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This paper presents a wearable electrotactile feedback system to enhance contact information for mid-air interactions with virtual objects. In particular, we propose the use of electrotactile feedback to render the interpenetration distance…

Human-Computer Interaction · Computer Science 2021-09-22 Sebastian Vizcay , Panagiotis Kourtesis , Ferran Argelaguet , Claudio Pacchierotti , Maud Marchal

In this paper, we propose a deep learning based assistive system to improve the environment perception experience of visually impaired (VI). The system is composed of a wearable terminal equipped with an RGBD camera and an earphone, a…

Robotics · Computer Science 2019-08-12 Yimin Lin , Kai Wang , Wanxin Yi , Shiguo Lian

Visual impairment impacts more than 2.2 billion people worldwide, and it greatly restricts independent mobility and access. Conventional mobility aids - white canes and ultrasound-based intelligent canes - are inherently limited in the…

Other Quantitative Biology · Quantitative Biology 2025-08-26 Sunkalp Chandra , Umang Sharma , Devesh Khilnani

Optical see-through augmented reality (OST-AR) overlays digital targets and annotations on the physical world, offering promising guidance for hands-on tasks such as medical needle insertion or assembly. Recent work on OST-AR depth…

Graphics · Computer Science 2025-10-03 Hu Guo , Lily Patel , Rohan Gupt

For people affected by blindness and low vision (BLV), safe and independent navigation remains a major challenge, impacting over 2.2 billion individuals worldwide. Although multimodal large language models (MLLMs) offer new opportunities…

Computer Vision and Pattern Recognition · Computer Science 2026-05-01 Junhyeok Kim , Jaewoo Park , Junhee Park , Sangeyl Lee , Jiwan Chung , Jisung Kim , Ji Hoon Joung , Youngjae Yu

To achieve a smooth and safe guiding of a drone formation by a human operator, we propose a novel interaction strategy for a human-swarm communication which combines impedance control and vibrotactile feedback. The presented approach takes…

The collaborative robot market is flourishing as there is a trend towards simplification, modularity, and increased flexibility on the production line. But when humans and robots are collaborating in a shared environment, the safety of…

Robotic guidance systems have shown promise in supporting blind and visually impaired (BVI) individuals with wayfinding and obstacle avoidance. However, most existing systems assume a clear path and do not support a critical aspect of…

Robotics · Computer Science 2026-03-17 Shaojun Cai , Nuwan Janaka , Ashwin Ram , Janidu Shehan , Yingjia Wan , Kotaro Hara , David Hsu

Perceiving spatial information of a virtual object (e.g, direction, distance) is critical yet challenging for blind users seeking an immersive virtual reality (VR) experience. To facilitate VR accessibility for blind users, in this paper,…

Human-Computer Interaction · Computer Science 2025-02-19 Jiasheng Li , Zining Zhang , Zeyu Yan , Yuhang Zhao , Huaishu Peng

This paper presents a framework to navigate visually impaired people through unfamiliar environments by means of a mobile manipulator. The Human-Robot system consists of three key components: a mobile base, a robotic arm, and the human…

Object recognition technologies hold the potential to support blind and low-vision people in navigating the world around them. However, the gap between benchmark performances and practical usability remains a significant challenge. This…

Human-Computer Interaction · Computer Science 2024-08-07 Jonggi Hong , Hernisa Kacorri

One of the main challenges of gaze-based interactions is the ability to distinguish normal eye function from a deliberate interaction with the computer system, commonly referred to as 'Midas touch'. In this paper we propose, EyeTAP (Eye…

Human-Computer Interaction · Computer Science 2021-06-18 Mohsen Parisay , Charalambos Poullis , Marta Kersten

This paper presents AIDEN, an artificial intelligence-based assistant designed to enhance the autonomy and daily quality of life of visually impaired individuals, who often struggle with object identification, text reading, and navigation…

Navigating unfamiliar environments remains one of the most persistent and critical challenges for people who are blind or have limited vision (BLV). Existing assistive tools often rely on online services or APIs, making them costly,…

Human-Computer Interaction · Computer Science 2025-10-28 Dabbrata Das , Argho Deb Das , Farhan Sadaf , Azhar Uddin , Tirtho Mondal

Visually impaired persons find it difficult to know about their surroundings while walking on a road. Walking sticks used by them can only give them information about the obstacles in the stick's proximity. Moreover, it is mostly effective…

Computer Vision and Pattern Recognition · Computer Science 2023-10-24 Shwetang Dubey , Alok Ranjan Sahoo , Pavan Chakraborty

The human hand is our primary interface to the physical world, yet egocentric perception rarely knows when, where, or how forcefully it makes contact. Robust wearable tactile sensors are scarce, and no existing in-the-wild datasets align…

Recurrent or sustained awkward body postures are among the most frequently cited risk factors to the development of work-related musculoskeletal disorders (MSDs). To prevent workers from adopting harmful configurations but also to guide…

Robotics · Computer Science 2022-07-11 Marta Lorenzini , Simone Ciotti , Juan M. Gandarias , Simone Fani , Matteo Bianchi , Arash Ajoudani

Tactile perception is an increasingly popular gateway in human-machine interaction, yet universal design guidelines for tactile displays are still lacking, largely due to the absence of methods to measure sensibility across skin areas. In…

Human-Computer Interaction · Computer Science 2023-10-03 Max vom Stein , Maximilian Hoppe , Maxim Sommer , Kai-Dietrich Wolf

The contact-rich nature of manipulation makes it a significant challenge for robotic teleoperation. While haptic feedback is critical for contact-rich tasks, providing intuitive directional cues within wearable teleoperation interfaces…

Robotics · Computer Science 2026-04-01 Xiangshan Tan , Jingtian Ji , Tianchong Jiang , Pedro Lopes , Matthew R. Walter

Exploring an unfamiliar indoor environment and avoiding obstacles is challenging for visually impaired people. Currently, several approaches achieve the avoidance of static obstacles based on the mapping of indoor scenes. To solve the issue…

Computer Vision and Pattern Recognition · Computer Science 2022-04-05 Wenyan Ou , Jiaming Zhang , Kunyu Peng , Kailun Yang , Gerhard Jaworek , Karin Müller , Rainer Stiefelhagen