2023 IEEE International Conference on Mechatronics (ICM)最新文献

Stable Electrocardiogram Measurement Using Capacitive-Coupled Electrodes* 电容耦合电极稳定心电图测量*

2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/icm54990.2023.10102001

Ryoto Fujita, T. Ohhira, Hideki Hashimoto

引用次数: 0

A Coil Temperature Estimation for Disk Rotor Type Brushless DC Motors 盘式转子型无刷直流电机线圈温度估计

2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/icm54990.2023.10101907

Momodayu Hattori, Subaru Murakami, T. Ohhira, H. Hashimoto

引用次数: 0

Integrated Hydromechatronic Actuators 集成液压机电致动器

2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/ICM54990.2023.10101880

A. Plummer

引用次数: 0

Drowsy Driver Detection System For Poor Light Conditions 弱光条件下疲劳驾驶检测系统

2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/ICM54990.2023.10101972

Ahmed Ibnouf, Ayman Fadlallah, Muaiz Ali, A. Zidouri

{"title":"Drowsy Driver Detection System For Poor Light Conditions","authors":"Ahmed Ibnouf, Ayman Fadlallah, Muaiz Ali, A. Zidouri","doi":"10.1109/ICM54990.2023.10101972","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10101972","url":null,"abstract":"In recent years, the number of car accidents has been gradually increasing. A major factor in this increase is the drowsiness of drivers. There are many image recognition research studies on drowsiness detection but tend to neglect the case of low-light conditions. This paper focuses on detecting drowsy drivers in low-light conditions. In this paper, a behavioralbased drowsy driver detection system (DDDS) was proposed. The proposed DDDS applies a preprocessing algorithm that improves illumination and then focuses on detecting the driver’s face and eyes to calculate eye blink duration. A deep neural network model was used for facial recognition, and Haar Cascade classifiers were used for eyes detection. Every single eye was based to a Convolutional Neural Network (CNN) model to predict its state as either ‘‘Open’’ or ‘‘Closed’’. The proposed CNN was developed using a dataset of 1452 samples and gave an accuracy of 97.92% on the testing dataset, 15% of the 1452 samples. Different case scenarios in poor light conditions were implemented to evaluate the proposed DDDS. The system was able to identify the state of the driver even in harsh and severe poor light conditions.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115071075","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

State-parameter estimation for a helical gear transmission with pitting defects 含点蚀缺陷斜齿轮传动的状态参数估计

2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/ICM54990.2023.10101989

Thijs Van der Veken, J. M. Jordan, B. Blockmans, Matteo Kirchner, F. Naets

{"title":"State-parameter estimation for a helical gear transmission with pitting defects","authors":"Thijs Van der Veken, J. M. Jordan, B. Blockmans, Matteo Kirchner, F. Naets","doi":"10.1109/ICM54990.2023.10101989","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10101989","url":null,"abstract":"During the operation cycle of geared transmissions, remaining useful lifetime predictions are key information for maintenance and future design decisions. These predictions are usually obtained by combining modelling efforts with limited sensor data. This contribution proposes an estimation method that aims to be robust to the operating conditions and the statistical properties of the introduced damage. As damage on the tooth surface causes a reduction in the gear pair mesh stiffness due to the changed contact conditions, this time-varying mesh stiffness is proposed as health indicator. The mesh stiffness is parameterized in a piecewise interpolation scheme to guarantee the local detectability of the involved parameters. The parameters are estimated concurrently with the states using an augmented extended Kalman filter. The method is applied on a single helical gear pair of an industrial gearbox, combining a lumpedparameter contact model with angular position data of both gear shafts. For the validation, virtual measurement data are generated using a gear contact model with pitting defects. The estimation results show a proof of concept and highlight the potential of the method for more complex cases.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116194585","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

Developing power-assisted two-wheeled luggage-carrying robot for stair-lifting using admittance control 基于导纳控制的电动助力两轮行李升降机器人的研制

2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/icm54990.2023.10101928

Kazu Nagaya, T. Ohhira, H. Hashimoto

引用次数: 0

H∞ Control of the Furuta Pendulum with Backlash and Analysis of the Effect of Bounded-Disturbance 带隙古田摆的H∞控制及有界扰动影响分析

2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/ICM54990.2023.10101944

Muneue Suwa, K. Hirata, Yukinori Nakamura

引用次数: 0

Preliminary Study of Object Recognition by Converting Physical Responses to Images in Two Dimensions 将物理反应转换为二维图像的目标识别的初步研究

2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/ICM54990.2023.10101938

Kazuki Yane, T. Nozaki

{"title":"Preliminary Study of Object Recognition by Converting Physical Responses to Images in Two Dimensions","authors":"Kazuki Yane, T. Nozaki","doi":"10.1109/ICM54990.2023.10101938","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10101938","url":null,"abstract":"The use of robots is desired as a replacement for human labor. However, it is difficult for robots to respond flexibly to changes in objects and environments and perform tasks. Recently, many systems have been proposed that can flexibly respond to changes by generating robot motions using machine learning. Many machine learning methods use a camera to acquire environmental information, and feature extraction is performed using images acquired from the camera using CNN (Convolutional Neural Network), CAE (Convolutional Auto Encoder), or other methods. Many methods estimate the input values in the next step by inputting the image features, position data and reaction force data acquired from the robot together into the RNN (Recurrent Neural Network), etc. However, in most cases, the relationship between the image and robot data is learned without explicitly stating it. Therefore, in this paper, the data acquired from the robot is converted to images and used in combination with images from the camera to make the interaction between the robot and the environment explicit and to improve the estimation accuracy of NNs. In simulations, the proposed method was used to perform the task of discriminating the target of motion, and the high estimation accuracy was confirmed. In the future, we plan to use this method as input data for motion generation to generate motion according to the object.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126663796","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

Control Architectures for Metamaterials in Vibration Control 振动控制中超材料的控制体系

2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/ICM54990.2023.10101931

V. F. Buskes, M. Kaczmarek, J. C. Veenstra, C. Coulais, S. Hosseinnia

{"title":"Control Architectures for Metamaterials in Vibration Control","authors":"V. F. Buskes, M. Kaczmarek, J. C. Veenstra, C. Coulais, S. Hosseinnia","doi":"10.1109/ICM54990.2023.10101931","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10101931","url":null,"abstract":"Metamaterials are artificial structures with properties that are rare or non-existent in nature. These properties are created by the geometry and interconnection of the metamaterial unit cells. In active metamaterials, sensors and actuators are embedded in each unit cell to achieve greater design freedom and tunability of properties after the fabrication. While active metamaterials have been used in vibration control applications, the influence of applied control architectures on damping performance has not been thoroughly studied yet. This paper discusses the relationship between suitable control architectures for increased damping in finite active metamaterials and the number of damped modes. A metamaterial beam consisting of links with measured and actuated joints is considered. Optimal controllers for each of the considered scenarios are designed in the modal domain using linear-quadratic regulator (LQR). We show that, when all modes of a structure should be damped, the optimal solution can be reduced to a decentralised controller. When modes in a smaller range of frequencies are targeted, distributed controllers show better performance. The results are confirmed with experiments.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123832783","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

Handheld Device Design for Robotic Teleoperation based on Multi-Sensor Fusion 基于多传感器融合的机器人遥操作手持设备设计

2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/ICM54990.2023.10102054

Lingzi Xie, Darong Huang, Zhenyu Lu, Ning Wang, Chenguang Yang

引用次数: 0