IEEE Transactions on Human-Machine Systems最新文献_第8页

ARMedicalSketch: Exploring 3D Sketching for Medical Image Using True 2D-3D Interlinked Visualization and Interaction ARMedicalSketch：探索使用真正的 2D-3D 互联可视化和交互技术绘制医学图像的 3D 草图

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-08-02 DOI: 10.1109/THMS.2024.3432735

Nan Zhang;Tianqi Huang;Hongen Liao

{"title":"ARMedicalSketch: Exploring 3D Sketching for Medical Image Using True 2D-3D Interlinked Visualization and Interaction","authors":"Nan Zhang;Tianqi Huang;Hongen Liao","doi":"10.1109/THMS.2024.3432735","DOIUrl":"10.1109/THMS.2024.3432735","url":null,"abstract":"In traditional clinical practice, doctors often have to deal with 3D information based on 2D-displayed medical images. There is a considerable mismatch between the 2D and 3D dimensions in image interaction during clinical diagnosis, making image manipulation challenging and time-consuming. In this study, we explored 3D sketching for medical images using true 2D-3D interlinked visualization and interaction, presenting a novel AR environment named ARMedicalSketch. It supports image display enhancement preprocessing and 3D interaction tasks for original 3D medical images. Our interaction interface, based on 3D autostereoscopic display technology, provides both floating 3D display and 2D tablet display while enabling glasses-free visualization. We presented a method of 2D-3D interlinked visualization and interaction, employing synchronized projection visualization and a virtual synchronized interactive plane to establish an integrated relationship between 2D and 3D displays. Additionally, we utilized gesture sensors and a 2D touch tablet to capture the user's hand information for convenient interaction. We constructed the prototype and conducted a user study involving 23 students and 2 clinical experts. The controlled study compared our proposed system with a 2D display prototype, showing enhanced efficiency in interacting with medical images while maintaining 2D interaction accuracy, particularly in tasks involving strong 3D spatial correlation. In the future, we aim to further enhance the interaction precision and application scenarios of ARMedicalSketch.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"54 5","pages":"589-598"},"PeriodicalIF":3.5,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141886116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Emotion Recognition of Playing Musicians From EEG, ECG, and Acoustic Signals 从脑电图、心电图和声学信号识别演奏音乐家的情绪

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-08-01 DOI: 10.1109/THMS.2024.3430327

Luca Turchet;Barry O'Sullivan;Rupert Ortner;Christoph Guger

{"title":"Emotion Recognition of Playing Musicians From EEG, ECG, and Acoustic Signals","authors":"Luca Turchet;Barry O'Sullivan;Rupert Ortner;Christoph Guger","doi":"10.1109/THMS.2024.3430327","DOIUrl":"10.1109/THMS.2024.3430327","url":null,"abstract":"This article investigated the automatic recognition of felt and musically communicated emotions using electroencephalogram (EEG), electrocardiogram (ECG), and acoustic signals, which were recorded from eleven musicians instructed to perform music in order to communicate happiness, sadness, relaxation, and anger. Musicians' self-reports indicated that the emotions they musically expressed were highly consistent with those they actually felt. Results showed that the best classification performances, in a subject-dependent classification using a KNN classifier were achieved by using features derived from both the EEG and ECG (with an accuracy of 98.11%). Which was significantly more accurate than using ECG features alone, but was not significantly more accurate than using EEG features alone. The use of acoustic features alone or in combination with EEG and/or ECG features did not lead to better performances than those achieved with EEG plus ECG or EEG alone. Our results suggest that emotion detection of playing musicians, both felt and musically communicated, when coherent, can be classified in a more reliable way using physiological features than involving acoustic features. The reported machine learning results are a step toward the development of affective brain–computer interfaces capable of automatically inferring the emotions of a playing musician in real-time.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"54 5","pages":"619-629"},"PeriodicalIF":3.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10620218","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141886137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

User Characteristics and Their Impact on the Perceived Usable Security of Physical Authentication Devices 用户特征及其对物理认证设备可用安全性的影响

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-07-24 DOI: 10.1109/THMS.2024.3421538

Jongkil Jay Jeong;Syed Wajid Ali Shah;Ashish Nanda;Robin Doss;Mohammad Nosouhi;Jeb Webb

{"title":"User Characteristics and Their Impact on the Perceived Usable Security of Physical Authentication Devices","authors":"Jongkil Jay Jeong;Syed Wajid Ali Shah;Ashish Nanda;Robin Doss;Mohammad Nosouhi;Jeb Webb","doi":"10.1109/THMS.2024.3421538","DOIUrl":"10.1109/THMS.2024.3421538","url":null,"abstract":"Physical authentication devices (PADs) offer a higher level of security than other authentication technologies commonly used in multifactor authentication (MFA) schemes because they are much less vulnerable to attack. However, PAD uptake remains significantly lower than that for SMS and app-based approaches, accounting for only 10% of all authentication technologies currently being utilized in MFA. Prior studies indicate that the primary reason for this low adoption rate is due to negative users' perceptions and attitudes toward the usability of PADs; many of these studies often skew toward a particular set of users (e.g., young university students, etc.), often creating a bias toward what usable security entails. To address this limitation, we have formulated an original research methodology that segments users into specific groups based on their user characteristics (i.e., age, education, and experience) and examines how each group defines usability and ranks their preferences regarding certain security features. Based on a survey of 410 participants, our results indicate that there are indeed different usable security preferences for each user group, and we, therefore, provide recommendations on how existing PADs might be enhanced to support usability and improve adoption rates.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"54 5","pages":"554-564"},"PeriodicalIF":3.5,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141772570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IEEE Systems, Man, and Cybernetics Society Information 电气和电子工程师学会系统、人和控制论学会信息

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-07-18 DOI: 10.1109/THMS.2024.3427293

引用次数: 0

Call for Papers: Special Issue on Trustworthy Human-Autonomy Teaming: Featured Research from the 4th International Conference on Human-Machine Systems (ICHMS 2024) 征稿：可信赖的人机协作特刊：第四届国际人机系统大会（ICHMS 2024）的特色研究

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-07-18 DOI: 10.1109/THMS.2024.3427300

引用次数: 0

IEEE Transactions on Human-Machine Systems Information for Authors 电气和电子工程师学会《人机系统学报》（IEEE Transactions on Human-Machine Systems）为作者提供的信息

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-07-18 DOI: 10.1109/THMS.2024.3427297

引用次数: 0

IEEE Systems, Man, and Cybernetics Society Information 电气和电子工程师学会系统、人和控制论学会信息

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-07-18 DOI: 10.1109/THMS.2024.3427295

引用次数: 0

Real-Time Posture Identification System for Wheelchair Users Preventing the Generation of Pressure Ulcers 用于轮椅使用者的实时姿势识别系统，防止产生压疮

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-07-16 DOI: 10.1109/THMS.2024.3422267

Aura Ximena Gonzalez-Cely;Cristian Felipe Blanco-Diaz;Teodiano Bastos-Filho;Camilo Arturo Rodriguez-Diaz

{"title":"Real-Time Posture Identification System for Wheelchair Users Preventing the Generation of Pressure Ulcers","authors":"Aura Ximena Gonzalez-Cely;Cristian Felipe Blanco-Diaz;Teodiano Bastos-Filho;Camilo Arturo Rodriguez-Diaz","doi":"10.1109/THMS.2024.3422267","DOIUrl":"10.1109/THMS.2024.3422267","url":null,"abstract":"Prevention is key to avoid pressure ulcer generation in people with mobility restrictions. In recent years, preventive medicine has focused on posture control by considering people who frequently have the same position for too long, such as wheelchair users. Optical fiber sensors have gained recognition for their applications in biomedical engineering; however, approaches to assistive devices, such as wheelchairs, have been relatively unexplored. This study proposes a polymeric-optical-fiber (POF) sensing system based on machine learning (ML) for human posture recognition in an electrical wheelchair-based human machine interface (HMI). The ML-based model was used to classify time- and frequency-domain features obtained from a matrix of POF-based pressure sensors and 24 photodetectors during the execution of eight body postures. In an offline stage, multiclassification was conducted using k-nearest neighbors (KNN), decision tree, extra tree classifier (ETC), and random forest, where the best performance, in terms of accuracy (ACC), was obtained through the use of ETC (94%). Hence, this classifier was implemented in real-time, where the wheelchair-based HMI achieved a CPU time of approximately 117 ms, and an ACC higher than 96%, outperforming the metrics previously reported in the literature. We believe that this study contributes to the development of smart assistive systems that integrate ML and soft sensors to recognize body postures in an HMI, which is a promising approach for preventing the generation of pressure ulcers in wheelchair users.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"54 5","pages":"546-553"},"PeriodicalIF":3.5,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141722593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Resilience in Operators, Technologies, and Systems 运营商、技术和系统的复原力

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-07-09 DOI: 10.1109/THMS.2024.3408804

P. A. Hancock;Jessica Cruit

{"title":"Resilience in Operators, Technologies, and Systems","authors":"P. A. Hancock;Jessica Cruit","doi":"10.1109/THMS.2024.3408804","DOIUrl":"10.1109/THMS.2024.3408804","url":null,"abstract":"Changes in technology, particularly for example in commercial air operations, have led to incremental increases in the number and variety of associated safety procedures and checklists. This work addresses concerns about how people and systems respond to unanticipated events, as applicable to such commercial air operations, and to examine whether these “\u0000<sc>if–then</small>\u0000” approaches prove sufficient to respond to prospective operational uncertainties. The current work draws from the literature on systems resilience, cognitive flexibility, and adaptation to consider how response strategies that are integrated into human–machine training at all levels of operation can aid in effective resolution to such unanticipated events. A number of scientific insights, methods, and domains are identified as being able to be employed to avoid catastrophic failure in current and prospective operational environments. While heuristics for advisement do provide an initial level of defensive protection, evolving airspace operations need to be adaptive to, and resilient in respect of, emerging and even unanticipated challenges. Prospective response strategies need to encompass both the demands that can be evidently foreseen and those that remain at present, indeterminate. Resilience in responding appears to be a primary dimension of success in relation to these challenges. The information herein distilled can increase operator performance and aviation systems’ response to nonproceduralized and unanticipated events as well as being applied to a vast array of other safety-critical operations beyond this one realm.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"54 5","pages":"565-581"},"PeriodicalIF":3.5,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141567776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Supporting Human–Robot Interaction by Projected Augmented Reality and a Brain Interface 通过投射式增强现实和大脑接口支持人机交互

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-07-02 DOI: 10.1109/THMS.2024.3414208

Francesco De Pace;Federico Manuri;Matteo Bosco;Andrea Sanna;Hannes Kaufmann

{"title":"Supporting Human–Robot Interaction by Projected Augmented Reality and a Brain Interface","authors":"Francesco De Pace;Federico Manuri;Matteo Bosco;Andrea Sanna;Hannes Kaufmann","doi":"10.1109/THMS.2024.3414208","DOIUrl":"10.1109/THMS.2024.3414208","url":null,"abstract":"This article presents a brain–computer interface (BCI) coupled with an augmented reality (AR) system to support human–robot interaction in controlling a robotic arm for pick-and-place tasks. BCIs can process steady-state visual evoked potentials (SSVEPs), which are signals generated through visual stimuli. The visual stimuli may be conveyed to the user with AR systems, expanding the range of possible applications. The proposed approach leverages the capabilities of the NextMind BCI to enable users to select objects in the range of the robotic arm. By displaying a visual anchor associated with each object in the scene with projected AR, the NextMind device can detect when users focus their eyesight on one of them, thus triggering the pick-up action of the robotic arm. The proposed system has been designed considering the needs and limitations of mobility-impaired people to support them when controlling a robotic arm for pick-and-place tasks. Two different approaches for positioning the visual anchors are proposed and analyzed. Experimental tests involving users show that both approaches are highly appreciated. The system performances are extremely robust, thus allowing the users to select objects in an easy, fast, and reliable way.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"54 5","pages":"599-608"},"PeriodicalIF":3.5,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10581874","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141516478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0