2022 International Conference on Machine Learning and Cybernetics (ICMLC)最新文献_第2页

Time Series Knee Joint Angle Analysis During Gait for Patients with Down Syndrome by 3d Pose Estimation 基于三维姿态估计的唐氏综合征患者步态时间序列膝关节角度分析

2022 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2022-09-09 DOI: 10.1109/ICMLC56445.2022.9941317

Kohei Hayashi, N. Yagi, Yutaka Hata, Yoshiaki Saji, Y. Sakai

{"title":"Time Series Knee Joint Angle Analysis During Gait for Patients with Down Syndrome by 3d Pose Estimation","authors":"Kohei Hayashi, N. Yagi, Yutaka Hata, Yoshiaki Saji, Y. Sakai","doi":"10.1109/ICMLC56445.2022.9941317","DOIUrl":"https://doi.org/10.1109/ICMLC56445.2022.9941317","url":null,"abstract":"Down syndrome is the most common chromosomal abnormality. In recent years, the frequency of births with Down syndrome has been increasing in Japan. One of the reasons for this is the trend toward late childbearing. Many children with Down syndrome often have gait problems such as Genu valgum and Genu varum. In order to solve such gait problems, custom- made insoles need to be created. This is because the shape of the feet and the way of walking vary from patient to patient. In addition, it is necessary to investigate whether these custom-made insoles are suitable for the patients with Down syndrome or not. Currently, the evaluation is done visually by doctors and physical therapists, however the criteria for judgment are unclear. Therefore, we worked to develop a system to determine whether custom-made insoles would improve Genu valgum and Genu varum. Since the children with Down syndrome rarely walk straight when taking gait videos, we focused on performing gait analysis in 3D instead of 2D, which has been performed previously. In this study, we estimated the joint position coordinates of a person from a walking video using 3D pose estimation in order to quantitatively evaluate the gait condition of children with Down syndrome. Additionally, by detecting the time of knee joint loading and measuring the knee joint angle, we were able to propose a system that can confirm symptoms such as genu valgum and genu varum. This system is expected to be easier than the existing 3D analyzers for gait analysis of patients with Down syndrome. As a future work, the accuracy of the system itself needs to be evaluated using an existing 3D motion analyzer that measures with markers.","PeriodicalId":117829,"journal":{"name":"2022 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129619372","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: 1

Tooth Recognition in X-Ray Dental Panoramic Images with Prosthetic Detection 基于假体检测的x射线牙齿全景图像中的牙齿识别

2022 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2022-09-09 DOI: 10.1109/ICMLC56445.2022.9941333

Kazunori Oka, Anas M. Ali, Daisuke Fujita, Syoji Kobashi

引用次数: 1

A Development of Kohs Block Design Test in Virtual Reality with Eye Tracking and Hand Tracking 基于眼动跟踪和手动跟踪的虚拟现实Kohs块设计测试的开发

2022 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2022-09-09 DOI: 10.1109/ICMLC56445.2022.9941285

Kensuke Shigenaga, K. Nagamune

引用次数: 2

Investigation of Inspection Methods in Acoustic Analysis Using Pronunciation Feature Extraction 语音特征提取声学分析检测方法研究

2022 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2022-09-09 DOI: 10.1109/ICMLC56445.2022.9941300

N. Yagi, Yutaka Hata, Y. Sakai

引用次数: 0

Deep Learning for Automatic Road Marking Detection with Yolov5 基于Yolov5的深度学习道路标记自动检测

2022 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2022-09-09 DOI: 10.1109/ICMLC56445.2022.9941313

Rung-Ching Chen, Yong-Cun Zhuang, Jeang-Kuo Chen, Christine Dewi

引用次数: 1

Alternative Methods of Translational Gains by Viewpoint Manipulation in the Pitch Direction 在俯仰方向上通过视点操纵获得平移增益的替代方法

2022 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2022-09-09 DOI: 10.1109/ICMLC56445.2022.9941339

Yudai Ishikawa, K. Tagawa, Hideaki Touyama

{"title":"Alternative Methods of Translational Gains by Viewpoint Manipulation in the Pitch Direction","authors":"Yudai Ishikawa, K. Tagawa, Hideaki Touyama","doi":"10.1109/ICMLC56445.2022.9941339","DOIUrl":"https://doi.org/10.1109/ICMLC56445.2022.9941339","url":null,"abstract":"This paper proposes a new method of translational manipulation for redirected walking through pitch-oriented viewpoint manipulation, which is known to change the walking speed of a user. Pitch viewpoint manipulation adds a slope to the virtual reality environment. In reality, walking on a slope increases or decreases the walking speed, and this study conducts an investigation based on the assumption that similar fluctuations would occur in a virtual reality environment. Through an experiment, the variation in walking speed by dynamically manipulating the viewpoint in the pitch direction for a 5 m walking section, and the perception threshold, which is the range in which the viewpoint can be manipulated without being noticed by the user, were investigated. The results showed that the walking speed significantly decreased with pitch gains of -0.5° in the downward direction, and 3° and 5° in the upward direction. It was discovered that perceptual thresholds of 0.17° and -1.12° in the upward and downward directions, respectively, were imperceptible, indicating that the viewpoint could be manipulated without being perceived.","PeriodicalId":117829,"journal":{"name":"2022 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116293886","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: 1

A Dynamic Immune Strategy for Blocking the Spreading of Worms in Vanets 一种动态免疫策略阻止昆虫在叶片中的传播

2022 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2022-09-09 DOI: 10.1109/ICMLC56445.2022.9941292

Yuxin Ding, Huang Ningxin, Wenting Xu

{"title":"A Dynamic Immune Strategy for Blocking the Spreading of Worms in Vanets","authors":"Yuxin Ding, Huang Ningxin, Wenting Xu","doi":"10.1109/ICMLC56445.2022.9941292","DOIUrl":"https://doi.org/10.1109/ICMLC56445.2022.9941292","url":null,"abstract":"Currently VANETs still face many serious security issues. One of which is attacks from worms. To prevent the propagation of worms, different immune strategies have been proposed. One problem with these strategies is that they adopt a greedy strategy or random strategy to select immune nodes. These strategies do not consider the dynamic changes of the network topology caused by vehicle movement, which means that the strategies cannot effectively prevent a worm from spreading. In this paper, we propose a dynamic immune strategy. Considering the dynamic changes of VANETs, we use machine learning methods to predict vehicle positions at the next moment and combine the position information of vehicles at different times to evaluate the influence of a vehicle. We provide a method for computing the influence of vehicles. The vehicles with a large influence are selected as immune nodes. We compare the proposed immune strategy with several typical strategies, preemptive immunization, interactive immunization, blacklist isolation and degree immunization. The results show that the proposed method can prevent the spread of worms more effectively than existing techniques.","PeriodicalId":117829,"journal":{"name":"2022 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116451823","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: 1

Toward Prediction of Traffic Accidents Using Formal Concept Analysis of Actual Accidents and Related Data 利用实际事故及相关数据的形式概念分析预测交通事故

2022 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2022-09-09 DOI: 10.1109/ICMLC56445.2022.9941304

Shogo Kotani, Masaki Nakamura, K. Sakakibara, Tatsuo Motoyoshi, Keisuke Hoshikawa

引用次数: 0

Gold Investment Model on RNN and Finding Best Investment Strategy on PSO 基于RNN的黄金投资模型及PSO的最佳投资策略研究

2022 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2022-09-09 DOI: 10.1109/ICMLC56445.2022.9941321

Pakamas Kanchanakantikul, S. Nootyaskool

引用次数: 0

Negative Hesitation Soft Fuzzy Sets and its Application on Decision Making Problems 负犹豫软模糊集及其在决策问题中的应用

2022 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2022-09-09 DOI: 10.1109/ICMLC56445.2022.9941306

Youpeng Yang, Sanhgyuk Lee, Haolan Zhang, W. Pedrycz

引用次数: 0