-Lendech","doi":"10.1109/ICMEAE55138.2021.00023","DOIUrl":"https://doi.org/10.1109/ICMEAE55138.2021.00023","url":null,"abstract":"In the literature, findings of movement and force control of non-intrusive robotic assistance systems have been reported, based on the processing of electroencephalogram (EEG) recordings and the conditioning of the control strategy. However, the collection of signals in the cerebral cortex may not represent the set point defined in the cerebellum, particularly in post-cerebral stroke patients. The present study reports a new proposal inspired by human intention of a gross motor action assisted by a robotic platform. For this, a BCI (Brain-Computer Interface) system is used, based on the instrumentation of EEG signals, specifically from the cerebral cortex, and its digital processing using wavelet multiresolution analysis for the detection of features associated with real and imagined kinesthetic tasks, such as: upper limb movement and manipulation of objects. The main result is associated with the position control of a direct current motor and the motion control of a 2 DOF manipulator robot, with a high performance adaptive wavenet PID control for stabilization of non-linear MIMO (Multiple Inputs Multiple Outputs) systems.","PeriodicalId":188801,"journal":{"name":"2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125966835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Virtual Gait Visualization based on Geometric Kinematics 基于几何运动学的虚拟步态可视化

2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2021-11-01 DOI: 10.1109/ICMEAE55138.2021.00008

J. González-Islas, O. Dominguez-Ramirez, O. López-Ortega, Arturo Curiel-Anaya, Abigail Jimenez-Oropeza, Rene-Daniel Paredes-Bautista

引用次数: 0

Design of a Flexible Array-Based Displacement Amplifier for Capacitive Accelerometers 电容式加速度计柔性阵列位移放大器的设计

2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2021-11-01 DOI: 10.1109/ICMEAE55138.2021.00046

M. Tecpoyotl-Torres, F. A. Martinez-Garcia, R. Cabello Ruiz

引用次数: 0

Object classification in urban environments for autonomous navigation 面向自主导航的城市环境目标分类

2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2021-11-01 DOI: 10.1109/ICMEAE55138.2021.00019

J. Cardenas-Cornejo, M. Ibarra-Manzano, D. Almanza-Ojeda

{"title":"Object classification in urban environments for autonomous navigation","authors":"J. Cardenas-Cornejo, M. Ibarra-Manzano, D. Almanza-Ojeda","doi":"10.1109/ICMEAE55138.2021.00019","DOIUrl":"https://doi.org/10.1109/ICMEAE55138.2021.00019","url":null,"abstract":"Depending on the environment, urban, office or home, different objects can be identified in the scene during machine-human interaction. An essential task to facilitate object recognition in natural scenes is image segmentation, due to segmented regions can be analyzed separately. In this work, we propose the classification of objects in urban context images using image segmentation and convolutional neural networks (CNNs). A training set was created by extracting patches in color images of the Kitti-360 database, operating as a reference the semantic images for only encircling the object of interest. Eight categories of everyday objects found commonly in urban places were selected. Different CNN models were trained using our gathered set. During experimental tests, a segmentation approach based on CIELab and complex-space was used to provide the most representative regions of the image. Selected bounding boxes are classified per image instead of the whole image. Our classification results show high-accuracy values using images of small size but strategically selected based on the segmented image.","PeriodicalId":188801,"journal":{"name":"2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124036320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A practical monitoring system for measuring kinetical variables of semi- professional athletes 一种实用的测量半职业运动员运动变量的监测系统

2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2021-11-01 DOI: 10.1109/ICMEAE55138.2021.00031

Andres E. Hurtado-Perez, Fausto F. Ortiz-Gutierrez, I. A. Cruz-Albarrán, Jesus A. Basurto-Hurtado, M. Toledano-Ayala, Arely G. Morales-Hernandez, J. R. Razo-Hernandez, C. Perez-Ramirez

引用次数: 0

Modeling and Prediction of Welded Joints Lifetimes by GMAW Process Using Maximum Entropy Regression Model 基于最大熵回归模型的GMAW焊接接头寿命建模与预测

2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2021-11-01 DOI: 10.1109/ICMEAE55138.2021.00036

Marco A. Fuentes-Huerta, D. González-González, R. Praga-Alejo, Georgina Solis-Rodriguez

{"title":"Modeling and Prediction of Welded Joints Lifetimes by GMAW Process Using Maximum Entropy Regression Model","authors":"Marco A. Fuentes-Huerta, D. González-González, R. Praga-Alejo, Georgina Solis-Rodriguez","doi":"10.1109/ICMEAE55138.2021.00036","DOIUrl":"https://doi.org/10.1109/ICMEAE55138.2021.00036","url":null,"abstract":"Accelerated life testing is a technique that is widely used to get timely reliability information on materials, components, and systems. The regression classic models related to accelerated testing have been developed during the last years. Commonly, these models are used to make inference and reliability analysis about systems due to their characteristics. However, the Generalized Maximum Entropy (GME) model is a powerful method for modeling complex welding engineering processes. GME offers the advantage of fast calibration and it is possible to make accurate predictions about the fatigue of welded joints. The prediction rates for classic models are compared with MEM using different functions. This method achieves better overall performance than robust regression in measures such as R2. Fatigue testing data of welded joints by Gas Metal Arc Welding (GMAW) process are used, the MEM showed best results. In order to predict lifetimes of welded joints and these could be used to establish the warranty time.","PeriodicalId":188801,"journal":{"name":"2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"488 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116815572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SCOMA hand prosthetic 脑缺血手假体

2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2021-11-01 DOI: 10.1109/ICMEAE55138.2021.00044

C. García, A. Reyes, Monserrat Canul, Octavio Gurza, Sebastian Cruzado, Joaquin Diaz, J. Brieva, E. Moya-Albor, Hiram Ponce

{"title":"SCOMA hand prosthetic","authors":"C. García, A. Reyes, Monserrat Canul, Octavio Gurza, Sebastian Cruzado, Joaquin Diaz, J. Brieva, E. Moya-Albor, Hiram Ponce","doi":"10.1109/ICMEAE55138.2021.00044","DOIUrl":"https://doi.org/10.1109/ICMEAE55138.2021.00044","url":null,"abstract":"SCOMA Prosthetic Hand is a robotic hand that can give to the patient the ability to resume a good part of their daily activities. It is not only designed to resume daily activities, but also to improve the mental health of the patient. Worldwide, each year the number of amputees increases from 150,000 to 200,000 in which 30% of these amputees have suffered an upper limb amputation but only between 27% and 44% of them use arm prostheses. There are many reasons behind this, but some aspects to consider about existing prostheses are: uncomfortable, very expensive, have a robotic appearance, or need invasive procedures to fit patients. In our proposal we used the mechatronic design methodology and the data from the Amputee Coalition to create a new hand prosthesis. We analyzed it through different studies such as SWOT diagrams, quality matrix, goal tree and pairwise comparison matrix and simulation tests. In addition, we tested a 3D printing to find a suitable design and the most assertive components. By building the robotic hand with cheaper, more common components and limited functions, we can offer to the patients a comfortable prosthesis and a new more realistic option than those offer on the market. This prosthesis have limited functions but can be accessible to many people and the design could be improved in the future easily.","PeriodicalId":188801,"journal":{"name":"2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114888080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0