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检索条件"机构=Computer Vision for Human Computer Interaction Lab."

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Generating a General Culturing Microorganism Pattern Using a Delta Parallel Robot and Cam-in-Hand Calibration Method 11

Generating a General Culturing Microorganism Pattern Using a...

引用

11th RSI International Conference on Robotics and Mechatronics, ICRoM 2023

作者： Pasiar, Navid Mohammadi, Arvin Ahangar, Sajjad Khomami, Navid Asadi Masouleh, Mehdi Tale University of Tehran Human and Robot Interaction Lab. Department of Mechanical Eng. Tehran Iran University of Tehran Human and Robot Interaction Lab. Tehran Iran University of Tehran Human and Robot Interaction Lab. School of Electrical and Computer Eng. Tehran Iran

ISBN: (纸本)9798350308105

Robots can play a vital role in lab.ratory tasks, especially in culturing microorganisms. Currently, many of these operations are performed manually, which leads to biased and irreproducible results. This paper explores a calibration method for minimizing errors of a performing two certain lab.ratory tasks of swabbing and pipetting. This leads to enhanced accuracy and productivity. This research intends to culture microorganisms in a petri-dish in a specific pattern, measuring the coordinates of each object in the output image so the object location in the real world can be calculated. This research investigates the Cam-in-Hand method for a Delta Parallel Robot, meaning that the camera is mounted on the End-Effector. In this approach, a method of translating image coordinates into real-world coordinates is introduced. It is essential to provide an additional coordinate (in this case $z -$value) before the conversion, given that the camera outputs a 2D image. A vector-based image, in SVG format, as input to the algorithm generates a set of coordinates which determines the main points for swabbing or pipetting operation. Using this data, an array of coordinates is linearly interpolated in 3D space for the swabbing operation. Conversely, the trajectory generated for pipetting uses the 4-5-6-7 interpolating polynomial. The robot then adheres to following the interpolated array of coordinates as a function of time, using a PID controller. The pipetting device is built with a 3D printer using PLA materials. The calibration is done in different heights. The Camin-Hand method leads to ±1 cm precision as a result. Minimum, maximum, and mean errors are 0.092,1.61 and 0.76 respectively for the central point. © 2023 IEEE.

关键词： Calibration

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Robotic Sorting of Mechanical and Electrical Parts: An Autonomous vision-Based Approach in a Practical Case Study 10

Robotic Sorting of Mechanical and Electrical Parts: An Auton...

引用

10th International Conference on Control, Instrumentation and Automation, ICCIA 2024

作者： Yousefi, Mohammad Dalvand, Mahdi Khomami, Navid Asadi Masouleh, Mehdi Tale Yazdi, Mohammad Reza Haeri University of Tehran Human and Robot Interaction Lab. School of Mechanical Engineering Tehran Iran University of Tehran Human and Robot Interaction Lab. School of Electrical and Computer Engineering Tehran Iran University of Tehran School of Mechanical Engineering Tehran Iran

ISBN: (纸本)9798331509972

In today's industrial landscape, automation has become increasingly vital, particularly in the deployment of robots for tasks such as sorting machine components. The use of robotic systems enhances process accuracy and speed, resulting in significant cost reductions and improved productivity compared to manual lab.r. This paper aims to design and develop an automated sorting system for various types of mechanical and electrical parts, utilizing image processing and machine vision algorithms with a Delta parallel robot equipped with a two-finger gripper. The target mechanical and electrical parts in this study are screws, nuts, metal washers, rubber washers, retaining rings, rectangular keys, wall plugs, resistors, potentiometers, capacitors, batteries, ICs, and LEDs. The YOLOv3 algorithm and Adaptive Thresholding method are employed to detect and distinguish objects from the background, and size measurement is achieved with the help of a custom marker with known dimensions. In this study, transfer learning based on pre-Trained weights of YOLOv3 for the COCO dataset is applied. The proposed system attains a final mean Average Precision (mAP@0.5) value exceeding 0.95 for part detection using YOLOv3. Additionally, it demonstrates an overall pick-And-place success rate exceeding 90%. © 2024 IEEE.

关键词： Grippers

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Dense 3D Gaussian Splatting Initialization for Sparse Image Data

Dense 3D Gaussian Splatting Initialization for Sparse Image ...

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45th Annual Conference on European Association for computer Graphics, EUROGRAPHICS 2024

作者： Seibt, S. Chang, T. von Rymon Lipinski, B. Latoschik, M.E. Game Tech Lab. Faculty of Computer Science Nuremberg Institute of Technology Nuremberg Germany Human-Computer Interaction Group Institute of Computer Science University of Wuerzburg Wuerzburg Germany

ISBN: (纸本)9783038682394

This paper presents advancements in novel-view synthesis with 3D Gaussian Splatting (3DGS) using a dense and accurate SfM point cloud initialization approach. We address the challenge of achieving photorealistic renderings from sparse image data, where basic 3DGS training may result in suboptimal convergence, thus leading to visual artifacts. The proposed method enhances precision and density of initially reconstructed point clouds by refining 3D positions and extrapolating additional points, even for difficult image regions, e.g. with repeating patterns and suboptimal visual coverage. Our contributions focus on improving "Dense Feature Matching for Structure-from-Motion" (DFM4SfM) based on a homographic decomposition of the image space to support 3DGS training: First, a grid-based feature detection method is introduced for DFM4SfM to ensure a well-distributed 3D Gaussian initialization uniformly over all depth planes. Second, the SfM feature matching is complemented by a geometric plausibility check, priming the homography estimation and thereby improving the initial placement of 3D Gaussians. Experimental results on the NeRF-LLFF dataset demonstrate that this approach achieves superior qualitative and quantitative results, even for fewer views, and the potential for a significantly accelerated 3DGS training with faster convergence. © 2024 The Authors.

关键词： Gaussian distribution

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Investigating the Effects of Real-time Student Monitoring Interface on Instructors’ Monitoring Practices in Online Teaching 24

Investigating the Effects of Real-time Student Monitoring In...

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Proceedings of the CHI Conference on human Factors in Computing Systems

作者： Ha Yeon Lee Seora Park Esther Hehsun Kim Jiyeon Seo Hajin Lim Joonhwan Lee Human-Computer Interaction+Design Lab. Seoul National University Korea Republic of Human-Computer Interaction+Design Lab Seoul National University Korea Republic of

ISBN: (纸本)9798400703300

The shift to online education, accelerated by the COVID-19 pandemic, has introduced challenges in monitoring student engagement, an essential aspect of effective teaching. In response, real-time student monitoring interfaces have emerged as potential tools to aid instructors, yet their efficacy has not been thoroughly examined. Addressing this gap, we conducted a controlled experiment with 20 instructors examining the impact of engagement cues (presence versus absence) and student engagement levels (high versus low) on instructors’ monitoring effectiveness, teaching behavior adjustments, and cognitive load in online classes. Our findings underscored the fundamental benefits of student engagement monitoring interfaces for improving monitoring quality and effectiveness. Furthermore, our study highlighted the critical need for customizable interfaces that could balance the informational utility of engagement cues with the associated cognitive load and psychological stress on instructors. These insights may offer design implications for the design of future student engagement monitoring interfaces.

关键词： Real-time student monitoring system monitoring online learning online teaching student engagement

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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...

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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 availab.lity 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

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Free handwritten string recognition using CNN and DP matching

Free handwritten string recognition using CNN and DP matchin...

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International Symposium on Soft Computing and Intelligent Systems (SCIS)

作者： Yuta Okajima Kento Morita Tetsushi Wakabayashi Human Computer Interaction Lab. Mie University

While handwritten zip code recognition and ledger sheet recognition are in practical use, character recognition technology for free handwritten documents is still in the process of commercialization. If character recognition for free handwritten documents is realized, scanned images of notes and memos written on paper can be converted into text data on a computer, which will be useful for keyword searches and natural language processing. One of the reasons why character recognition for free handwritten documents is still in the research stage is that it is difficult to detect lines and extract characters from a document. In order to improve the accuracy of character recognition for free handwritten documents, it is first necessary to improve the accuracy of line detection and character segmentation. In this study, we propose a method to segment characters from words or strings using CNN and dynamic programming so that the sum of character similarities is optimal, and aim to improve the accuracy of character segmentation

关键词： Handwriting recognition Codes Keyword search Natural language processing Dynamic programming Character recognition Commercialization

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From Lenses to Living Rooms: A Policy Brief on Eye Tracking in XR Before the Impending Boom 6

From Lenses to Living Rooms: A Policy Brief on Eye Tracking ...

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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

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Generating a General Culturing Microorganism Pattern Using a Delta Parallel Robot and Cam-in-Hand Calibration Method

Generating a General Culturing Microorganism Pattern Using a...

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RSI/ISM International Conference on Robotics and Mechatronics (ICROM)

作者： Navid Pasiar Arvin Mohammadi Sajjad Ahangar Navid Asadi Khomami Mehdi Tale Masouleh Department of Mechanical Eng. Human and Robot Interaction Lab. University of Tehran Tehran Iran Human and Robot Interaction Lab. University of Tehran Tehran Iran Human and Robot Interaction Lab. School of Electrical and Computer Eng. University of Tehran Tehran Iran

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Robotic Sorting of Mechanical and Electrical Parts: An Autonomous vision-Based Approach in a Practical Case Study

Robotic Sorting of Mechanical and Electrical Parts: An Auton...

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International Conference on Control, Instrumentation, and Automation

作者： Mohammad Yousefi Mahdi Dalvand Navid Asadi Khomami Mehdi Tale Masouleh Mohammad Reza Haeri Yazdi Human and Robot Interaction Lab. School of Mechanical Engineering University of Tehran Tehran Iran Human and Robot Interaction Lab. School of Electrical and Computer Engineering University of Tehran Tehran Iran School of Mechanical Engineering University of Tehran Tehran Iran

ISBN: (数字)9798331509972

ISBN: (纸本)9798331509989

In today’s industrial landscape, automation has become increasingly vital, particularly in the deployment of robots for tasks such as sorting machine components. The use of robotic systems enhances process accuracy and speed, resulting in significant cost reductions and improved productivity compared to manual lab.r. This paper aims to design and develop an automated sorting system for various types of mechanical and electrical parts, utilizing image processing and machine vision algorithms with a Delta parallel robot equipped with a two-finger gripper. The target mechanical and electrical parts in this study are screws, nuts, metal washers, rubber washers, retaining rings, rectangular keys, wall plugs, resistors, potentiometers, capacitors, batteries, ICs, and LEDs. The YOLOv3 algorithm and Adaptive Thresholding method are employed to detect and distinguish objects from the background, and size measurement is achieved with the help of a custom marker with known dimensions. In this study, transfer learning based on pre-trained weights of YOLOv3 for the COCO dataset is applied. The proposed system attains a final mean Average Precision (mAP@0.5) value exceeding 0.95 for part detection using YOLOv3. Additionally, it demonstrates an overall pick-and-place success rate exceeding $\mathbf{9 0 \%}$.

关键词： YOLO Parallel robots Automation Thresholding (Imaging) Service robots Robot kinematics Transfer learning Size measurement Grippers Sorting

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Incremental Matrix Factorization for Recommender Systems 25

Incremental Matrix Factorization for Recommender Systems

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25th International computer Conference, computer Society of Iran, CSICC 2020

作者： Eslami, Ghazalak Ghaderi, Foad Tarbiat Modares University Human Computer Interaction Lab. Tehran Iran

ISBN: (纸本)9781728159379

With the help of recommender systems, users can find information they do not know about, but they are interested in. These systems are a specific type of intelligent systems that track each user's behavior and discover their behavioral patterns. Among different approaches for implementing recommender systems, Matrix-Factorization (MF) based methods are so popular due to their high accuracy and scalab.lity. However, in real world applications that new ratings are continuously coming, processing the huge amount of data is a computationally expensive task. In this paper, we present a novel incremental matrix factorization method to learn only parts of the data that have been changed or added recently. This way, there is no need to train the system from the scratch. The input data to the proposed recommender system is of two types, batch data and stream data. Batch data is the rating data that is already saved in the system and relates to the activities of users in the past. Stream data is the rating data that enters the system in each time interval. The method is evaluated on two versions of popular MovieLens dataset from GroupLens research. The experimental results confirm that our method reduces the execution time significantly while keeping the prediction error intact. © 2020 IEEE.

关键词： Recommender systems

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