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Methods for scoring text readability have been studied for over a century, and are widely used in research and in user-facing applications in many domains. Thus far, the development and evaluation of such methods have primarily relied on…

Computation and Language · Computer Science 2025-11-05 Keren Gruteke Klein , Shachar Frenkel , Omer Shubi , Yevgeni Berzak

Continuous assessment of task difficulty and mental workload is essential in improving the usability and accessibility of interactive systems. Eye tracking data has often been investigated to achieve this ability, with reports on the…

Human-Computer Interaction · Computer Science 2021-02-15 Youngjun Cho

Analyzing the dynamical properties of mobile objects requires to extract trajectories from recordings, which is often done by tracking movies. We compiled a database of two-dimensional movies for very different biological and physical…

Quantitative Methods · Quantitative Biology 2021-06-09 Benjamin Gallois , Raphaël Candelier

Eye movements hold information about human perception, intention and cognitive state. Various algorithms have been proposed to identify and distinguish eye movements, particularly fixations, saccades, and smooth pursuits. A major drawback…

Neurons and Cognition · Quantitative Biology 2018-04-04 Wolfgang Fuhl , Thiago Santini , Thomas Kuebler , Nora Castner , Wolfgang Rosenstiel , Enkelejda Kasneci

Accurate estimation of spatial gait characteristics is critical to assess motor impairments resulting from neurological or musculoskeletal disease. Currently, however, methodological constraints limit clinical applicability of…

This paper presents Finger Based Technique (FBT) prototypes, a novel interaction system for blind users, which is especially designed and developed for non-visual touch screen devices and their applications. The FBT prototypes were…

Human-Computer Interaction · Computer Science 2017-08-18 Mohammed Fakrudeen , Sufian Yousef , Mahdi H Miraz

This paper presents a long-term object tracking framework with a moving event camera under general tracking conditions. A first of its kind for these revolutionary cameras, the tracking framework uses a discriminative representation for the…

Computer Vision and Pattern Recognition · Computer Science 2020-09-03 Bharath Ramesh , Shihao Zhang , Hong Yang , Andres Ussa , Matthew Ong , Garrick Orchard , Cheng Xiang

Many web systems rank and present a list of items to users, from recommender systems to search and advertising. An important problem in practice is to evaluate new ranking policies offline and optimize them before they are deployed. We…

Machine Learning · Computer Science 2018-06-15 Shuai Li , Yasin Abbasi-Yadkori , Branislav Kveton , S. Muthukrishnan , Vishwa Vinay , Zheng Wen

The use of mobiles phones when driving have been a major factor when it comes to road traffic incidents and the process of capturing such violations can be a laborious task. Advancements in both modern object detection frameworks and…

Computer Vision and Pattern Recognition · Computer Science 2021-10-11 Steven Carrell , Amir Atapour-Abarghouei

A novel, scalable, on-the-fly model-checking procedure is presented to verify bounded PCTL properties of selected individuals in the context of very large systems of independent interacting objects. The proposed procedure combines…

Logic in Computer Science · Computer Science 2013-12-13 Diego Latella , Michele Loreti , Mieke Massink

Optical character recognition (OCR), a process that converts printed or handwritten text into machine-readable form, is widely used in assistive technology for people with blindness and low vision. Yet most evaluations rely on static…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Junchi Feng , Nikhil Ballem , Mahya Beheshti , Giles Hamilton-Fletcher , Todd Hudson , Maurizio Porfiri , William H. Seiple , John-Ross Rizzo

Object detection has recently experienced substantial progress. Yet, the widely adopted horizontal bounding box representation is not appropriate for ubiquitous oriented objects such as objects in aerial images and scene texts. In this…

Computer Vision and Pattern Recognition · Computer Science 2020-04-09 Yongchao Xu , Mingtao Fu , Qimeng Wang , Yukang Wang , Kai Chen , Gui-Song Xia , Xiang Bai

A single digital newsletter usually contains many messages (regions). Users' reading time spent on, and read level (skip/skim/read-in-detail) of each message is important for platforms to understand their users' interests, personalize their…

Human-Computer Interaction · Computer Science 2023-06-14 Ruoyan Kong , Ruixuan Sun , Charles Chuankai Zhang , Chen Chen , Sneha Patri , Gayathri Gajjela , Joseph A. Konstan

Knowing and predicting dangerous factors within a scene are two key components during autonomous driving, especially in a crowded urban environment. To navigate safely in environments, risk assessment is needed to quantify and associate the…

Robotics · Computer Science 2019-09-19 Ming-Yuan Yu , Ram Vasudevan , Matthew Johnson-Roberson

Interactive high-performance computing is doubtlessly beneficial for many computational science and engineering applications whenever simulation results should be visually processed in real time, i.e. during the computation process.…

Computational Engineering, Finance, and Science · Computer Science 2018-07-03 Ralf-Peter Mundani , Jérôme Frisch , Vasco Varduhn , Ernst Rank

High-quality data is crucial for the pre-training performance of large language models. Unfortunately, existing quality filtering methods rely on a known high-quality dataset as reference, which can introduce potential bias and compromise…

Computation and Language · Computer Science 2024-08-16 Ruihang Li , Yixuan Wei , Miaosen Zhang , Nenghai Yu , Han Hu , Houwen Peng

Eye-tracking technology has gained significant attention in recent years due to its wide range of applications in human-computer interaction, virtual and augmented reality, and wearable health. Traditional RGB camera-based eye-tracking…

Computer Vision and Pattern Recognition · Computer Science 2025-07-11 Argha Sen , Nuwan Bandara , Ila Gokarn , Thivya Kandappu , Archan Misra

Tactile sensing is crucial for robots aiming to achieve human-level dexterity. Among tactile-dependent skills, tactile-based object tracking serves as the cornerstone for many tasks, including manipulation, in-hand manipulation, and 3D…

Robotics · Computer Science 2025-03-19 Hung-Jui Huang , Michael Kaess , Wenzhen Yuan

Grasping objects whose physical properties are unknown is still a great challenge in robotics. Most solutions rely entirely on visual data to plan the best grasping strategy. However, to match human abilities and be able to reliably pick…

Robotics · Computer Science 2021-09-24 Pietro Griffa , Carmelo Sferrazza , Raffaello D'Andrea

Breathing is a spontaneous but controllable body function that can be used for hands-free interaction. Our work introduces "iBreath", a novel system to detect breathing gestures similar to clicks using bio-impedance. We evaluated iBreath's…

Human-Computer Interaction · Computer Science 2025-07-08 Mengxi Liu , Daniel Geißler , Deepika Gurung , Hymalai Bello , Bo Zhou , Sizhen Bian , Paul Lukowicz , Passant Elagroudy
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