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This paper introduces a live object recognition system that serves as a blind aid. Visually impaired people heavily rely on their other senses such as touch and auditory signals for understanding the environment around them. The act of…

Computer Vision and Pattern Recognition · Computer Science 2018-11-27 Kedar Potdar , Chinmay D. Pai , Sukrut Akolkar

In this preliminary study we address the question of the influence of handedness on the localization of targets perceived through a visuo-auditory substitution device. Participants hold the device in one hand in order to explore the…

Neurons and Cognition · Quantitative Biology 2019-04-22 Sylvain Hanneton , Claudia Munoz

Text input on mobile devices without physical keys can be challenging for people who are blind or low-vision. We interview 12 blind adults about their experiences with current mobile text input to provide insights into what sorts of…

Human-Computer Interaction · Computer Science 2025-10-03 Dylan Gaines , Keith Vertanen

In automotive domain, operation of secondary tasks like accessing infotainment system, adjusting air conditioning vents, and side mirrors distract drivers from driving. Though existing modalities like gesture and speech recognition systems…

Human-Computer Interaction · Computer Science 2021-06-11 Gowdham Prabhakar , Priyam Rajkhowa , Pradipta Biswas

Visual navigation using only a single camera and a topological map has recently become an appealing alternative to methods that require additional sensors and 3D maps. This is typically achieved through an "image-relative" approach to…

For machines to effectively assist humans in challenging visual search tasks, they must differentiate whether a human is simply glancing into a scene (navigational intent) or searching for a target object (informational intent). Previous…

Human-Computer Interaction · Computer Science 2025-08-05 Mansi Sharma , Shuang Chen , Philipp Müller , Maurice Rekrut , Antonio Krüger

In this paper, we propose several solutions to guide an older adult along a safe path using a robotic walking assistant (the c-Walker). We consider four different possibilities to execute the task. One of them is mechanical, with the…

In Human-Computer-Interaction, vibrotactile haptic feedback offers the advantage of being independent of any visual perception of the environment. Most importantly, the user's field of view is not obscured by user interface elements, and…

Human-Computer Interaction · Computer Science 2023-03-30 Max Pascher , Til Franzen , Kirill Kronhardt , Uwe Gruenefeld , Stefan Schneegass , Jens Gerken

Bats use a sophisticated ultrasonic sensing method called echolocation to recognize the environment. Recently, it has been reported that sighted human participants with no prior experience in echolocation can improve their ability to…

Human-Computer Interaction · Computer Science 2023-02-20 Miyoko Tsumaki , Yu Teshima , Takao Tsuchiya , Kaoru Ashihara , Kohta I. Kobayasi , Shizuko Hiryu

How to effectively exploit spatio-temporal information is crucial to capture target appearance changes in visual tracking. However, most deep learning-based trackers mainly focus on designing a complicated appearance model or template…

Computer Vision and Pattern Recognition · Computer Science 2024-01-09 Liangtao Shi , Bineng Zhong , Qihua Liang , Ning Li , Shengping Zhang , Xianxian Li

Visually impaired individuals rely heavily on accurate and timely information about obstacles and their surrounding environments to achieve independent living. In recent years, significant progress has been made in the development of…

Computer Vision and Pattern Recognition · Computer Science 2025-05-21 Fulong Yao , Wenju Zhou , Huosheng Hu

Human eye tracking devices can help to investigate principles of processing visual information by humans. The attention focus movement during the gaze can be used for behavioural analysis of humans. In this work we describe our experimental…

Human-Computer Interaction · Computer Science 2022-01-05 R. Kovtun , S. Radchenko , A. Netreba , O. Sudakov , R. Natarov , Z. Dyka , I. Kabin , P. Langendörfer

Humans routinely retrace paths in a novel environment both forwards and backwards despite uncertainty in their motion. This paper presents an approach for doing so. Given a demonstration of a path, a first network generates a path…

Computer Vision and Pattern Recognition · Computer Science 2018-12-04 Ashish Kumar , Saurabh Gupta , David Fouhey , Sergey Levine , Jitendra Malik

Accurate visualization of interventional devices, such as medical needles, is essential for the safe and effective guidance of minimally invasive procedures. Ultrasound (US) imaging is widely used for needle guidance, but the…

This paper addresses the task of estimating the light arriving from all directions to a 3D point observed at a selected pixel in an RGB image. This task is challenging because it requires predicting a mapping from a partial scene…

Computer Vision and Pattern Recognition · Computer Science 2019-06-19 Shuran Song , Thomas Funkhouser

In this paper, we present a novel vision-based framework for tracking dynamic objects using guidance laws based on a rendezvous cone approach. These guidance laws enable an unmanned aircraft system equipped with a monocular camera to…

Computer Vision and Pattern Recognition · Computer Science 2022-05-17 Pritam Karmokar , Kashish Dhal , William J. Beksi , Animesh Chakravarthy

The brain stimulation and its widespread use is one of the most important subjects in studies of neurophysiology. In brain electrical stimulation methods, following the surgery and electrode implantation, electrodes send electrical impulses…

Neurons and Cognition · Quantitative Biology 2019-01-11 Amirmasoud Ahmadi , Sepideh Farakhor Seghinsara , Mohammad Reza Daliri , Vahid Shalchyan

We introduce to VR a novel imperceptible gaze guidance technique from a recent discovery that human gaze can be attracted to a cue that contrasts from the background in its perceptually non-distinctive ocularity, defined as the relative…

Human-Computer Interaction · Computer Science 2024-12-13 Virmarie Maquiling , Li Zhaoping , Enkelejda Kasneci

Vision-Language Tracking (VLT) aims to localize a target in video sequences using a visual template and language description. While textual cues enhance tracking potential, current datasets typically contain much more image data than text,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-30 X. Feng , D. Zhang , S. Hu , X. Li , M. Wu , J. Zhang , X. Chen , K. Huang

Due to the challenges of processing temporal information, most trackers depend solely on visual discriminability and overlook the unique temporal coherence of video data. In this paper, we propose a lightweight and plug-and-play motion…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Jie Zhao , Xin Chen , Yongsheng Yuan , Michael Felsberg , Dong Wang , Huchuan Lu