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Humans display the remarkable ability to sense the world through tools and other held objects. For example, we are able to pinpoint impact locations on a held rod and tell apart different textures using a rigid probe. In this work, we…

People with blindness and low vision (pBLV) face challenges in navigating. Mobility aids are crucial for enhancing independence and safety. This paper presents an electronic travel aid that leverages a haptic-based, higher-order sensory…

Human-Computer Interaction · Computer Science 2024-08-28 Junchi Feng , Giles Hamilton-Fletcher , Todd E Hudson , Mahya Beheshti , Maurizio Porfiri , John-Ross Rizzo

This study aims to investigate the teachers perceptions on the use of visual aids (e.g., animation videos, pictures, films and projectors) as a motivational tool in enhancing students interest in reading literary texts. To achieve the aim…

Computers and Society · Computer Science 2013-05-29 Melor Md Yunus , Hadi Salehi , Dexter Sigan Anak John

Humans sense of distance depends on the integration of multi sensory cues. The incoming visual luminance, auditory pitch and tactile vibration could all contribute to the ability of distance judgement. This ability can be enhanced if the…

Human-Computer Interaction · Computer Science 2020-02-18 Feng Feng , Tony Stockman

Visuotactile sensors provide high-resolution tactile information but are incapable of perceiving the material features of objects. We present UltraTac, an integrated sensor that combines visuotactile imaging with ultrasound sensing through…

Robotics · Computer Science 2025-09-01 Junhao Gong , Kit-Wa Sou , Shoujie Li , Changqing Guo , Yan Huang , Chuqiao Lyu , Ziwu Song , Wenbo Ding

With the development of VR technology, especially the emergence of the metaverse concept, the integration of visual and tactile perception has become an expected experience in human-machine interaction. Therefore, achieving spatial-temporal…

Robotics · Computer Science 2024-01-01 Fuqiang Zhao , Kehan Zhang , Qian Liu , Zhuoyi Lyu

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

Visual feedback plays a crucial role in the process of amputation patients completing grasping in the field of prosthesis control. However, for blind and visually impaired (BVI) amputees, the loss of both visual and grasping abilities makes…

Robotics · Computer Science 2023-08-15 Chunhao Peng , Dapeng Yang , Ming Cheng , Jinghui Dai , Deyu Zhao , Li Jiang

Inspired by the human ability to perform complex manipulation in the complete absence of vision (like retrieving an object from a pocket), the robotic manipulation field is motivated to develop new methods for tactile-based object…

Robotics · Computer Science 2022-07-22 Jingxi Xu , Shuran Song , Matei Ciocarlie

We aimed to develop a tactile display that allows users to actively explore the virtual texture of a surface. We developed a tactile display embedded in an optical mouse that provides a wide range of frequency vibrations to the user's…

Human-Computer Interaction · Computer Science 2024-11-11 Asahi Kurokawa , Masaharu Shimizu , Mitsuhito Ando , Haruo Noma

Data-driven approaches to tactile sensing aim to overcome the complexity of accurately modeling contact with soft materials. However, their widespread adoption is impaired by concerns about data efficiency and the capability to generalize…

Robotics · Computer Science 2020-03-06 Carmelo Sferrazza , Thomas Bi , Raffaello D'Andrea

The human ventral temporal cortex (VTC) plays a critical role in object recognition. Although it is well established that visual experience shapes VTC object representations, the impact of semantic and contextual learning is unclear. In…

Neurons and Cognition · Quantitative Biology 2016-04-04 Alex Clarke , Philip J. Pell , Charan Ranganath , Lorraine K. Tyler

Wearable robotic devices have potential to assist and protect their users. Toward design of a Smart Helmet, this article examines the effectiveness of audio and visual warnings to help participants brace for impacts. A user study examines…

Vision-based tactile sensors (VBTS) have gained widespread application in robotic hands, grippers and prosthetics due to their high spatial resolution, low manufacturing costs, and ease of customization. While VBTSs have common design…

Robotics · Computer Science 2025-09-05 Haoran Li , Yijiong Lin , Chenghua Lu , Max Yang , Efi Psomopoulou , Nathan F Lepora

For the human operator, it is often easier and faster to catch a small size quadrotor right in the midair instead of landing it on a surface. However, interaction strategies for such cases have not yet been considered properly, especially…

This paper presents a control interface to translate the residual body motions of individuals living with severe disabilities, into control commands for body-machine interaction. A custom, wireless, wearable multi-sensor network is used to…

This paper reports on a study that helps visually-impaired people to walk more confidently. The study hypothesizes that a smart cane that alerts visually-impaired people over obstacles in front could help them in walking with less accident.…

Emerging immersive display technologies efficiently utilize resources with perceptual graphics methods such as foveated rendering and denoising. Running multiple perceptual graphics methods challenges devices with limited power and…

Computer Vision and Pattern Recognition · Computer Science 2025-08-08 Doğa Yılmaz , He Wang , Towaki Takikawa , Duygu Ceylan , Kaan Akşit

Visual attention mechanisms are widely used in multimodal tasks, as visual question answering (VQA). One drawback of softmax-based attention mechanisms is that they assign some probability mass to all image regions, regardless of their…

Computation and Language · Computer Science 2021-07-09 Pedro Henrique Martins , Vlad Niculae , Zita Marinho , André Martins

Animals (especially humans) have an amazing ability to learn new tasks quickly, and switch between them flexibly. How brains support this ability is largely unknown, both neuroscientifically and algorithmically. One reasonable supposition…

Machine Learning · Computer Science 2017-06-23 Kevin T. Feigelis , Daniel L. K. Yamins
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