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VR-Fi: Positioning and Recognizing Hand Gestures via VR-embedded Wi-Fi Sensing

IEEE Transactions on Mobile Computing 2025年

作者： Wang, Hongbo Li, Xin Li, Jiachun Zhu, Haojin Luo, Jun Collaborative InitiativeInterdisciplinary Graduate Programme 639798 Singapore College of Computing and Data Science 639798 Singapore Shanghai Jiao Tong University Department of Computer Science and Engineering Shanghai200240 China

Accurate gesture-based interactions are crucial for enhancing the immersive experience in VR (virtual reality) systems;they in turn necessitate gesture positioning and recognition in physical world. However, existing VR gesture recognition methods are predominantly vision-based, incurring high computational demands and raising privacy concerns. Meanwhile, Wi-Fi-based gesture recognition methods, deemed as promising complement to vision-based ones, typically lack gesture positioning capabilities. To this end, we propose VR-Fi, a gesture positioning and recognition system leveraging VR(-headset)-embedded Wi-Fi. To position gestures across different areas, VR-Fi innovates in a frequency-hopping bandwidth expansion (FHBE) technique to improve spatial resolution for locating a target. Additionally, VR-Fi innovates in neural models to process the FHBE-enhanced Wi-Fi CSI (channel state information) and enable the multi-task requirements of the joint positioning and recognition of hand gestures. Extensive experimental results demonstrate that VR-Fi achieves a positioning accuracy of 94.47%, a recognition accuracy of 92.13%, and a joint accuracy of 89.47%. © 2002-2012 IEEE.

关键词： Frequency hopping

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GENESHIFT: IMPACT OF DIFFERENT SCENARIO SHIFT ON JAILBREAKING LLM

arXiv

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arXiv 2025年

作者： Wu, Tianyi Xue, Zhiwei Liu, Yue Zhang, Jiaheng Hooi, Bryan Ng, See-Kiong Integrative Sciences and Engineering Programme NUS Graduate School National University of Singapore Singapore National University of Singapore Singapore Department of Computer Science School of Computing National University of Singapore Singapore

Jailbreak attacks, which aim to cause LLMs to perform unrestricted behaviors, have become a critical and challenging direction in AI safety. Despite achieving the promising attack success rate using dictionary-based evaluation, existing jailbreak attack methods fail to output detailed contents to satisfy the harmful request, leading to poor performance on GPT-based evaluation. To this end, we propose a black-box jailbreak attack termed GeneShift, by using a genetic algorithm to optimize the scenario shifts. Firstly, we observe that the malicious queries perform optimally under different scenario shifts. Based on it, we develop a genetic algorithm to evolve and select the hybrid of scenario shifts. It guides our method to elicit detailed and actionable harmful responses while keeping the seemingly benign facade, improving stealthiness. Extensive experiments demonstrate the superiority of GeneShift. Notably, GeneShift increases the jailbreak success rate from 0% to 60% when direct prompting alone would fail. We will open-source our code. © 2025, CC BY.

关键词： Genetic algorithms

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Generation of cartoon 2D cracks based on leaf venation patterns

Generation of cartoon 2D cracks based on leaf venation patte...

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作者： Couto, Julia M. Colleoni Marcelino, Tiago Braun, Henry De Lima, Diogo Strube Musse, Soraia Raupp Graduate Programme in Computer Science PUCRS Av. Ipiranga 6681 Porto Alegre RS Brazil

ISBN: (纸本)9780769543598

This paper presents a model for generating 2D cracks in real-time for application in games and cartoon animations. Cracks are generated based on a method previously used for leaf venation patterns. We describe a procedural model to generate cracks that can be customized for application in games, generating different visual results depending on interactive parameters. Results were visually evaluated by users and indicate that hypothesis to adopt leaf venation patterns to generate cracks is valid and possible for interactive applications. © 2010 IEEE.

关键词： Cracks

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A model for real time ocean breaking waves animation

A model for real time ocean breaking waves animation

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作者： De Lima, Diogo Strube Braun, Henry Musse, Soraia Raupp Graduate Programme in Computer Science PUCRS Av. Ipiranga 6681 Porto Alegre/RS Brazil

ISBN: (纸本)9780769543598

This paper presents a procedural model for ocean breaking waves in real time. Since the growth of digital games, more ocean, coast and beach scenarios have appeared, but these games rarely use breaking waves. The model proposed in this paper aims to animate waves with minimal graphic processing unit (GPU) and computer processing unit (CPU) costs. Using a few set of parameters, our procedural model generates an unique ocean-like scenario. This model could be employed in several types of games and applications. Results indicate that our real time breaking waves are visually accepted and have minimal impact on application performance. © 2010 IEEE.

关键词： Animation

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Time-based geographical mapping of communicable diseases

Time-based geographical mapping of communicable diseases

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2012 16th International Conference on Information Visualisation, IV 2012

作者： Cesario, Manuel Jervis, Matthew Luz, Saturnino Masoodian, Masood Rogers, Bill Graduate Programme on Health Promotion University of Franca Brazil Department of Computer Science University of Waikato New Zealand School of Computer Science and Statistics Trinity College Dublin Ireland

ISBN: (纸本)9780769547718

Information visualisation methods can potentially be employed to assist the work of epidemiologists and other health care professionals in mapping the spread of communicable diseases in remote areas, where the task of disease surveillance encompasses temporal elements such as changes in climate, land use and population movements. This paper presents an investigation into the use of time-based visualisation techniques coupled with geographical maps and support for distributed mobile collection of patient data. This study has focused on the development of an information visualisation prototype designed for use by epidemiology researchers on mobile platforms (tablets and smart phones). The prototyping activity has involved the participation of prospective users working in the Amazon region. Initial results are presented and discussed. © 2012 IEEE.

关键词： Mapping

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Mobile support for diagnosis of communicable diseases in remote locations 12

Mobile support for diagnosis of communicable diseases in rem...

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13th International Conference of the NZ Chapter of the ACM's Special Interest Group on Human-computer Interaction, CHINZ 2012

作者： Cesario, Manuel Lundon, Michael Luz, Saturnino Masoodian, Masood Rogers, Bill Graduate Programme on Health Promotion University of Franca Brazil Department of Computer Science University of Waikato New Zealand School of Computer Science and Statistics Trinity College Dublin Ireland

ISBN: (纸本)9781450314749

Surveillance and diagnosis of new and emerging communicable diseases in remote regions, such as the Amazon, is a challenging task. These regions can be difficult to reach, are sparsely populated, and have limited medical and ICT infrastructure. Medical practitioners and community health agents who work in such regions often have very basic qualifications, and therefore have limited knowledge of new and emerging diseases. The increasing capabilities of mobile devices, such as tablets and smart phones, have made them a useful platform for delivery of medical services in remote locations. In this paper we introduce a system that could potentially support diagnosis of vector-borne diseases such as Bartonellosis and Leishmaniasis in areas where specialist healthcare is scarce. In particular, we focus on the image analysis and classification component of this system, which aims to reduce the chance of misdiagnosing these less common diseases as malaria. Copyright 2012 ACM.

关键词： mHealth

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Generation of Cartoon 2D Cracks Based on Leaf Venation Patterns

Generation of Cartoon 2D Cracks Based on Leaf Venation Patte...

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Brazilian Symposium on Games and Digital Entertainment

作者： Julia M. Colleoni Couto Tiago Marcelino Henry Braun Diogo Strube de Lima Soraia Raupp Musse Graduate Programme in Computer Science PUCRS

ISBN: (纸本)9781612843919

关键词： Leaf venation Crack patterns

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A Model For Real Time Ocean Breaking Waves Animation

A Model For Real Time Ocean Breaking Waves Animation

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Brazilian Symposium on Games and Digital Entertainment

作者： Diogo Strube de Lima Henry Braun Soraia Raupp Musse Graduate Programme in Computer Science - PUCRS

ISBN: (纸本)9781612843919

关键词： Procedural modeling Shader Breaking Waves Real Time

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Mobile Application for flood disaster in Jakarta

Mobile Application for flood disaster in Jakarta

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2021 International Conference on Artificial Intelligence and Smart Systems, ICAIS 2021

作者： Anta, Vito Lauda Putra Liestyo, Ivander Albert Warnars, Harco Leslie Hendric Spits Bina Nusantara University School of Information Systems Information Systems Department Jakarta11480 Indonesia Binus Graduate Programme Doctor of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781728195377

Jakarta as the Indonesian capital city has extreme average rainfall in 2020, based on data from the DKI Jakarta Representative Central Bureau of Statistics and the meteorology, climatology, and geophysics agency. From year to year, the city of Jakarta has not been spared from floods which have seriously disrupted the activities of the people of Jakarta. Flood disasters greatly disrupt people's economic activities and cause various other problems including public health problems, one of which is causing infectious diseases. In such a case, this research work proposes a mobile application for flood disaster monitoring that will help the Jakarta government to maintain the flood as real flood information in Jakarta. The Jakarta city government and the residents of the city of Jakarta can work hand in hand using mobile application technology to combat this flood problem and enable the Jakarta city government to quickly overcome any reported flood problems. The proposed mobile application was modeled with a use case and class diagrams. © 2021 IEEE.

关键词： Disasters

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Automatic detection of 2D human postures based on single images

Automatic detection of 2D human postures based on single ima...

引用

24th SIBGRAPI Conference on Graphics, Patterns and Images

作者： Souto Jr., Humberto Musse, Soraia Raupp Pontifícia Universidade Católica Do Rio Grande Do sul - PUCRS Graduate Programme in Computer Science Virtual Human Laboratory Porto Alegre Brazil

ISBN: (纸本)9780769545486

Estimating human pose in static images is a challenging task due to the high dimensional state space, presence of image clutter and ambiguities of image observations. In this paper we propose a method to automatically detect human poses in a single image, based on a 2D model combined with anthropometric data. Furthermore, we use artificial neural networks to detect high level information about the human posture. Experimental results showed that the proposed technique performs well in non trivial images. © 2011 IEEE.

关键词： Neural networks

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