检索结果-内蒙古大学图书馆

6th IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality, AIxVR 2024

作者： Byrne, Sean Anthony Castner, Nora Bozkir, Efe Niehorster, Diederick C. Kasneci, Enkelejda Imt School for Advanced Studies Lucca MoMiLab Lucca Italy Carl Zeiss Vision International GmbH Tübingen Germany Technical University of Munich Human-Centered Technologies for Learning Munich Germany University of Tübingen Human-Computer Interaction Tübingen Germany Lund University Humanities Lab & Lund University Dept. of Psychology Lund Sweden

ISBN: (纸本)9798350372021

As tech giants such as Apple and Meta invest heavily in Virtual and Augmented Reality (VR/AR) technologies, often collectively termed Extended Reality (XR) devices, a significant societal concern emerges: The use of eye-tracking technology within these devices. Gaze data holds immense value, revealing insights into user attention, health, and cognitive states. This raises substantial concerns over privacy and fairness, with potential risks of targeted ads, unauthorized surveillance, and data re-purposing. As the impact of eye tracking is due to transition from the lab to the broader public, this paper underscores these pivotal issues in a digestible manner to the general audience. To this end, we first outline the eye-tracking data collection process and its potential for user insights. Second, we introduce perspectives from the domain of privacy, emphasizing its significance as a pivotal measure to guard against the improper use of eye-tracking data. Third, we provide a set of guidelines created by researchers actively working within this space. These recommendations are designed to guide policymakers and the general public toward establishing informed, equitable, and privacy-centric standards surrounding these devices. © 2024 IEEE.

关键词： Eye tracking

来源：评论

学校读者我要写书评

暂无评论

Base and Stitch: Evaluating eTextile Interfaces from a Material-Centric View 24

Base and Stitch: Evaluating eTextile Interfaces from a Mater...

引用

18th International Conference on Tangible, Embedded, and Embodied interaction, TEI 2024

作者： Rallabandi, Vineetha Haynes, Alice C. Reed, Courtney N. Strohmeier, Paul Sensorimotor Interaction Max Planck Institute for Informatics Saarland Informatics Campus Saarbrücken Germany Human Computer Interaction Lab Saarland University Saarland Informatics Campus Saarbrücken Germany Biomedical Engineering and Imaging Sciences King's College London London United Kingdom

ISBN: (纸本)9798400704024

Fabrics are seen as the foundation for e-textile interfaces but contribute their own tactile properties to interaction. We examine the role of fabrics in gestural interaction from a novel, textile-focused view. We replicated an eTextile sensor and interface for rolling and pinching gestures on four different fabric swatches and invited 6 participants, including both designers and lay-users, to interact with them. Using a semi-structured interview, we examined their interaction with the materials and how they perceived movement and feedback from the textile sensor and a visual GUI. We analyzed participants' responses using a joint, reflexive thematic analysis and propose two key considerations for research in e-textile design: 1) Both sensor and fabric contribute their own, inseparable materiality and 2) Wearable sensing must be evaluated with respect to culturally situated bodies and orientation. Expanding on material-oriented design research, we proffer that the evaluation of eTextiles must also be material-led and cannot be decontextualized and must be grounded within a soma-aware and situated context. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Smart textiles

来源：评论

学校读者我要写书评

暂无评论

Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks 12

Real-Time Facial Expression Recognition using Facial Landmar...

引用

12th Iranian/2nd International Conference on Machine vision and Image Processing, MVIP 2022

作者： Haghpanah, Mohammad A. Saeedizade, Ehsan Masouleh, Mehdi Tale Kalhor, Ahmad University of Tehran Human and Robot Interaction Lab School of Electrical and Computer Engineering Tehran Iran University of Nevada Department of Computer Science and Engineering Reno United States

ISBN: (纸本)9781665412162

This paper presents a lightweight algorithm for feature extraction, classification of seven different emotions, and facial expression recognition in a real-time manner based on static images of the human face. In this regard, a Multi-Layer Perceptron (MLP) neural network is trained based on the foregoing algorithm. In order to classify human faces, first, some pre-processing is applied to the input image, which can localize and cut out faces from it. In the next step, a facial landmark detection library is used, which can detect the landmarks of each face. Then, the human face is split into upper and lower faces, which enables the extraction of the desired features from each part. In the proposed model, both geometric and texture-based feature types are taken into account. After the feature extraction phase, a normalized vector of features is created. A 3-layer MLP is trained using these feature vectors, leading to 96% accuracy on the test set. © 2022 IEEE.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

Scene Understanding in Pick-and-Place Tasks: Analyzing Transformations Between Initial and Final Scenes

Scene Understanding in Pick-and-Place Tasks: Analyzing Trans...

引用

Iranian Conference on Electrical Engineering (ICEE)

作者： Seraj Ghasemi Hamed Hosseini MohammadHossein Koosheshi Mehdi Tale Masouleh Ahmad Kalhor Human and Robot Interaction Lab School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (数字)9798350376340

ISBN: (纸本)9798350376357

With robots increasingly collaborating with humans in everyday tasks, it is important to take steps toward robotic systems capable of understanding the environment. This work focuses on scene understanding to detect pick-and-place tasks given initial and final images from the scene. To this end, a dataset is collected for object detection and pick-and-place task detection. A YOLOv5 network is subsequently trained to detect the objects in the initial and final scenes. Given the detected objects and their bounding boxes, two methods are proposed to detect the pick-and-place tasks which transform the initial scene into the final scene. A geometric method is proposed which tracks objects' movements in the two scenes and works based on the intersection of the bounding boxes which moved within scenes. Contrarily, the CNN-based method utilizes a Convolutional Neural Network to classify objects with intersected bounding boxes into 5 classes, showing the spatial relationship between the involved objects. The performed pick-and-place tasks are then derived from analyzing the experiments with both scenes. Results show that CNN-based method, by VGG-16 backbone, outscores the geometric method by roughly 12% in certain scenarios, with an overall success rate of 84.3%.

关键词： YOLO Electrical engineering Accuracy Tracking Transforms Feature extraction Manipulators

来源：评论

学校读者我要写书评

暂无评论

Scene Understanding in Pick-and-Place Tasks: Analyzing Transformations Between Initial and Final Scenes

arXiv

引用

arXiv 2024年

作者： Ghasemi, Seraj Hosseini, Hamed Koosheshi, MohammadHossein Masouleh, Mehdi Tale Kalhor, Ahmad Human and Robot Interaction Lab School of Electrical and Computer Engineering University of Tehran Tehran Iran

With robots increasingly collaborating with humans in everyday tasks, it is important to take steps toward robotic systems capable of understanding the environment. This work focuses on scene understanding to detect pick-and-place tasks given initial and final images from the scene. To this end, a dataset is collected for object detection and pick-and-place task detection. A YOLOv5 network is subsequently trained to detect the objects in the initial and final scenes. Given the detected objects and their bounding boxes, two methods are proposed to detect the pick-and-place tasks which transform the initial scene into the final scene. A geometric method is proposed which tracks objects’ movements in the two scenes and works based on the intersection of the bounding boxes which moved within scenes. Contrarily, the CNN-based method utilizes a Convolutional Neural Network to classify objects with intersected bounding boxes into 5 classes, showing the spatial relationship between the involved objects. The performed pick-and-place tasks are then derived from analyzing the experiments with both scenes. Results show that CNN-based method, by VGG-16 backbone, outscores the geometric method by roughly 12% in certain scenarios, with an overall success rate of 84.3%.MSC Codes computer vision and Pattern Recognition (***), Systems and Control (***) © 2024, CC BY.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Personalization Trade-offs in Designing a Dialogue-based Information System for Support-Seeking of Sexual Violence Survivors 22

Personalization Trade-offs in Designing a Dialogue-based Inf...

引用

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

作者： Kim, Hyeok Hwang, Youjin Lee, Jieun Kwon, Youngjin Park, Yujin Lee, Joonhwan Computer Science Northwestern University EvanstonIL United States Human-Computer Interaction+Design Lab. Seoul National University Seoul Korea Republic of

ISBN: (纸本)9781450391573

The lack of reliable, personalized information often complicates sexual violence survivors' support-seeking. Recently, there is an emerging approach to conversational information systems for support-seeking of sexual violence survivors, featuring personalization with wide availability and anonymity. However, a single best solution might not exist as sexual violence survivors have different needs and purposes in seeking support channels. To better envision conversational support-seeking systems for sexual violence survivors, we explore personalization trade-offs in designing such information systems. We implement a high-fidelity prototype dialogue-based information system through four design workshop sessions with three professional caregivers and interviewed with four self-identified survivors using our prototype. We then identify two forms of personalization trade-offs for conversational support-seeking systems: (1) specificity and sensitivity in understanding users and (2) relevancy and inclusiveness in providing information. To handle these trade-offs, we propose a reversed approach that starts from designing information and inclusive tailoring that considers unspecified needs, respectively. © 2022 ACM.

关键词： Information systems

来源：评论

学校读者我要写书评

暂无评论

Focus Cat: Designing Idle Games to Promote Intermittent Practice and On-Going Adherence of Breathing Exercise for ADHD 22

Focus Cat: Designing Idle Games to Promote Intermittent Prac...

引用

9th ACM SIGCHI Annual Symposium on computer-human interaction in Play, CHI PLAY 2022

作者： Sadprasid, Book Tabor, Aaron Scheme, Erik Bateman, Scott Faculty Of Computer Science University Of New Brunswick Canada Human Computer Interaction Lab University Of New Brunswick Canada Institute Of Biomedical Engineering University Of New Brunswick Canada

ISBN: (纸本)9781450392112

Adherence and frequency of play are well-established challenges for serious games that target breathing exercises, because exercises are most effective when practiced in short and frequent sessions. Researchers have recognized that elements of idle games ideally align with many therapeutic use cases because idle games have a frequently repeating gameplay cycle that draws people in for short play sessions. However, there is little research about how idle games can be used to motivate consistent, frequent practice of therapies like breathing exercises that are often recommended for chronic conditions like ADHD. This paper describes the design and implementation of a therapeutic idle game, Focus Cat. This game is designed to help people with ADHD incorporate breathing exercises into their symptom management routine. Our work demonstrates how the unique qualities of idle game design - including short, frequent gameplay sessions, simple mechanics that make mundane tasks engaging and mechanics that pull and push players into and out of active gameplay - can be used for ADHD breathing exercises to improve adherence and frequency of practice. © 2022 Owner/Author.

关键词： Game design

来源：评论

学校读者我要写书评

暂无评论

Immediate effects of short-duration wellbeing practices on children’s handwriting and posture guided by a social robot

Immediate effects of short-duration wellbeing practices on c...

引用

IEEE International Workshop on Robot and human Communication (ROMAN)

作者： Daniel Carnieto Tozadore Melike Cezayirlioglu Chenyang Wang Barbara Bruno Pierre Dillenbourg Computer-Human Interaction in Learning and Instruction (CHILI) Lab EPFL Lausanne Switzerland

Handwriting practising, as any other repetitive task, often leads the practiser to an overconcentration state where their performance might be affected by postural and mental fatigue. Short breaks to perform unrelated activities, especially relaxation exercises, have shown to be a simple alternative to soften or postpone this phenomenon. Therefore, in this paper we are investigating the immediate effects of different types of short-duration relaxation exercises in the handwriting and posture of children aged from 8 to 10 in handwriting training. We divided 40 children in two groups performing the sessions, guided by a social robot, with small exercises of mindfulness or stretching in the middle of their training. Additionally, we analysed participants’ perceptions towards the robot leading these interactions. Results showed improvements in participants’ handwriting quality and posture maintenance regardless of the condition. Additionally, more positive feedback about the pause was reported from individuals in the mindfulness condition.

关键词：

来源：评论

学校读者我要写书评

暂无评论

"i can run at night!": Using Augmented Reality to Support Nighttime Guided Running for Low-vision Runners 25

"i can run at night!": Using Augmented Reality to Support Ni...

引用

2025 CHI Conference on human Factors in Computing Systems, CHI 2025

作者： Abe, Yuki Matsushima, Keisuke Hara, Kotaro Sakamoto, Daisuke Ono, Tetsuo Human-Computer Interaction Lab Hokkaido University Hokkaido Sapporo Japan School of Computing and Information Systems Singapore Management University Singapore Singapore Kyoto Tachibana University Hokkaido Kyoto Japan

ISBN: (纸本)9798400713941

Dark environment challenges low-vision (LV) individuals to engage in running by following sighted guide - a Caller-style guided running - due to insufficient illumination, because it prevents them from using their residual vision to follow the guide and be aware about their environment. We design, develop, and evaluate RunSight, an augmented reality (AR)-based assistive tool to support LV individuals to run at night. RunSight combines see-through HMD and image processing to enhance one's visual awareness of the surrounding environment (e.g., potential hazard) and visualize the guide's position with AR-based visualization. To demonstrate RunSight's efficacy, we conducted a user study with 8 LV runners. The results showed that all participants could run at least 1km (mean = 3.44 km) using RunSight, while none could engage in Caller-style guided running without it. Our participants could run safely because they effectively synthesized RunSight-provided cues and information gained from runner-guide communication. © 2025 Copyright held by the owner/author(s).

关键词： Photointerpretation

来源：评论

学校读者我要写书评

暂无评论

AI-Driven Relocation Tracking in Dynamic Kitchen Environments

arXiv

引用

arXiv 2025年

作者： Esfahani, Arash Nasr Hosseini, Hamed Masouleh, Mehdi Tale Kalhor, Ahmad Sajedi, Hedieh Human and Robot Interaction Lab School of Electrical and Computer Engineering University of Tehran Tehran Iran School of Mathematics Statistics and Computer Science University of Tehran Tehran Iran

As smart homes become more prevalent in daily life, the ability to understand dynamic environments is essential which is increasingly dependent on AI systems. This study focuses on developing an intelligent algorithm which can navigate a robot through a kitchen, recognizing objects, and tracking their relocation. The kitchen was chosen as the testing ground due to its dynamic nature as objects are frequently moved, rearranged and replaced. Various techniques, such as SLAM feature-based tracking and deep learning-based object detection (e.g., Faster R-CNN), are commonly used for object tracking. Additionally, methods such as optical flow analysis and 3D reconstruction have also been used to track the relocation of objects. These approaches often face challenges when it comes to problems such as lighting variations and partial occlusions, where parts of the object are hidden in some frames but visible in others. The proposed method in this study leverages the YOLOv5 architecture, initialized with pre-trained weights and subsequently fine-tuned on a custom dataset. A novel method was developed, introducing a frame-scoring algorithm which calculates a score for each object based on its location and features within all frames. This scoring approach helps to identify changes by determining the best-associated frame for each object and comparing the results in each scene, overcoming limitations seen in other methods while maintaining simplicity in design. The experimental results demonstrate an accuracy of 97.72%, a precision of 95.83% and a recall of 96.84% for this algorithm, which highlights the efficacy of the model in detecting spatial changes. © 2025, CC BY.

关键词： Optical flows

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：