2019
Ivanov, Alexander; Danyluk, Kurtis; Jacob, Christian; Willett, Wesley
A Walk Among the Data: Exploration and Anthropomorphism in Immersive Unit Visualizations Journal Article
In: IEEE Computer Graphics and Applications, vol. Special Issue May/June 2019, 2019.
Abstract | Links | BibTeX | Tags: data visualization, immersive analytics, virtual reality
@article{Ivanov2019,
title = {A Walk Among the Data: Exploration and Anthropomorphism in Immersive Unit Visualizations},
author = {Alexander Ivanov and Kurtis Danyluk and Christian Jacob and Wesley Willett},
doi = {10.1109/MCG.2019.2898941},
year = {2019},
date = {2019-05-01},
urldate = {2019-05-01},
journal = {IEEE Computer Graphics and Applications},
volume = {Special Issue May/June 2019},
abstract = {We examine the potential for immersive unit visualizations – interactive virtual environments populated with objects representing individual items in a dataset. Our explorations highlight how immersive unit visualizations in virtual reality can allow viewers to examine data at multiple scales,
support immersive exploration, and create affective, personal experiences with data.},
keywords = {data visualization, immersive analytics, virtual reality},
pubstate = {published},
tppubtype = {article}
}
We examine the potential for immersive unit visualizations – interactive virtual environments populated with objects representing individual items in a dataset. Our explorations highlight how immersive unit visualizations in virtual reality can allow viewers to examine data at multiple scales,
support immersive exploration, and create affective, personal experiences with data.
support immersive exploration, and create affective, personal experiences with data.
Kobsar, D.; Osis, S. T.; Jacob, Christian; Ferber, Reed
Validity of a novel method to measure vertical oscillation during running using a depth camera Journal Article
In: Journal of Biomechanics, vol. 85, pp. 182-186, 2019.
Abstract | Links | BibTeX | Tags: biomechanics, gait analysis, virtual reality
@article{Kobsar2019,
title = {Validity of a novel method to measure vertical oscillation during running using a depth camera},
author = {D. Kobsar and S.T. Osis and Christian Jacob and Reed Ferber },
doi = {10.1016/j.jbiomech.2019.01.006},
year = {2019},
date = {2019-03-06},
urldate = {2019-03-06},
journal = {Journal of Biomechanics},
volume = {85},
pages = {182-186},
abstract = {Recent advancements in low-cost depth cameras may provide a clinically accessible alternative to conventional three-dimensional (3D) multi-camera motion capture systems for gait analysis. However, there remains a lack of information on the validity of clinically relevant running gait parameters such as vertical oscillation (VO). The purpose of this study was to assess the validity of measures of VO during running gait using raw depth data, in comparison to a 3D multi-camera motion capture system. Sixteen healthy adults ran on a treadmill at a standard speed of 2.7 m/s. The VO of their running gait was simultaneously collected from raw depth data (Microsoft Kinect v2) and 3D marker data (Vicon multi-camera motion capture system). The agreement between the VO measures obtained from the two systems was assessed using a Bland-Altman plot with 95% limits of agreement (LOA), a Pearson’s correlation coefficient (r), and a Lin’s concordance correlation coefficient (rc). The depth data from the Kinect v2 demonstrated excellent results across all measures of validity (r = 0.97; rc = 0.97; 95% LOA = −8.0 mm – 8.7 mm), with an average absolute error and percent error of 3.7 (2.1) mm and 4.0 (2.0)%, respectively. The findings of this study have demonstrated the ability of a low cost depth camera and a novel tracking method to accurately measure VO in running gait.},
keywords = {biomechanics, gait analysis, virtual reality},
pubstate = {published},
tppubtype = {article}
}
Recent advancements in low-cost depth cameras may provide a clinically accessible alternative to conventional three-dimensional (3D) multi-camera motion capture systems for gait analysis. However, there remains a lack of information on the validity of clinically relevant running gait parameters such as vertical oscillation (VO). The purpose of this study was to assess the validity of measures of VO during running gait using raw depth data, in comparison to a 3D multi-camera motion capture system. Sixteen healthy adults ran on a treadmill at a standard speed of 2.7 m/s. The VO of their running gait was simultaneously collected from raw depth data (Microsoft Kinect v2) and 3D marker data (Vicon multi-camera motion capture system). The agreement between the VO measures obtained from the two systems was assessed using a Bland-Altman plot with 95% limits of agreement (LOA), a Pearson’s correlation coefficient (r), and a Lin’s concordance correlation coefficient (rc). The depth data from the Kinect v2 demonstrated excellent results across all measures of validity (r = 0.97; rc = 0.97; 95% LOA = −8.0 mm – 8.7 mm), with an average absolute error and percent error of 3.7 (2.1) mm and 4.0 (2.0)%, respectively. The findings of this study have demonstrated the ability of a low cost depth camera and a novel tracking method to accurately measure VO in running gait.
2018
Davison, Timothy; Samavati, Faramarz; Jacob, Christian
LifeBrush: Painting Interactive Agent-based Simulations Conference
2018 International Conference on Cyberworlds (CW), IEEE 2018.
BibTeX | Tags: game engine, LINDSAY, virtual reality
@conference{Davison2018,
title = {LifeBrush: Painting Interactive Agent-based Simulations},
author = {Timothy Davison and Faramarz Samavati and Christian Jacob},
year = {2018},
date = {2018-10-03},
urldate = {2018-10-03},
booktitle = {2018 International Conference on Cyberworlds (CW)},
organization = {IEEE},
keywords = {game engine, LINDSAY, virtual reality},
pubstate = {published},
tppubtype = {conference}
}
Kelly, Justin; Jacob, Christian
evoExplore: Multiscale Visualization of Evolutionary Histories in Virtual Reality Proceedings Article
In: Evolutionary and Biologically Inspired Music, Sound, Art and Design, pp. 112-127, Springer Nature, 2018.
Abstract | Links | BibTeX | Tags: evolutionary design, Evolutionary design - Multiscale - Information visualization, game engine, virtual reality
@inproceedings{evoStar2018,
title = {evoExplore: Multiscale Visualization of Evolutionary Histories in Virtual Reality},
author = {Justin Kelly and Christian Jacob},
doi = {https://doi.org/10.1007/978-3-319-77583-8_8},
year = {2018},
date = {2018-03-07},
urldate = {2018-03-07},
booktitle = {Evolutionary and Biologically Inspired Music, Sound, Art and Design},
pages = {112-127},
publisher = {Springer Nature},
abstract = {evoExplore is a system built for virtual reality (VR) and designed to assist evolutionary design projects. Built with the Unity 3D game engine and designed with future development and expansion in mind, evoExplore allows the user to review and visualize data collected from evolutionary design experiments. Expanding upon existing work, evoExplore provides the tools needed to breed your own evolving populations of designs, save the results from such evolutionary experiments and then visualize the recorded data as an interactive VR experience. evoExplore allows the user to dynamically explore their own evolutionary experiments, as well as those produced by other users. In this document we describe the features of evoExplore, its use of virtual reality and how it supports future development and expansion.},
keywords = {evolutionary design, Evolutionary design - Multiscale - Information visualization, game engine, virtual reality},
pubstate = {published},
tppubtype = {inproceedings}
}
evoExplore is a system built for virtual reality (VR) and designed to assist evolutionary design projects. Built with the Unity 3D game engine and designed with future development and expansion in mind, evoExplore allows the user to review and visualize data collected from evolutionary design experiments. Expanding upon existing work, evoExplore provides the tools needed to breed your own evolving populations of designs, save the results from such evolutionary experiments and then visualize the recorded data as an interactive VR experience. evoExplore allows the user to dynamically explore their own evolutionary experiments, as well as those produced by other users. In this document we describe the features of evoExplore, its use of virtual reality and how it supports future development and expansion.
2016
Yuen, Douglas; Cartwright, Stephen; Jacob, Christian
Eukaryo: Virtual Reality Simulation of a Cell Proceedings Article
In: Proceedings of the 2016 Virtual Reality International Conference, pp. 3:1–3:4, ACM, Laval, France, 2016, ISBN: 978-1-4503-4180-6.
Abstract | Links | BibTeX | Tags: biological simulation, cell metabolism, eukaryotic cell, game engine, machinery of life, virtual reality
@inproceedings{Yuen:2016:EVR:2927929.2927931,
title = {Eukaryo: Virtual Reality Simulation of a Cell},
author = {Douglas Yuen and Stephen Cartwright and Christian Jacob},
doi = {10.1145/2927929.2927931},
isbn = {978-1-4503-4180-6},
year = {2016},
date = {2016-01-01},
urldate = {2016-01-01},
booktitle = {Proceedings of the 2016 Virtual Reality International Conference},
pages = {3:1--3:4},
publisher = {ACM},
address = {Laval, France},
series = {VRIC '16},
abstract = {Eukaryo is an interactive, 3-dimensional, simulated bio-molecular world that allows users to explore the complex environment within a biological cell. Eukaryo was developed using Unity, leveraging the capabilities and high performance of a commercial game engine. Through the use of MiddleVR, our tool can support a wide variety of interaction platforms including 3D virtual reality (VR) environments, such as head-mounted displays and large scale immersive visualization facilities.
Our model demonstrates key structures of a generic eukaryotic cell. Users are able to use multiple modes to explore the cell, its structural elements, its organelles, and some key metabolic processes. In contrast to textbook diagrams and even videos, Eukaryo immerses users directly in the biological environment giving a more effective demonstration of how cellular processes work, how compartmentalization affects cellular functions, and how the machineries of life operate.},
keywords = {biological simulation, cell metabolism, eukaryotic cell, game engine, machinery of life, virtual reality},
pubstate = {published},
tppubtype = {inproceedings}
}
Eukaryo is an interactive, 3-dimensional, simulated bio-molecular world that allows users to explore the complex environment within a biological cell. Eukaryo was developed using Unity, leveraging the capabilities and high performance of a commercial game engine. Through the use of MiddleVR, our tool can support a wide variety of interaction platforms including 3D virtual reality (VR) environments, such as head-mounted displays and large scale immersive visualization facilities.
Our model demonstrates key structures of a generic eukaryotic cell. Users are able to use multiple modes to explore the cell, its structural elements, its organelles, and some key metabolic processes. In contrast to textbook diagrams and even videos, Eukaryo immerses users directly in the biological environment giving a more effective demonstration of how cellular processes work, how compartmentalization affects cellular functions, and how the machineries of life operate.
Our model demonstrates key structures of a generic eukaryotic cell. Users are able to use multiple modes to explore the cell, its structural elements, its organelles, and some key metabolic processes. In contrast to textbook diagrams and even videos, Eukaryo immerses users directly in the biological environment giving a more effective demonstration of how cellular processes work, how compartmentalization affects cellular functions, and how the machineries of life operate.