检索结果-内蒙古大学图书馆

Emotional parameter estimation from emo-soundscapes dataset using Deep Convolutional Autoencoders

Multimedia Tools and Applications 2024年 1-15页

作者： Serradilla, Francisco San Juan, Álvaro Martínez-Iñigo, David Department of Computer Systems Politechnic University of Madrid Madrid Spain Laboratory of Ecological Momentary Assessment of Human Behavior and Social Interaction Rey Juan Carlos University Alcorcón Spain

Predicting the emotional responses of humans to acoustic features in the surrounding environment has a highly potential of applications in different fields, ranging from videogames, therapeutic use of virtual reality to the emotional design of spaces according to their expected use. In this paper we model the estimation process of the classical emotion characterization parameters (arousal and valence) from sounds. By means of convolutional neural networks and convolutional autoencoders, the model is adjusted for the prediction of these parameters from a standard dataset [1], improving the results obtained in previous literature. The relevance of the work, apart from improving the results due to the use of autoencoders, is that it eliminates the need to compute handcrafted features, thus demonstrating the ability of convolutional neural networks to treat raw information. Other main contributions of the paper is a new way to visualize the errors in the joint estimation of arousal and valence that facilitates the evaluation of the results obtained by the models. Finally, the use of bootstrap to estimate the confidence intervals of the MSE and r2 of Deep Learning models shows that in comparison to non-overlapping samples, overlapping samples introduces performance bias. © The Author(s) 2024.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

The fNIRS-Based Emotion Recognition by Spatial Transformer and WGAN Data Augmentation Toward Developing a Novel Affective BCI

引用

IEEE Transactions on Affective Computing 2025年第2期16卷 875-890页

作者： Si, Xiaopeng Huang, He Yu, Jiayue Ming, Dong Tianjin University Academy of Medical Engineering and Translational Medicine State Key Laboratory of Advanced Medical Materials and Devices Haihe Laboratory of Brain-computer Interaction and Human-machine Integration Tianjin Key Laboratory of Brain Science and Neural Engineering Institute of Applied Psychology Tianjin300072 China Tianjin University Academy of Medical Engineering and Translational Medicine State Key Laboratory of Advanced Medical Materials and Devices Haihe Laboratory of Brain-computer Interaction and Human-machine Integration Tianjin Key Laboratory of Brain Science and Neural Engineering Tianjin300072 China

The affective brain-computer interface (aBCI) facilitates the objective identification or regulation of human emotions. Current aBCI mainly relies on electroencephalography (EEG). However, research shows that emotions involve a large-scale distributed brain network. Compared to electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS) offers a higher spatial resolution. It holds greater potential in capturing emotional spatial information, which may foster the development of new affective Brain-computer Interfaces (aBCI). We proposed a novel self-attention-based deep-learning transformer language model for fNIRS cross-subject emotion recognition, which could automatically learn the emotion's spatial attention weight information with strong interpretability. Besides, we performed data augmentation by introducing the wasserstein generative adversarial networks (WGAN). Results showed: (1) We achieved 84% three-category cross-subject emotion decoding accuracy. The spatial transformer module and WGAN improved the accuracy by 12.8% and 4.3%, respectively. (2) Compared with cutting-edge fNIRS research, we led by 10% in three-category decoding accuracy. (3) Compared with cutting-edge EEG research, we lead by 28% in arousal decoding accuracy, 10% in valence decoding accuracy, and 2% in three-category decoding accuracy. (4) Besides, our approach holds the potential to uncover the brain's spatial encoding mechanism of human emotion processing, providing a new direction for building interpretable artificial intelligence models. © 2010-2012 IEEE.

关键词： Near infrared spectroscopy

来源：评论

学校读者我要写书评

暂无评论

Planet Purifiers: A Collaborative Immersive Experience Proposing New Modifications to HOMER and Fishing Reel interaction Techniques

arXiv

引用

arXiv 2025年

作者： Giovannelli, Alexander Murphy, Fionn Davis, Trey Lee, Chaerin Abulikemu, Rehema Gallagher, Matthew Sharma, Sahil Lisle, Lee Bowman, Doug A. Center for Human-Computer Interaction Department of Computer Science Virginia Tech BlacksburgVA United States

This paper presents our solution to the 2025 3DUI Contest challenge. We aimed to develop a collaborative, immersive experience that raises awareness about trash pollution in natural landscapes while enhancing traditional interaction techniques in virtual environments. To achieve these objectives, we created an engaging multiplayer game where one user collects harmful pollutants while the other user provides medication to impacted wildlife using enhancements to traditional interaction techniques: HOMER and Fishing Reel. We enhanced HOMER to use a cone volume to reduce the precise aiming required by a selection raycast to provide a more efficient means to collect pollutants at large distances, coined as FLOW-MATCH. To improve the animal feed distribution to wildlife far away from the user with Fishing Reel, we created RAWR-XD, an asymmetric bi-manual technique to more conveniently adjust the reeling speed using the non-selecting wrist rotation of the user. Copyright © 2025, The Authors. All rights reserved.

关键词： Reels

来源：评论

学校读者我要写书评

暂无评论

WaterHCI: Water in human-computer interaction

引用

Foundations and Trends in human-computer interaction 2024年第4期18卷 338-412页

作者： Vega, Maria Montoya Smith, Ian Clashing, Christal Patibanda, Rakesh Ananthanarayan, Swamy Pell, Sarah Jane Mueller, Florian Exertion Games Lab Department of Human-Centred Computing Monash University Australia Faculty of Computer Science University of New Brunswick Canada Department of Human-Centred Computing Monash University Australia

Over recent years, there has been an increase in the coming together of interactive technology and water, leading to the emergence of WaterHCI, a distinct subfield of human-computer interaction (HCI). However, there is little work that aims to paint a comprehensive picture of the work around WaterHCI experiences so far, limiting the opportunity to identify directions for future research. This monograph aims to address this through an articulation of prior WaterHCI works structured using two frameworks that aim to offer a better understanding of the design of aquatic experiences through four key user experiences across six different degrees of contact with water. This articulation allows us to highlight underexplored areas that could guide WaterHCI researchers in identifying what to research next in order to bring the field forward as a whole. Ultimately, our work aims to help so that more people can profit from the many benefits that combining interactive technology and water affords. ©2024 M. M. Vega et al.

关键词： aqua aquatic interfaces Water

来源：评论

学校读者我要写书评

暂无评论

Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal humanoid Locomotion 23

Exciting Action: Investigating Efficient Exploration for Lea...

引用

23rd IEEE-RAS International Conference on humanoid Robots, humanoids 2024

作者： Geiß, Henri-Jacques Al-Hafez, Firas Seyfarth, Andre Peters, Jan Tateo, Davide Technical University Darmstadt Computer Science Department Germany University of Innsbruck Computer Science Department Austria Technical University Darmstadt Human Sciences Department Germany Germany

ISBN: (纸本)9798350373578

Learning a locomotion controller for a musculoskeletal system is challenging due to over-actuation and high-dimensional action space. While many reinforcement learning methods attempt to address this issue, they often struggle to learn human-like gaits because of the complexity involved in engineering an effective reward function. In this paper, we demonstrate that adversarial imitation learning can address this issue by analyzing key problems and providing solutions using both current literature and novel techniques. We validate our methodology by learning walking and running gaits on a simulated humanoid model with 16 degrees of freedom and 92 Muscle-Tendon Units, achieving natural-looking gaits with only a few demonstrations. Code is available at https://***/henriTUD/musculoco-learning. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

SimLex-999 for Dutch 30

SimLex-999 for Dutch

引用

Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Brans, Lizzy Bloem, Jelke Human Computer Interaction Utrecht University Netherlands Institute for Logic Language and Computation University of Amsterdam Netherlands Data Science Centre University of Amsterdam Netherlands

ISBN: (纸本)9782493814104

Word embeddings revolutionised natural language processing by effectively representing words as dense vectors. Although many datasets exist to evaluate English embeddings, few cater to Dutch. We developed a Dutch variant of the SimLex-999 word similarity dataset by gathering similarity judgements from 235 native Dutch speakers. Subsequently, we evaluated two popular Dutch language models, Bertje and RobBERT, finding that Bertje showed superior alignment with human semantic similarity judgments compared to RobBERT. This study provides the first intrinsic Dutch word embedding evaluation dataset, which enables accurate assessment of these embeddings and fosters the development of effective Dutch language models. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Embeddings

来源：评论

学校读者我要写书评

暂无评论

The Alchemist: A Gesture-Based 3D User Interface for Engaging Arithmetic Calculations

The Alchemist: A Gesture-Based 3D User Interface for Engagin...

引用

Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on

作者： Logan Lane Alexander Giovannelli Ibrahim Tahmid Francielly Rodrigues Cory Ilo Darren Hsu Christos Lougiakis Shakiba Davari Doug A. Bowman Department of Computer Science Virginia Tech Center for Human-Computer Interaction Blacksburg VA USA

ISBN: (数字)9798350374490

ISBN: (纸本)9798350374506

This paper presents our solution to the IEEE VR 2024 3DUI contest. We present The Alchemist, a VR experience tailored to aid children in practicing and mastering the four fundamental mathematical operators. In The Alchemist, players embark on a fantastical journey where they must prepare three potions to break a malevolent curse imprisoning the Gobbler kingdom. Our contributions include the development of a novel number input interface, Pinwheel, an extension of PizzaText [7], as well as four novel gestures, each corresponding to a distinct mathematical operator, designed to assist children in retaining practice with these operations. Preliminary tests indicate that Pinwheel and the four associated gestures facilitate the quick and efficient execution of mathematical operations.

关键词： Visualization Three-dimensional displays Conferences Virtual reality User interfaces Arithmetic

来源：评论

学校读者我要写书评

暂无评论

Aging in Place Virtual Care Technology from the User Experience Perspective 9th

Aging in Place Virtual Care Technology from the User Experie...

引用

9th International Conference on human Aspects of IT for the Aged Population, ITAP 2023, held as part of the 25th International Conference on human-computer interaction, HCII 2023

作者： Kondratova, Irina Fournier, Helene Rajabiyazdi, Fateme Human Computer Interaction Digital Technologies Research Centre National Research Council Canada FrederictonNB Canada Human Computer Interaction Digital Technologies Research Centre National Research Council Canada MonctonNB Canada Department of Systems and Computer Engineering Carleton University OttawaON Canada

ISBN: (纸本)9783031349164

This paper reports on research being conducted under the National Research Council of Canada’s Aging in Place Program. The objective of this program is to evaluate and assist in the adaptation of assistive technologies for older adults living at home. The aims are to produce guidelines and prototypes needed to design safe, usable, and affordable aging in place technology solutions for virtual care. In preparation for this initiative, relevant findings are presented from a scoping review of the literature. Additionally, we present the framework for surveying older adults’ perspectives on their lived experiences with virtual care and digital technologies during the COVID-19 pandemic, which drove uptake of virtual care, particularly in critical areas such as cardiac rehabilitation. Here we discuss the target population for surveillance and describe the survey design, validation, and sampling approach that could achieve the widest range of perspectives;identify gaps, barriers, and challenges. Additionally, we explore remote usability assessment methods available for aging in place technology co-design and evaluation efforts. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

Interdisciplinary perspectives on privacy awareness in lifelogging technology development

引用

Journal of Ambient Intelligence and humanized Computing 2023年第3期14卷 2291-2312页

作者： Wilkowska, Wiktoria Offermann, Julia Colonna, Liane Florez-Revuelta, Francisco Climent-Pérez, Pau Mihailidis, Alex Poli, Angelica Spinsante, Susanna Ziefle, Martina Human-Computer Interaction Center RWTH Aachen University Aachen Germany Swedish Law and Informatics Research Institute Stockholm University Stockholm Sweden Department of Computer Technology University of Alicante Alicante Spain Department of Occupational Science and Occupational Therapy University of Toronto Toronto Canada Department of Information Engineering Marche Polytechnic University Ancona Italy

Population aging resulting from demographic changes requires some challenging decisions and necessary steps to be taken by different stakeholders to manage current and future demand for assistance and support. The consequences of population aging can be mitigated to some extent by assisting technologies that can support the autonomous living of older individuals and persons in need of care in their private environments as long as possible. A variety of technical solutions are already available on the market, but privacy protection is a serious, often neglected, issue when using such (assisting) technology. Thus, privacy needs to be thoroughly taken under consideration in this context. In a three-year project PAAL (‘Privacy-Aware and Acceptable Lifelogging Services for Older and Frail People’), researchers from different disciplines, such as law, rehabilitation, human-computer interaction, and computer science, investigated the phenomenon of privacy when using assistive lifelogging technologies. In concrete terms, the concept of Privacy by Design was realized using two exemplary lifelogging applications in private and professional environments. A user-centered empirical approach was applied to the lifelogging technologies, investigating the perceptions and attitudes of (older) users with different health-related and biographical profiles. The knowledge gained through the interdisciplinary collaboration can improve the implementation and optimization of assistive applications. In this paper, partners of the PAAL project present insights gained from their cross-national, interdisciplinary work regarding privacy-aware and acceptable lifelogging technologies. © 2022, The Author(s).

关键词： human computer interaction

来源：评论

学校读者我要写书评

暂无评论

sEMG-based Sarcopenia risk classification using empirical mode decomposition and machine learning algorithms

引用

Mathematical Biosciences and Engineering 2024年第2期21卷 2901-2921页

作者： Kumar, Konki Sravan Lee, Daehyun Jamsrandoj, Ankhzaya Soylu, Necla Nisa Jung, Dawoon Kim, Jinwook Mun, Kyung Ryoul Center for Artificial Intelligence Korea Institute of Science and Technology Seoul Korea Republic of KHU-KIST Department of Converging Science and Technology Graduate School Kyung Hee University Seoul Korea Republic of Department of Human Computer Interface and Robotics Engineering University of Science and Technology Daejeon Korea Republic of Department of Computer Science Ozyegin University Istanbul Turkey

Early detection of the risk of sarcopenia at younger ages is crucial for implementing preventive strategies, fostering healthy muscle development, and minimizing the negative impact of sarcopenia on health and aging. In this study, we propose a novel sarcopenia risk detection technique that combines surface electromyography (sEMG) signals and empirical mode decomposition (EMD) with machine learning algorithms. First, we recorded and preprocessed sEMG data from both healthy and at-risk individuals during various physical activities, including normal walking, fast walking, performing a standard squat, and performing a wide squat. Next, electromyography (EMG) features were extracted from a normalized EMG and its intrinsic mode functions (IMFs) were obtained through EMD. Subsequently, a minimum redundancy maximum relevance (mRMR) feature selection method was employed to identify the most influential subset of features. Finally, the performances of state-of-the-art machine learning (ML) classifiers were evaluated using a leave-one-subject-out cross-validation technique, and the effectiveness of the classifiers for sarcopenia risk classification was assessed through various performance metrics. The proposed method shows a high accuracy, with accuracy rates of 0.88 for normal walking, 0.89 for fast walking, 0.81 for a standard squat, and 0.80 for a wide squat, providing reliable identification of sarcopenia risk during physical activities. Beyond early sarcopenia risk detection, this sEMG-EMD-ML system offers practical values for assessing muscle function, muscle health monitoring, and managing muscle quality for an improved daily life and well-being. © 2024 American Institute of Mathematical sciences. All rights reserved.

关键词： Empirical mode decomposition

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：