2020 IEEE International Conference on Human-Machine Systems (ICHMS)最新文献

The Inner Life of a Robot in Human-Robot Teaming 人机组队中机器人的内心生活

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209477

A. Chella, Francesco Lanza, A. Pipitone, V. Seidita

引用次数: 2

Developing Operator-in-the-loop Timeline Requirements with a Case Study involving Non-cooperative Encounters with Unmanned Aircraft 开发操作员在环时间轴要求与涉及非合作遭遇无人飞机的案例研究

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209378

Douglas W. Lee, E. Bass, C. Pankok

引用次数: 0

Information Modification for Time-Limited Decision Making 限时决策的信息修改

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209438

William I. N. Sealy, K. Feigh

引用次数: 3

An Ensemble Classification Framework Based on Latent Factor Analysis 基于潜在因素分析的集成分类框架

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209463

Xia He, Xiaoguang Lin, Di Wu, Juan Wang

引用次数: 1

Context-Aware Cyber-Physical Assistance Systems in Industrial Systems: A Human Activity Recognition Approach 工业系统中的环境感知网络物理辅助系统:一种人类活动识别方法

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209488

E. Roth, Mirco Möncks, T. Bohné, Luisa Pumplun

{"title":"Context-Aware Cyber-Physical Assistance Systems in Industrial Systems: A Human Activity Recognition Approach","authors":"E. Roth, Mirco Möncks, T. Bohné, Luisa Pumplun","doi":"10.1109/ICHMS49158.2020.9209488","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209488","url":null,"abstract":"The increasing demand for product customisation is leading to higher complexities within manufacturing. This imposes new challenges for the workforce. One way to support operators’ productivity may be context-aware, human-centred cyber-physical assistance systems. Human Activity Recognition (HAR) is a promising approach to enable context-awareness. However, standardised approaches to integrate HAR into existing manufacturing environments are rare. Particularly, there is a lack of available datasets of manufacturing activities. Moreover, comparative studies of inertial and visual HAR approaches are still rare. This work therefore proposes Methods-Time Measurement (MTM) as a standardised foundation for creating a manufacturing activity dataset. Subsequently, five different machine learning algorithms are tested for their recognition performance based on the dataset captured with an inertial sensor suit and an RGB-D sensor. A proof-of-concept is delivered for both sensor categories applied to the scope of 18 MTM-1 activities, whereas inertial data outperformed depth data. K-Nearest Neighbour and Bagged Tree algorithms revealed the best classification accuracy results in this context.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116626337","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: 3

Speech Pauses and Dialogue Acts 演讲停顿和对话行为

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209502

Costanza Navarretta

{"title":"Speech Pauses and Dialogue Acts","authors":"Costanza Navarretta","doi":"10.1109/ICHMS49158.2020.9209502","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209502","url":null,"abstract":"This study concerns the use of speech pauses, and especially breath pauses in a Danish corpus of spontaneous dyadic conversations. Speech pauses which have specific communicative functions are investigated in relation to their occurrences before and after other communicative units, all annotated and classified in the form of dialogue acts. Breath pauses have been addressed in only few studies even though they are important in communication and therefore should be accounted for when implementing human-machine dialogue systems. Dialogue acts, on the contrary, have been one of the backbones in dialogue systems since they generalize over different expressions of common communicative functions. In the current work, we describe the annotation of dialogue acts in the corpus and present an analysis of pauses using these annotations. To our best knowledge, dialogue acts have not been previously used for analyzing the functions of breath pauses. Our analysis shows that the most common type of pause having a communicative function in the Danish conversations are breath pauses. Breath pauses in the corpus have different uses, one of these being that of delimiting speech segments which are left unfinished and are then abandoned by the speaker (retractions in dialogue acts terminology) and therefore perceivable breathing can be a useful feature for determining spoken segments which must not be included in the dialogue history in human-machine dialogue systems.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123199016","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

User detection of threats with different security measures 用户检测不同安全措施的威胁

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209426

Yoav Ben Yaakov, Joachim Meyer, Xinrun Wang, Bo An

{"title":"User detection of threats with different security measures","authors":"Yoav Ben Yaakov, Joachim Meyer, Xinrun Wang, Bo An","doi":"10.1109/ICHMS49158.2020.9209426","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209426","url":null,"abstract":"Cyber attacks and the associated costs made cybersecurity a vital part of any system. User behavior and decisions are still a major part in the coping with these risks. We developed a model of optimal investment and human decisions with security measures, given that the effectiveness of each measure depends partly on the performance of the others. In an online experiment, participants classified events as malicious or non-malicious, based on the value of an observed variable. Prior to making the decisions, they had invested in three security measures - a firewall, an IDS or insurance. In three experimental conditions, maximal investment in only one of the measures was optimal, while in a fourth condition, participants should not have invested in any of the measures. A previous paper presents the analysis of the investment decisions. This paper reports users’ classifications of events when interacting with these systems. The use of security mechanisms helped participants gain higher scores. Participants benefited in particular from purchasing IDS and/or Cyber Insurance. Participants also showed higher sensitivity and compliance with the alerting system when they could benefit from investing in the IDS. Participants, however, did not adjust their behavior optimally to the security settings they had chosen. The results demonstrate the complex nature of risk-related behaviors and the need to consider human abilities and biases when designing cyber security systems.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"53 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113981565","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

Soft Exoskeleton Glove for Hand Assistance Based on Human-machine Interaction and Machine Learning 基于人机交互和机器学习的手部辅助软外骨骼手套

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209381

Xiaoshi Chen, Li Gong, Lirong Zheng, Z. Zou

{"title":"Soft Exoskeleton Glove for Hand Assistance Based on Human-machine Interaction and Machine Learning","authors":"Xiaoshi Chen, Li Gong, Lirong Zheng, Z. Zou","doi":"10.1109/ICHMS49158.2020.9209381","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209381","url":null,"abstract":"This paper proposes a human machine interaction system in the field of stroke rehabilitation, based on the concept of mirror therapy (MT). It aims to improve the hand motor function of stroke patients, enabling a true synchronization between the affected hand and non-affected hand (healthy hand) for the stroke patient. It consists of a soft exoskeleton glove, a surface electromyography (sEMG) signal collecting armband and machine learning (ML) algorithms. The glove is developed by integrating low-power motors to provide force strength for the hand movement. Unlike the rigid exoskeleton devices, the glove is comfortable to wear and lightweight, so it is more suitable for rehabilitation training of stroke patients in daily life. The armband collects the sEMG signals for pattern recognition by the ML algorithms. In the experiment, four subjects perform 10 hand gestures to collect data for model training. A comparison of data preprocessing is conducted to find the optimal data segmentation method and feature vector sets. A series of pattern recognition algorithms are developed and assessed in different aspects, including prediction accuracy, training time and predicting time. All 10 gestures can be recognized in offline mode with an accuracy up to 99.4%. The control of soft exoskeleton glove in real-time manner is also carried out, and the accuracy is 82.2%. The experiment result demonstrates the feasibility of the proposed system. The innovations and limitations of the work are discussed at the end of the paper.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126503579","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: 8

Development of a Low-cost Glove for Thumb Rehabilitation: Design and Evaluation 一种低成本拇指康复手套的研制:设计与评价

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209554

Giulia Pompili, T. L. Baldi, Davide Barcelli, D. Prattichizzo

{"title":"Development of a Low-cost Glove for Thumb Rehabilitation: Design and Evaluation","authors":"Giulia Pompili, T. L. Baldi, Davide Barcelli, D. Prattichizzo","doi":"10.1109/ICHMS49158.2020.9209554","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209554","url":null,"abstract":"The thumb plays an important role in grasping or pinching activities. After an injury, it requires a delicate rehabilitation program with a periodic presence of a specialist. Providing a home exercise program to patients is a fundamental aspect of rehabilitation. Home-based exercise program usually does not involve technological aids. In this paper, we propose a novel device that will augment rehabilitative outcomes, reducing costs, rehabilitation time, and providing opportunities for home rehabilitation with better patient compliance. The proposed system consists of an instrumented glove with a companion mobile-device application. The physical design of the glove is inspired by the Kapandji test, that we adapted positioning 14 patches on fingers and palm. A signal is sent to the Android application when a contact between the thumb and one of the other patches occurs. The system implements three different functionalities: i) thumb mobility assessment, ii) rehabilitation games, iii) in-game performance monitoring and results storage. The interface provides patients with on line information on actual performance and allows to monitor the activities by means of a smartphone. We administered two questionnaires to 15 healthy volunteers to 15 physical therapists for a qualitative analysis of our device. The overall emerging opinion about the device is remarkably positive.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126530676","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

Is Autism, Attention Deficit Hyperactivity Disorder (ADHD) and Specific Learning Disorder linked to Impaired Emotion Recognition in Primary School Aged Children? 自闭症、注意缺陷多动障碍(ADHD)和特殊学习障碍与小学学龄儿童情绪识别受损有关吗?

2020 IEEE International Conference on Human-Machine Systems (ICHMS) Pub Date : 2020-09-01 DOI: 10.1109/ICHMS49158.2020.9209413

A. Economides, Chiara Baiano, Isa Zappullo, M. Conson, Joulietta Kalli-Laouri, Y. Laouris, A. Esposito

引用次数: 0