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2020 13th International Conference on Human System Interaction (HSI)最新文献

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Design aspects of a low-cost prosthetic arm for people with severe movement disabilities 为有严重运动障碍的人设计的低成本假肢
2020 13th International Conference on Human System Interaction (HSI) Pub Date : 2020-06-01 DOI: 10.1109/HSI49210.2020.9142647
Tomasz Kocejko, Radoslaw Weglerski, T. Zubowicz, J. Rumiński, J. Wtorek, K. Arminski
{"title":"Design aspects of a low-cost prosthetic arm for people with severe movement disabilities","authors":"Tomasz Kocejko, Radoslaw Weglerski, T. Zubowicz, J. Rumiński, J. Wtorek, K. Arminski","doi":"10.1109/HSI49210.2020.9142647","DOIUrl":"https://doi.org/10.1109/HSI49210.2020.9142647","url":null,"abstract":"In this paper the main aspects of mechanical design behind the low-cost prosthetic arm are presented. The fundamentals of a proper design has been defined to obtain functional 3D printed 5 degree of freedom (DOF) prosthesis. The designed prosthetic arm is a part of the hybrid interface with eye tracking movement control. The main focus was to create affordable but usable prosthesis which corresponds in size and weights to the human arm. The iterative process (starting from the final segment of the arm) was used to design fully functioning arm. All the elements were evaluated regarding total weight and the maximum load that can be carried by the arm. The result of this work is a prototype that weighs below 6kg and has a range of motion comparable to the human's arm. Final product is able to freely move an object of a total weight of 1 kg. All the mechanical parts of the designed arm were 3D printed which therefore presented construction can be adopted by people with different disabilities and (when connected to interfaces like EEG, EMG or eye tracking) provide support in everyday life activities.","PeriodicalId":371828,"journal":{"name":"2020 13th International Conference on Human System Interaction (HSI)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132997806","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
Accelerate Deep Learning in IoT: Human-Interaction Co-Inference Networking System for Edge 加速物联网中的深度学习:面向边缘的人机交互协同推理网络系统
2020 13th International Conference on Human System Interaction (HSI) Pub Date : 2020-06-01 DOI: 10.1109/HSI49210.2020.9142631
Chaofeng Zhang, M. Dong, K. Ota
{"title":"Accelerate Deep Learning in IoT: Human-Interaction Co-Inference Networking System for Edge","authors":"Chaofeng Zhang, M. Dong, K. Ota","doi":"10.1109/HSI49210.2020.9142631","DOIUrl":"https://doi.org/10.1109/HSI49210.2020.9142631","url":null,"abstract":"As the core technology of the artificial intelligence in the new era, AI technology applied in health care devices has received significant attention. However, due to the limitation of the power supply and computation resource, it is difficult to implement a stable and large AI based human interaction task processing system from the remote edge devices to the centered clouds. In this paper, we propose a holistic network solution that focuses on solving the potential problems of network congestion with the explosive growth of IoT health care devices supported AI inference tasks. First, we propose a multi-hop maximum weight network to describe a DNN inference network based on edge computing. Then, we propose a Maximum Weight Wave propulsion Algorithm (MWWP) algorithm to reduce the overall network latency. Finally, we build up a prototype of a distributed AI inference system and test the computation and transmission performance. Besides, through large-scale experiments, we prove the optimality of our holistic solution.","PeriodicalId":371828,"journal":{"name":"2020 13th International Conference on Human System Interaction (HSI)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115613340","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: 4
Blood Pressure - Pulse Transit Time Relationships: Comparative Studies 血压-脉搏传递时间关系:比较研究
2020 13th International Conference on Human System Interaction (HSI) Pub Date : 2020-06-01 DOI: 10.1109/HSI49210.2020.9142673
A. Poliński, A. Bujnowski, Tomasz Kocejko, J. Wtorek
{"title":"Blood Pressure - Pulse Transit Time Relationships: Comparative Studies","authors":"A. Poliński, A. Bujnowski, Tomasz Kocejko, J. Wtorek","doi":"10.1109/HSI49210.2020.9142673","DOIUrl":"https://doi.org/10.1109/HSI49210.2020.9142673","url":null,"abstract":"A non-invasive and continuous blood pressure estimation could allow a better diagnosis and an earlier detection of various diseases. It could be performed using a photoplethysmog-raphy. However, it requires that a relation between blood pressure and pulse transit time is known. Eleven theoretical formulas were used in obtaining the simulated and noise free synthetic data. Then, they were utilized in validation of three, commonly used, formulas for blood pressure estimation. Finally, the best one was indicated.","PeriodicalId":371828,"journal":{"name":"2020 13th International Conference on Human System Interaction (HSI)","volume":"12 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120903697","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
Deep learning-based explainable target classification for synthetic aperture radar images 基于深度学习的合成孔径雷达图像可解释目标分类
2020 13th International Conference on Human System Interaction (HSI) Pub Date : 2020-06-01 DOI: 10.1109/HSI49210.2020.9142658
Mandeep, H. Pannu, A. Malhi
{"title":"Deep learning-based explainable target classification for synthetic aperture radar images","authors":"Mandeep, H. Pannu, A. Malhi","doi":"10.1109/HSI49210.2020.9142658","DOIUrl":"https://doi.org/10.1109/HSI49210.2020.9142658","url":null,"abstract":"Deep learning has been extensively useful for its ability to mimic the human brain to make decisions. It is able to extract features automatically and train the model for classification and regression problems involved with complex images databases. This paper presents the image classification using Convolutional Neural Network (CNN) for target recognition using Synthetic-aperture Radar (SAR) database along with Explainable Artificial Intelligence (XAI) to justify the obtained results. In this work, we experimented with various CNN architectures on the MSTAR dataset, which is a special type of SAR images. Accuracy of target classification is almost 98.78% for the underlying preprocessed MSTAR database with given parameter options in CNN. XAI has been incorporated to explain the justification of test images by marking the decision boundary to reason the region of interest. Thus XAI based image classification is a robust prototype for automatic and transparent learning system while reducing the semantic gap between soft-computing and humans way of perception.","PeriodicalId":371828,"journal":{"name":"2020 13th International Conference on Human System Interaction (HSI)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116431686","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: 12
Presenting Braille Information on Two Fingers Using Vibratory Patterns from an Array of Shape-memory Alloys 利用一组形状记忆合金的振动模式在两根手指上呈现盲文信息
2020 13th International Conference on Human System Interaction (HSI) Pub Date : 2020-06-01 DOI: 10.1109/HSI49210.2020.9142676
Nuttasorn Aiemsetthee, H. Sawada
{"title":"Presenting Braille Information on Two Fingers Using Vibratory Patterns from an Array of Shape-memory Alloys","authors":"Nuttasorn Aiemsetthee, H. Sawada","doi":"10.1109/HSI49210.2020.9142676","DOIUrl":"https://doi.org/10.1109/HSI49210.2020.9142676","url":null,"abstract":"In this study, a wearable Braille display is developed to present Braille information on two fingers (an index finger and a middle finger). We use shape-memory alloy (SMA) wires as an actuator that generates micro-vibration by applying pulse current. Possible vibrating patterns are firstly examined to find the best frequency and timing for presenting Braille information on two fingers. The display has six dots to present one Braille character at one time. For Braille presentation, the actuators in the display are driven by pulse current with the same or different frequencies and different time durations. In addition, to increase recognition rate, we add a button by which a subject starts or restarts Braille presentation. Users' experiments are conducted to verify the ability of the Braille display.","PeriodicalId":371828,"journal":{"name":"2020 13th International Conference on Human System Interaction (HSI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122681656","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
Eye Tracking and Measurement of Eye Rotation Using a Small Camera Installed roughly next to the Eye 眼动追踪和测量使用安装在眼睛旁边的小摄像头
2020 13th International Conference on Human System Interaction (HSI) Pub Date : 2020-06-01 DOI: 10.1109/HSI49210.2020.9142662
K. Hoshino, Yuki Noguchi, Nayuta Ono
{"title":"Eye Tracking and Measurement of Eye Rotation Using a Small Camera Installed roughly next to the Eye","authors":"K. Hoshino, Yuki Noguchi, Nayuta Ono","doi":"10.1109/HSI49210.2020.9142662","DOIUrl":"https://doi.org/10.1109/HSI49210.2020.9142662","url":null,"abstract":"Because the eyeball is a sphere, the pupil center coordinate is distorted and this caused the issue of low eye tracking accuracy with the dark pupil eye tracking. The authors introduce a new eye tracking method that does not reduce the accuracy of estimates even when the pupil camera is installed roughly next to the human eye. In this method, the user is asked to look at a minimum of six points of light that include the corners of a pentagon that is slanted towards the inside corner of the eye and the center of gravity of that pentagon. The authors also introduce a method to measure eye rotation by using a camera fixed in the same manner as the aforementioned eye tracking. This method uses the characteristic images of the blood vessels in the whites of the eyeball. A template image is selected based on three criteria: First, the blood vessel must be thick and have good dark/light contrast; second, there must not be any external light sources reflected; and third, there must not be blood vessels with a similar shape nearby.","PeriodicalId":371828,"journal":{"name":"2020 13th International Conference on Human System Interaction (HSI)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127324409","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
Online Proceedings 2020 13th International Conference on Human System Interaction (HSI) 2020年第13届人类系统交互国际会议(HSI)
2020 13th International Conference on Human System Interaction (HSI) Pub Date : 2020-06-01 DOI: 10.1109/hsi49210.2020.9142681
{"title":"Online Proceedings 2020 13th International Conference on Human System Interaction (HSI)","authors":"","doi":"10.1109/hsi49210.2020.9142681","DOIUrl":"https://doi.org/10.1109/hsi49210.2020.9142681","url":null,"abstract":"Abstracting is permitted with credit to the source. Libraries are permitted to photocopy beyond the limit of U.S. copyright law for private use of patrons those articles in this volume that carry a code at the bottom of the first page, provided the per-copy fee indicated in the code is paid through Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923. For other copying, reprint or republication permission, write to IEEE Copyrights Manager, IEEE Operations Center, 445 Hoes Lane, Piscataway, NJ 08854. All rights reserved. Copyright ©2020 by IEEE.","PeriodicalId":371828,"journal":{"name":"2020 13th International Conference on Human System Interaction (HSI)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126303581","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
Time Drift Compensation Method on Multiple Wireless Motion Capture Nodes 多无线运动捕捉节点的时间漂移补偿方法
2020 13th International Conference on Human System Interaction (HSI) Pub Date : 2020-06-01 DOI: 10.1109/HSI49210.2020.9142648
Zeyang Dai, Chenghong Lu, Lei Jing
{"title":"Time Drift Compensation Method on Multiple Wireless Motion Capture Nodes","authors":"Zeyang Dai, Chenghong Lu, Lei Jing","doi":"10.1109/HSI49210.2020.9142648","DOIUrl":"https://doi.org/10.1109/HSI49210.2020.9142648","url":null,"abstract":"As we known, time synchronization is a crucial component of wireless sensor networks (WSNs), especially when performing the operation such as data fusion. In this paper, we revisit this problem for our proposed wireless motion capture (MoCap) nodes, namely WonderSense (WS), and present an easy and economical way to compensate time drift. We first explain the work principles of the proposed nodes. This part includes the overview of the device, and the approach to compensate the time drift for the built MoCap system. Then, the extended Kalman filter (EKF) for attitude estimation is implemented and briefly described. At last, several experiments are conducted to verify the feasibility of the time drift compensation method and validate the time drift compensated MoCap system during human walking. Results indicate that, on one hand, the proposed time drift compensation method is feasible, on the other hand, it is proved that the time drift compensated MoCap system is viable and reliable.","PeriodicalId":371828,"journal":{"name":"2020 13th International Conference on Human System Interaction (HSI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117115264","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 Universal Data Interoperability in Networked Belief Models 面向网络信念模型的通用数据互操作性
2020 13th International Conference on Human System Interaction (HSI) Pub Date : 2020-06-01 DOI: 10.1109/HSI49210.2020.9142670
A. Bramson
{"title":"Toward Universal Data Interoperability in Networked Belief Models","authors":"A. Bramson","doi":"10.1109/HSI49210.2020.9142670","DOIUrl":"https://doi.org/10.1109/HSI49210.2020.9142670","url":null,"abstract":"An increasing number of applications in the sensor fusion, internet of things, knowledge processing, graph database, and networked information fields (e.g. Markov models, Bayesian networks, semantic webs) require (1) integrating confidence levels with probability processing and/or (2) belief representations other than the dominant probabilistic approach. Although alternatives such as fuzzy sets and Dempster-Shafer theory exist, the techniques to update belief levels, combine beliefs, and losslessly convert one form of belief into others are currently fragmented and inadequate. Our goal is to develop the capabilities to (1) translate among multiple belief representations and (2) update beliefs and confidence levels in a consistent manner across representations. The proposed solution utilizes an integrated belief meta-structure into which, and from which, all types of belief models can be converted. This method tracks the conceptually distinct components separately, but fosters their interaction where appropriate. In this way, even measures which are conceptually incommensurable will become interoperable in practice. We first describe the various types of belief representations divided into measures of credence and measures of confidence, then we discuss the challenges of translating and combining them, and finally outline the belief meta-structure used for interoperability.","PeriodicalId":371828,"journal":{"name":"2020 13th International Conference on Human System Interaction (HSI)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122085383","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
AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation 可信赖AI的AI增强:增强机器人远程操作
2020 13th International Conference on Human System Interaction (HSI) Pub Date : 2020-06-01 DOI: 10.1109/HSI49210.2020.9142659
Daniel L. Marino, J. Grandio, Chathurika S. Wickramasinghe, Kyle Schroeder, K. Bourne, A. V. Filippas, M. Manic
{"title":"AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation","authors":"Daniel L. Marino, J. Grandio, Chathurika S. Wickramasinghe, Kyle Schroeder, K. Bourne, A. V. Filippas, M. Manic","doi":"10.1109/HSI49210.2020.9142659","DOIUrl":"https://doi.org/10.1109/HSI49210.2020.9142659","url":null,"abstract":"Despite the performance of state-of-the-art Artificial Intelligence (AI) systems, some sectors hesitate to adopt AI because of a lack of trust in these systems. This attitude is prevalent among high-risk areas, where there is a reluctance to remove humans entirely from the loop. In these scenarios, Augmentation provides a preferred alternative over complete Automation. Instead of replacing humans, AI Augmentation uses AI to improve and support human operations, creating an environment where humans work side by side with AI systems. In this paper, we discuss how AI Augmentation can provide a path for building Trustworthy AI. We exemplify this approach using Robot Teleoperation. We lay out design guidelines and motivations for the development of AI Augmentation for Robot Teleoperation. Finally, we discuss the design of a Robot Teleoperation testbed for the development of AI Augmentation systems.","PeriodicalId":371828,"journal":{"name":"2020 13th International Conference on Human System Interaction (HSI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131927038","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: 4
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