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IEEE International Workshop on Robot and human Communication (ROMAN)

作者： Max Pascher Kirill Kronhardt Felix Ferdinand Goldau Udo Frese Jens Gerken Human-Computer Interaction Westphalian University of Applied Sciences Gelsenkirchen Germany Human-Computer Interaction University of Duisburg-Essen Essen Germany Mathematics & Computer Science University of Bremen Bremen Germany

Robotic solutions, in particular robotic arms, are becoming more frequently deployed for close collaboration with humans, for example in manufacturing or domestic care environments. These robotic arms require the user to control several Degrees-of-Freedom (DoFs) to perform tasks, primarily involving grasping and manipulating objects. Standard input devices predominantly have two DoFs, requiring time-consuming and cognitively demanding mode switches to select individual DoFs. Contemporary Adaptive DoF Mapping Controls (ADMCs) have shown to decrease the necessary number of mode switches but were up to now not able to significantly reduce the perceived workload. Users still bear the mental workload of incorporating abstract mode switching into their workflow. We address this by providing feed-forward multimodal feedback using updated recommendations of ADMC, allowing users to visually compare the current and the suggested mapping in real-time. We contrast the effectiveness of two new approaches that a) continuously recommend updated DoF combinations or b) use discrete thresholds between current robot movements and new recommendations. Both are compared in a Virtual Reality (VR) in-person study against a classic control method. Significant results for lowered task completion time, fewer mode switches, and reduced perceived workload conclusively establish that in combination with feedforward, ADMC methods can indeed outperform classic mode switching. A lack of apparent quantitative differences between Continuous and Threshold reveals the importance of user-centered customization options. Including these implications in the development process will improve usability, which is essential for successfully implementing robotic technologies with high user acceptance.

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MiniNet: Dense squeeze with depthwise separable convolutions for image classification in resource-constrained autonomous systems

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ISA Transactions 2023年 132卷 120-130页

作者： Tseng, Fan-Hsun Yeh, Kuo-Hui Kao, Fan-Yi Chen, Chi-Yuan Department of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan Department of Information Management National Dong Hwa University Hualien Taiwan Computer Science and Engineering Department of National Sun Yat-sen University Kaohsiung804 Taiwan Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan Department of Computer Science and Information Engineering National Ilan University Yilan Taiwan

In recent years, artificial intelligence (AI) has been developed vigorously, and a great number of AI autonomous applications have been proposed. However, how to decrease computations and shorten training time with high accuracy under the limited hardware resource is a vital issue. In this paper, on the basis of MobileNet architecture, the dense squeeze with depthwise separable convolutions model is proposed, viz. MiniNet. MiniNet utilizes depthwise and pointwise convolutions, and is composed of the dense connection technique and the Squeeze-and-Excitation operations. The proposed MiniNet model is implemented and experimented with Keras. In experimental results, MiniNet is compared with three existing models, i.e., DenseNet, MobileNet, and SE-Inception-Resnet-v1. To validate that the proposed MiniNet model is provided with less computation and shorter training time, two types as well as large and small datasets are used. The experimental results showed that the proposed MiniNet model significantly reduces the number of parameters and shortens training time efficiently. MiniNet is superior to other models in terms of the lowest parameters, shortest training time, and highest accuracy when the dataset is small, especially. © 2022 ISA

关键词： Convolution

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Enhanced Transient Response of Ultrasound Neuromodulation Mediated by Large Conductance Mechanosensitive Ion Channel 46

Enhanced Transient Response of Ultrasound Neuromodulation Me...

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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Li, Xin Zhang, Guoying Zheng, Chenguang Tian, Yutao Tianjin University Academy of Medical Engineering and Translational Medicine Medical College Tianjin China Tianjin Key Laboratory of Brain Science and Neuroengineering Tianjin China Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration Tianjin China

ISBN: (纸本)9798350371499

Ultrasound neuromodulation, a burgeoning field aimed at enhancing brain function and behavior, relies on the intricate electrophysiological responses of neurons driven by ion channel dynamics. However, achieving targeted and precise modulation with ultrasound poses a significant challenge. A hypothesis is that mechanosensitive (MS) ion channels may play a pivotal role in achieving the desired specificity in ultrasound effects. Our study involved augmenting MscL-G22S channel expression in specific areas of rats' hippocampus (HP) and primary visual cortex (V1) via AAV virus delivery. We recorded local field potentials (LFPs) to assess the modulation effect and identified distinct evoked-related potentials (ERPs) in regions overexpressing MscL-G22S channels under anesthesia. Notable variations in the amplitude of negative peaks were observed in the ERPs between HP and V1, highlighting a nuanced response to ultrasound stimulation. These results highlight the complexity and promise of MS channel-mediated neuromodulation, offering critical insights into the development of targeted ultrasound interventions to improve brain function. © 2024 IEEE.

关键词： Transient analysis

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A Framework for Blockchain Based E-Voting System for Iraq

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2022年第10期16卷 210-222页

作者： Wahab, Yousif Mohammed Ghazi, Alaan Al-Dawoodi, Aras Alisawi, Muthana Abdullah, Sirwan Saber Hammood, Layth Nawaf, Asmaa Yaseen Computer Science College of Computer Science and Information Technology University of Kirkuk Kirkuk Iraq Gazi University Ankara Turkey Department of Computer Technical Engineering Al-Qalam University College Kirkuk Iraq Faculty of Applied and Human Sciences University Malaysia Perlis Perlis Malaysia Information Technology and Communication Department Rafidain Bank Iraq Altinbas University Istanbul Turkey Computer Science College of Computer Science University of Anbar Kirkuk Iraq

Election is a basic democratic tool that offers an official mechanism for the people to express their opinions in order to form a government by democratic means. Electronic voting has evolved into the most significant application of e-governance and e-democracy. Few countries have recently taken the opportunity to test and use electronic voting systems. Also, many countries expect that internet voting will become a reality during the next decade. In the conventional voting system, the electors authenticate themselves by displaying credentials;this move is open to the public and is validated by poll workers. During this authentication, they are manually checked before being eligible to vote. The standard system of voting is more costly and needs more human capital. Because of these factors, the whole world is heading toward the trend of e-voting. Electronic voting devices are supposed to be the answer to the shortages. A secure e-voting system must meet many criteria, including uniqueness, performance, fairness, stability, safety, authentication, and anonymity. Block-chain is a modern security solution, which is capable of securing e-voting system. Blockchain is distributed ledger. Each block contains only one transaction. Block chain provides security using cryptography and hashing. Blockchain provides a perfect infrastructure to provide secure e-voting ***. Blockchain along with smart contracts need hour to improvise an e-voting system. This paper presents a secure blockchain based framework for an e-electronic voting in Iraq. © 2022

关键词： Smart contract

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Habilyzer: A User-Driven Open-Ended Sensor Kit for Office Workers

Habilyzer: A User-Driven Open-Ended Sensor Kit for Office Wo...

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2022 CHI Conference on human Factors in Computing Systems, CHI EA 2022

作者： Van Den Heuvel, Roy Van Bussel, Tjeu Lallemand, Carine Department of Industrial Design Eindhoven University of Technology Netherlands Human-Computer Interaction Research Group University of Luxembourg Luxembourg

ISBN: (纸本)9781450391566

Office work presents health and wellbeing challenges, triggered by working habits or environmental factors. While technological interventions gain popularity in the workplace, they often fall short of acknowledging personal needs. Building on approaches from personal informatics, we present our vision on the use of user-driven, situated sensor probes in an office context and how the community might deal with complex yet timely questions around the use of data to empower people in becoming explorers of their own habits and experiences. We demonstrate Habilyzer, an open-ended sensor toolkit for office workers, which enables user-driven explorations in self-tracking their work routines. This research contributes an alternative approach to improving working habits and vitality in the workplace, moving from solution-oriented technologies to inquiry-enabling tools. Through this demonstration, we also aim to trigger discussions on the use of sensors and data in the office context, in the light of privacy, consent and data ownership. © 2022 Owner/Author.

关键词： Office buildings

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A Systematic Literature Review of Blockchain Technology

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2022年第10期16卷 97-108页

作者： Ghazi, Alaan Alisawi, Muthana Wahab, Yousif Mohammed Al-Dawoodi, Aras Abdullah, Sirwan Saber Hammood, Layth Nawaf, Asmaa Yaseen Department of Computer Technical Engineering Al-Qalam University College Kirkuk Iraq Faculty of Applied and Human Sciences University Malaysia Perlis Perlis Malaysia Computer Science College of Computer Science and Information Technology University of Kirkuk Kirkuk Iraq Gazi University Ankara Turkey Information Technology and Communication Department Rafidain Bank Iraq Altinbas University Istanbul Turkey Computer Science College of Computer Science University of Anbar Kirkuk Iraq

The Blockchain technology moves data nodes and data streams from one informatics center to another based on the importance of Bitcoins, resulting in a dedicated, public, and secure network for interpretation and development of the ensuing information chain reaction. Blockchains are frequently formed by connecting interrelated patterns of information in order to conduct a secure transaction. Blockchain has the characteristics of decentralization, transparency, immutability, autonomy, open-source, anonymity, and consensus. Block chains are being utilized in a variety of real-world applications, including business and economics, financial technology, and digital currencies. This article does a comprehensive review of the literature on blockchain technology. While searching for the keyword "blockchain" as a subject, we identified a total of 1882 entries in these databases. After removing the less common record kinds, the papers were reduced to 1246 articles, which were then used for further investigation. © 2022

关键词： Smart contract

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Study on the Temporal Patterns of CA1 Pyramidal Neuron Activity in Mice Hippocampus under Simulated Spaceflight Composite Environment 46

Study on the Temporal Patterns of CA1 Pyramidal Neuron Activ...

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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Sun, Shufan Ren, Jing Zhao, Meiling Wang, Ling Zheng, Chenguang Yang, Jiajia Ming, Dong Academy of Medical Engineering and Translational Medicine Tianjin University Brain-Computer Interaction and Human-Machine Fusion Haihe Laboratory Tianjin University Tianjin Key Laboratory of Brain Science and Neural Engineering Tianjin University Tianjin 300072 China

ISBN: (纸本)9798350371499

With the gradual realization of manned spaceflight goals, the physical and mental health of astronauts has become a core concern. Numerous studies in recent years have indicated that the aerospace special environment (ASE) can lead to alterations in astronaut cognitive function. However, the adaptive changes in neuronal activity underlying these alterations remain unclear. This study utilized animal models and two-photon imaging technology to investigate the adaptive changes in the activity characteristics and synchronicity of pyramidal neurons in the CA1 region of the mice hippocampus under simulated spaceflight composite environment (SSCE). The results indicate that, with prolonged modeling time, the number of active pyramidal neurons in the CA1 region gradually decreases. Significant reductions in both the frequency and amplitude of neuronal calcium transients occur, stabilizing at lower levels. The calcium transient decay constant extends, and significant decorrelation in neuronal calcium activity is observed. Thus, we posit that these changes may constitute crucial factors leading to the alterations in individual cognitive function induced by the aerospace special environment. © 2024 IEEE.

关键词： Mammals

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Semantics-Controlled Gaussian Splatting for Outdoor Scene Reconstruction and Rendering in Virtual Reality 32

Semantics-Controlled Gaussian Splatting for Outdoor Scene Re...

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32nd IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2025

作者： Schieber, Hannah Young, Jacob Langlotz, Tobias Zollmann, Stefanie Roth, Daniel Technical University of Munich Human-Centered Computing and Extended Reality Lab Tum University Hospital Clinic for Orthopedics and Sports Orthopedics Munich Germany Erlangen Germany University of Otago Department of Computer Science Dunedin New Zealand Aarhus University Department of Computer Science Aarhus Denmark

ISBN: (纸本)9798331536459

Advancements in 3D rendering like Gaussian Splatting (GS) allow novel view synthesis and real-time rendering in virtual reality (VR). However, GS-created 3D environments are often difficult to edit. For scene enhancement or to incorporate 3D assets, segmenting Gaussians by class is essential. Existing segmentation approaches are typically limited to certain types of scenes, e.g., "circular"scenes, to determine clear object boundaries. However, this method is ineffective when removing large objects in non-"circling"scenes such as large outdoor *** propose Semantics-Controlled GS (SCGS), a segmentation-driven GS approach, enabling the separation of large scene parts in uncontrolled, natural environments. SCGS allows scene editing and the extraction of scene parts for VR. Additionally, we introduce a challenging outdoor dataset, overcoming the "circling"setup. We outperform the state-of-the-art in visual quality on our dataset and in segmentation quality on the 3D-OVS dataset. We conducted an exploratory user study, comparing a 360-video, plain GS, and SCGS in VR with a fixed viewpoint. In our subsequent main study, users were allowed to move freely, evaluating plain GS and SCGS. Our main study results show that participants clearly prefer SCGS over plain GS. We overall present an innovative approach that surpasses the state-of-the-art both technically and in user experience. © 2025 IEEE.

关键词： Virtual environments

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Low intensity focused ultrasound stimulation targeted on M1 ameliorates neuroinflammation in hemi-parkinsonian rats 46

Low intensity focused ultrasound stimulation targeted on M1 ...

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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Li, Chunchan Sun, Tianyi Liang, Rong Yang, Zihui Yang, Weifan Li, Wanzhe Yin, Yiwei Zhang, Guanglu Wang, Ling Yang, Jiajia He, Feng Ming, Dong Academy of Medical Engineering and Translational Medicine Tianjin University Brain-Computer Interaction and Human-Machine Fusion Haihe Laboratory Tianjin University Tianjin Key Laboratory of Brain Science and Neural Engineering Tianjin University Tianjin 300072 China

ISBN: (纸本)9798350371499

Objective: Low intensity focused stimulation (LIFUS) has been proved to improve motor function in Parkinson's disease (PD) animal modules. The aim of this study is to investigate whether LIFUS target on the primary motor cortex (M1) can improve motor deficit in the PD rats. Methods: The PD rat model was induced by injection of 6-hydroxydopamine (6-OHDA) in the medial forebrain bundle (MFB). Two weeks after the injection, LIFUS was used on PD rats for two weeks. Behavioral tests were performed including open field test and rotarod test to examine the motor ability of the rats. The activity of microglia and astrocyte were tested to evaluate the inflammation level in the brain. The tyrosine hydroxylase (TH) staining was done to detect the recovery of dopaminergic (DA) neurons in the substantia nigra (SN) and DA fibers in the striatum (STR). Results: LIFUS treatment decreased the resting time in OFT(p © 2024 IEEE.

关键词： Neurodegenerative diseases

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Firing Pattern of Cells in the Hippocampus and Basolateral Amygdala during Novelty Recognition 46

Firing Pattern of Cells in the Hippocampus and Basolateral A...

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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Ren, Xiaoxin Wang, Yimeng Wang, Ling Yang, Jiajia Zheng, Chenguang Tianjin University Academy of Medical Engineering and Translational Medicine Medical College Tianjin China Tianjin Key Laboratory of Brain Science and Neuroengineering Tianjin China Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration Tianjin China

ISBN: (纸本)9798350371499

Novelty recognition is essential for exploring and collecting unknown but interesting information, in which multiple brain regions related to cognitive memory are involved. Dorsal hippocampus (dHPC) is revealed to be closely associated with spatial memory and basolateral amygdala (BLA) is reported recently to be related to state-dependent encoding of exploratory behavior. However, how the firing pattern of cells in these two brain regions responds to novelty dynamically remains unclear. In this study, we observed that the representations of cells in BLA exhibited shift towards novelty, whereas dHPC cells maintained strong stability after the introduction of novelty, which are both engaged in the execution of novel recognition. Our study may provide new evidence for underlying the internal mechanisms of perception of novelty in the brain. © 2024 IEEE.

关键词： Brain

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