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One in twenty-five patients admitted to a hospital will suffer from a hospital acquired infection. If we can intelligently track healthcare staff, patients, and visitors, we can better understand the sources of such infections. We envision…

Embolization, stroke, ischaemic lesion, and perforation remain significant concerns in endovascular interventions. Intravascular sensing of tool interaction with the arteries is advantageous to minimize such complications and enhance…

Robotics · Computer Science 2021-02-16 Masoud Razban , Javad Dargahi , Benoit Boulet

Hand-surface interactions between clinicians, patients, and medical equipment play a central role in pathogen transmission during medical procedures. However, these interactions remain largely unobserved, as current infection-prevention…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Sophokles Ktistakis , Rui Wang , Bastian Grande , Hugo Sax

Hand pose tracking is essential for advancing applications in human-computer interaction. Current approaches, such as vision-based systems and wearable devices, face limitations in portability, usability, and practicality. We present a…

Human-Computer Interaction · Computer Science 2025-10-07 Yingjing Xiao , Zhichao Huang , Junbin Ren , Haichuan Song , Yang Gao , Yuting Bai , Zhanpeng Jin

Open, or non-laparoscopic surgery, represents the vast majority of all operating room procedures, but few tools exist to objectively evaluate these techniques at scale. Current efforts involve human expert-based visual assessment. We…

Computer Vision and Pattern Recognition · Computer Science 2020-12-15 Michael Zhang , Xiaotian Cheng , Daniel Copeland , Arjun Desai , Melody Y. Guan , Gabriel A. Brat , Serena Yeung

Tactile sensing represents a crucial technique that can enhance the performance of robotic manipulators in various tasks. This work presents a novel bioinspired neuromorphic vision-based tactile sensor that uses an event-based camera to…

Robotics · Computer Science 2024-03-18 Omar Faris , Mohammad I. Awad , Murana A. Awad , Yahya Zweiri , Kinda Khalaf

Microsurgery involves the dexterous manipulation of delicate tissue or fragile structures such as small blood vessels, nerves, etc., under a microscope. To address the limitation of imprecise manipulation of human hands, robotic systems…

Robotics · Computer Science 2023-11-20 Jialin Lin , Xiaoqing Guo , Wen Fan , Wei Li , Yuanyi Wang , Jiaming Liang , Weiru Liu , Lei Wei , Dandan Zhang

This paper tackles instrument tracking and 3D visualization challenges in minimally invasive surgery (MIS), crucial for computer-assisted interventions. Conventional and robot-assisted MIS encounter issues with limited 2D camera projections…

Computer Vision and Pattern Recognition · Computer Science 2024-01-19 Shubhangi Nema , Abhishek Mathur , Leena Vachhani

Interaction methods based on computer-vision hold the potential to become the next powerful technology to support breakthroughs in the field of human-computer interaction. Non-invasive vision-based techniques permit unconventional…

Human-Computer Interaction · Computer Science 2017-07-27 Chamin Morikawa , Michael J. Lyons

This paper presents a novel method for monocular patient-to-image intraoperative registration, specifically designed to operate without any external hardware tracking equipment or fiducial point markers. Leveraging a synthetic microscopy…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Yike Zhang , Eduardo Davalos Anaya , Jack H. Noble

This paper describes a global framework that enables contactless human machine interaction using computer vision and machine learning techniques. The main originality of our framework is that only a very simple image acquisition device, as…

Human-Computer Interaction · Computer Science 2019-07-12 Frederic Magoules , Qinmeng Zou

Tracking of rotation and translation of medical instruments plays a substantial role in many modern interventions. Traditional external optical tracking systems are often subject to line-of-sight issues, in particular when the region of…

Computer Vision and Pattern Recognition · Computer Science 2018-06-13 Benjamin Busam , Patrick Ruhkamp , Salvatore Virga , Beatrice Lentes , Julia Rackerseder , Nassir Navab , Christoph Hennersperger

In this paper, we present a multimodal mobile teleoperation system that consists of a novel vision-based hand pose regression network (Transteleop) and an IMU-based arm tracking method. Transteleop observes the human hand through a low-cost…

Hand gesture is one of the most important means of touchless communication between human and machines. There is a great interest for commanding electronic equipment in surgery rooms by hand gesture for reducing the time of surgery and the…

Computer Vision and Pattern Recognition · Computer Science 2017-10-24 Ebrahim Nasr-Esfahani , Nader Karimi , S. M. Reza Soroushmehr , M. Hossein Jafari , M. Amin Khorsandi , Shadrokh Samavi , Kayvan Najarian

State-of-the-art research of traditional computer vision is increasingly leveraged in the surgical domain. A particular focus in computer-assisted surgery is to replace marker-based tracking systems for instrument localization with pure…

Computer Vision and Pattern Recognition · Computer Science 2025-04-11 Jonas Hein , Nicola Cavalcanti , Daniel Suter , Lukas Zingg , Fabio Carrillo , Lilian Calvet , Mazda Farshad , Marc Pollefeys , Nassir Navab , Philipp Fürnstahl

Recent advancements in prosthetic technology have increasingly focused on enhancing dexterity and autonomy through intelligent control systems. Vision-based approaches offer promising results for enabling prosthetic hands to interact more…

Robotics · Computer Science 2025-12-09 Shifa Sulaiman , Akash Bachhar , Ming Shen , Simon Bøgh

In the old age, few people need special care if they are suffering from specific diseases as they can get stroke while they are in normal life routine. Also patients of any age, who are not able to walk, need to be taken care of personally…

Human-Computer Interaction · Computer Science 2016-11-15 J. L. Raheja , Dhiraj , D. Gopinath , Ankit Chaudhary

Despite their potential, markerless hand tracking technologies are not yet applied in practice to the diagnosis or monitoring of the activity in inflammatory musculoskeletal diseases. One reason is that the focus of most methods lies in the…

Tactile information plays a critical role in human dexterity. It reveals useful contact information that may not be inferred directly from vision. In fact, humans can even perform in-hand dexterous manipulation without using vision. Can we…

Robotics · Computer Science 2023-03-28 Zhao-Heng Yin , Binghao Huang , Yuzhe Qin , Qifeng Chen , Xiaolong Wang

Markerless tracking of hands and fingers is a promising enabler for human-computer interaction. However, adoption has been limited because of tracking inaccuracies, incomplete coverage of motions, low framerate, complex camera setups, and…

Computer Vision and Pattern Recognition · Computer Science 2016-02-15 Srinath Sridhar , Franziska Mueller , Antti Oulasvirta , Christian Theobalt
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