Article
Computer Science, Software Engineering
Katherine Fennedy, Jeremy Hartmann, Quentin Roy, Simon Tangi Perrault, Daniel Vogel
Summary: This study adapted the OctoPocus guide to 3D mid-air gestures in Virtual Reality, facilitating novice learning and execution of gestures. Results showed that despite a longer reaction time, OctoPocus improved participants' gesture accuracy and speed during training.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Cybernetics
Jingbo Zhao, Ruize An, Ruolin Xu, Banghao Lin
Summary: This study compared three different hand gesture interfaces for virtual locomotion tasks and found that the Finger Distance gesture and Finger Number gesture show great promise as interfaces.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2022)
Article
Computer Science, Software Engineering
Shariff A. M. Faleel, Michael Gammon, Kevin Fan, Da-Yuan Huang, Wei Li, Pourang Irani
Summary: The study explores the design of Hand Proximate User Interfaces (HPUIs) for head-mounted displays (HMDs) to enable near-body interactions with the display directly placed on or around the user's hand. The research shows that discrete input is more effective when targets are directly on the fingers, while continuous input is equally effective between the fingers and thumb. Additionally, the study found that interactions are more easily controlled in vertical or horizontal axes compared to diagonal movements.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Engineering, Electrical & Electronic
Eric Fujiwara, Matheus dos Santos Rodrigues, Matheus Kaue Gomes, Yu Tzu Wu, Carlos Kenichi Suzuki
Summary: This study introduces the smartphone as an alternative for identifying gestures by detecting muscular contractions through a mobile device attached to the forearm. The system demonstrated high accuracy in evaluating hand postures, providing a simple and effective method for gesture recognition.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Weizhi Nai, Yue Liu, Qinglong Wang, Xiaoying Sun
Summary: This paper proposes a method for allowing users to use self-defined mid-air hand gestures as commands for Human-Computer Interaction (HCI). The gesture detection and recognition algorithm is based on pattern matching using 3 separate sets of features. An experiment is conducted to test the recognition rate and false positive ratio of the method.
IEEE SENSORS JOURNAL
(2022)
Article
Geography
Xiaozhou Zhou, Ruidong Bai
Summary: This study focuses on user-defined gestures in a multisize GIS environment and finds that the gestures required for the same GIS operation commands vary across different map sizes. The research results indicate that larger map sizes increase the amount of gestural movement. Based on this study, a set of gestures for multisize GIS interface interaction has been developed, aiming to provide a guiding foundation for mid-air gesture design in all multisize interfaces.
CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE
(2023)
Article
Computer Science, Software Engineering
Tim Weissker, Pauline Bimberg, Aalok Shashidhar Gokhale, Torsten Kuhlen, Bernd Froehlich
Summary: This paper presents three adaptations of teleportation techniques in virtual reality that allow users to teleport to mid-air targets. These techniques differ in the integration of elevation changes into the conventional target selection process. A user study with 30 participants showed a trade-off between accuracy, task load, and usability ratings among the different methods. Based on these findings, initial design guidelines for mid-air navigation techniques are defined.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Computer Science, Software Engineering
Tim Weissker, Pauline Bimberg, Aalok Shashidhar Gokhale, Torsten Kuhlen, Bernd Froehlich
Summary: This paper presents three adaptations of the classic teleportation metaphor that allow users to travel to mid-air targets in virtual reality. The three techniques differ in how elevation changes are integrated into the target selection process, either simultaneously or as a separate step. A user study with 30 participants showed that the simultaneous method had the highest accuracy, while the two-step method had the lowest task load and received the highest usability ratings. The separate method was found to be least suitable on its own, but could complement other approaches. Based on these findings and previous research, initial design guidelines for mid-air navigation techniques are proposed.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Review
Environmental Sciences
Shahzad Ahmed, Karam Dad Kallu, Sarfaraz Ahmed, Sung Ho Cho
Summary: This article reviews the development of Hand Gesture Recognition (HGR) using radar sensors, presenting available techniques for multi-domain hand gestures data representation and deep-learning-based algorithms. The hardware and algorithmic details of different types of radars used for HGR are discussed, along with quantitative and qualitative analysis of trends in radar-based HCI. The article also covers developed devices and applications based on gesture-recognition through radar, as well as limitations, future aspects, and research directions in the field.
Article
Computer Science, Cybernetics
Shan He, Wei-Feng Tung, Shiang-Lin Lin
Summary: The wearable device market is growing rapidly, but smartwatches have a small touch screen that limits complex operations. There is a lack of research on the user experience of using gestures to interact with wearable devices. This study uses a bone-conduction smartwatch to investigate the user experience of gesture interaction, focusing on pragmatic quality, hedonic quality-identification, hedonic quality-stimulation, and attractiveness. Task load is also evaluated for further analysis.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Software Engineering
Alexander Giovannelli, Jerald Thomas, Logan Lane, Francielly Rodrigues, Doug A. Bowman
Summary: Collaborative virtual environments have the potential to enhance telepresence applications, but shared content may distract from effective communication. This study found that exaggerated gestures, abstract visuals, and a combination of both can improve communication effectiveness.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Multidisciplinary Sciences
Mei-ying Kwan, Kit-lun Yick, Lung Chow, Annie Yu, Sun-pui Ng, Joanne Yip
Summary: This article investigates the impact of postural variations on hand anthropometry and skin strain ratios, highlighting the importance of considering dynamic hand measurements for constructing gloves with optimum fit. Current gloves based on static posture fail to provide the best fit, indicating a need for improvements in glove design to enhance comfort and performance.
Article
Chemistry, Multidisciplinary
Jakub Piskozub, Pawel Strumillo
Summary: This study reports the recognition of Polish Sign Language static gestures using a designed data glove equipped with a reduced number of piezoelectric sensors. The decision tree classifier was applied to rank the importance of sensors, achieving a recognition rate exceeding 90% with just three preselected sensors. This result is significant for reducing design complexity and costs while maintaining reliable performance of the device.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Dorin-Mircea Popovici, Dorin Iordache, Radu Comes, Calin Gheorghe Dan Neamtu, Elena Bautu
Summary: This paper explores the intersection of using Virtual Reality for cultural heritage preservation and using gesture interaction-based technology for touchless and distant interaction with reconstructed artifacts. By modeling and reconstructing museum exhibits, the authors propose navigation and interaction scenarios that allow users to adjust their perspective and freely interact with the artifacts through natural gestures. The usability and utility of the Virtual Reality system are assessed through a questionnaire-based study involving 137 participants over a 6-month period.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Cybernetics
Lucio Tommaso De Paolis, Sergio Teodoro Vite, Miguel Angel Padilla Castaneda, Cesar Fabian Dominguez Velasco, Salvatore Muscatello, Aldo Francisco Hernandez Valencia
Summary: This paper introduces a generic AR-based and wireless gestures platform for image-guided surgery planning, which was evaluated with two minimally invasive surgery scenarios. The experiments showed that participants recognized the prospective applications as useful and feasible for enhancing planning and trans-operative interventions.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2022)
Article
Computer Science, Software Engineering
Sai Ganesh Subramanian, Mathew Eng, Vinayak R. Krishnamurthy, Ergun Akleman
COMPUTERS & GRAPHICS-UK
(2019)
Article
Engineering, Mechanical
Ting-Ju Chen, Vinayak R. Krishnamurthy
JOURNAL OF MECHANICAL DESIGN
(2020)
Article
Computer Science, Software Engineering
Ergun Akleman, Vinayak R. Krishnamurthy, Chia-An Fu, Sai Ganesh Subramanian, Matthew Ebert, Matthew Eng, Courtney Starrett, Haard Panchal
COMPUTERS & GRAPHICS-UK
(2020)
Article
Engineering, Mechanical
Kaustubh Tangsali, Vinayak R. Krishnamurthy, Zohaib Hasnain
Summary: The generalizability of a convolutional encoder-decoder based model in predicting aerodynamic flow field across various flow regimes and geometric variation was assessed. The study found that the generalization ability was affected by flow features, geometric variation, dataset size, and parameter categorization. It was also shown that user-informed choice of training data could reduce computational costs incurred in generating training data.
JOURNAL OF MECHANICAL DESIGN
(2021)
Review
Dentistry, Oral Surgery & Medicine
Wenceslao Piedra-Cascon, Vinayak R. Krishnamurthy, Wael Att, Marta Revilla-Leon
Summary: The study reviewed the elements of vat-polymerization workflow, including 3D printing parameters, support structures, slicing, and post-processing procedures, and how they affect the characteristics of manufactured dental devices. Continuous improvement is needed in selecting optimal printing and supporting parameters, slicing, and post-processing procedures for dental applications. Results demonstrate that the technology, printer, and material selection influence the accuracy and properties of AM dental devices.
JOURNAL OF DENTISTRY
(2021)
Article
Computer Science, Software Engineering
Shantanu Vyas, Ting-Ju Chen, Ronak R. Mohanty, Peng Jiang, Vinayak R. Krishnamurthy
Summary: In this paper, we introduce latent embedded graphs as a simple approach for shape and image interpolation using generative neural network models. The method captures the topological structure within the spatial distribution of the data in the latent space, allowing for approximate geodesic computations. Through systematic study and empirical demonstration on various datasets, the approach is proven to outperform linear interpolation in preserving geometric and topological variations.
COMPUTER-AIDED DESIGN
(2021)
Review
Materials Science, Multidisciplinary
Yuri Estrin, Vinayak R. Krishnamurthy, Ergun Akleman
Summary: This article introduces a design principle that segments a structure into a set of topologically or geometrically interlocked elements, discussing historical background, different types of interlocking structures, generation methods, and potential applications. The proposed structures offer beneficial features such as tolerance to local failures, enhanced bending compliance, high sound and energy absorption, ease of assembly and disassembly, and nearly full recyclability.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2021)
Article
Computer Science, Software Engineering
Vinayak Krishnamurthy, Laxmi Poudel, Matthew Ebert, Daniel H. Weber, Rencheng Wu, Wenchao Zhou, Ergun Akleman, Zhenghui Sha
Summary: We propose LayerLock, an approach for synchronous multi-robot additive manufacturing. Our approach is based on Delaunay Lofts, which are generated by stacking layers of Voronoi partitions of moving Voronoi sites. The key insights of our approach include easy division of cells for collision-free simultaneous material deposition and the natural topological interlocking of Voronoi cells along the layers. We developed the LayerLock algorithm and evaluated it for various geometric parameters, demonstrating its practicality on a two-robot cooperative 3D printing platform.
COMPUTER-AIDED DESIGN
(2022)
Article
Engineering, Biomedical
Taeouk Kim, Mohammadali Hedayat, Veronica V. Vaitkus, Marek Belohlavek, Vinayak Krishnamurthy, Iman Borazjani
Summary: This study successfully detected acoustically active catheters in echocardiography images using a convolutional neural network and color intensity difference detection technique. By combining tracking methods, an automatic, robust, and fast detection method for catheters in echo images was achieved.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2022)
Article
Computer Science, Software Engineering
Vinayak R. Krishnamurthy, Ergun Akleman, Sai Ganesh Subramanian, Matthew Ebert, Jiaqi Cui, Chia-An Fu, Courtney Starrett
Summary: This article introduces a framework for the geometric design and fabrication of geometrically interlocking space-filling shapes called woven tiles. The framework is based on Voronoi partitioning of space and design of curve segments closed under symmetry operations. The mechanical behavior of the woven tiles is evaluated and compared through finite element analysis.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Letter
Dentistry, Oral Surgery & Medicine
Marta Revilla-Leon, Miguel Gomez-Polo, Shantanu Vyas, Abdul B. Barmak, Mutlu ozcan, Wael Att, Vinayak R. Krishnamurthy
JOURNAL OF PROSTHETIC DENTISTRY
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Ronak R. Mohanty, Umema H. Bohari, Vinayak, Eric Ragan
PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2018, VOL 1B
(2018)
Proceedings Paper
Computer Science, Artificial Intelligence
Umema Bohari, Ting-Ju Chen, Vinayak
IUI 2018: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES
(2018)
Proceedings Paper
Computer Science, Cybernetics
Cecil Piya, Vinayak, Senthil Chandrasegaran, Niklas Elmqvist, Karthik Ramani
PROCEEDINGS OF THE 2017 ACM SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'17)
(2017)
Proceedings Paper
Computer Science, Cybernetics
Ke Huo, Vinayak, Karthik Ramani
PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON TANGIBLE, EMBEDDED, AND EMBODIED INTERACTION (TEI'17)
(2017)
Review
Computer Science, Software Engineering
Xiaoqun Dai, Yan Hong
Summary: The primary objective of this research is to enhance the understanding of fabric mechanical behaviors, measurement techniques, and parameters essential for cloth simulation. The findings and information presented herein can be effectively utilized to enhance the precision and fidelity of apparel CAD systems, thereby facilitating advancements in virtual garment design and production.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Zhen-Pei Wang, Brian N. Cox, Shemuel Joash Kuehsamy, Mark Hyunpong Jhon, Olivier Sudre, N. Sridhar, Gareth J. Conduit
Summary: Three-dimensional non-periodic woven composite preforms have great design flexibility, but the design space is too large. This paper proposes a Background Vector Method (BVM) for generating candidate designs that can adapt to local architecture and global design goals while ensuring fabricability. Examples are provided to illustrate the design scope and speed of the BVM, as well as pathways for incorporating it into optimization algorithms.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Mohammad Mahdi Behzadi, Jiangce Chen, Horea T. Ilies
Summary: This paper proposes an approach to enhance the topological accuracy of machine learning-based topology optimization methods. The approach utilizes a predicted dual connectivity graph to improve the connectivity of the predicted designs. Experimental results show that the proposed method significantly improves the connectivity of the final predicted structures.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Jiaze Li, Shengfa Wang, Eric Paquette
Summary: In this study, a texture-driven adaptive mesh refinement method is proposed to generate high-quality 3D reliefs. By conducting feature-preserving adaptive sampling of the texture contours and using constraint-driven and feature-adaptive mesh subdivision, the method is able to accurately follow the texture contours and maintain good polygon quality.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Xi Zou, Sui Bun Lo, Ruben Sevilla, Oubay Hassan, Kenneth Morgan
Summary: This work presents a new method for generating triangular surface meshes in three dimensions for the NURBS-enhanced finite element method. The method allows for triangular elements that span across multiple NURBS surfaces, while maintaining the exact representation of the CAD geometry. This eliminates the need for de-featuring complex watertight CAD models and ensures compliance with user-specified spacing function requirements.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Ulderico Fugacci, Chiara Romanengo, Bianca Falcidieno, Silvia Biasotti
Summary: This paper proposes a method for suitably resampling a 3D point cloud while preserving the feature curves to which some points belong. The method enriches the cloud by approximating curvilinear profiles and allows for point removal or insertion without affecting the approximated profiles. The effectiveness of the method is evaluated through experiments and comparisons.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
J. Hinz, O. Chanon, A. Arrigoni, A. Buffa
Summary: The objective of this study is to address the difficulty of simplifying a geometric model while maintaining the accuracy of the solution. A goal-oriented adaptive strategy is proposed to reintroduce geometric features in regions with significant impact on the quantity of interest. This approach enables faster and more efficient simulations.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Hao Qiu, Yixiong Feng, Yicong Gao, Zhaoxi Hong, Jianrong Tan
Summary: Sandwich panels with excellent mechanical properties are widely used, and kirigami-inspired structural designs are receiving increasing attention. In this study, novel graded self-locking kirigami panels based on a tucked-interleaved pattern are developed and analyzed. The experimental and simulation results demonstrate that the proposed kirigami panels have outstanding load-to-weight ratios and can generate graded stiffness and superior specific energy absorption.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Zheng Zhan, Wenping Wang, Falai Chen
Summary: This article proposes a learning based method using a deep neural network to simultaneously parameterize the boundary and interior of a computational domain. The method achieves robust parameterization by optimizing a loss function and fitting a tensor-product B-spline function. Experimental results demonstrate that the proposed approach yields parameterization results with lower distortion and higher bijectivity ratio.
COMPUTER-AIDED DESIGN
(2024)