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Figure 5. A front view of the "Mary and John Gray Library"-Modeling, Designing, and Implementing an Avatar-based Interactive Map

Figure 5 represents the avatar standing outside and in front of the Mary and John Gray Library after selecting the option “Library”. The library’s main purpose is to facilitate students with a variety of scholarly information within the overall composition of the University’s stated mission. Figure 5 shows the path generated by A* algorithms with a red color.

Figure 3. The 'Welcome Screen' of our implementation-Modeling, Designing, and Implementing an Avatar-based Interactive Map

Figure 3 shows an avatar ready to start the game. The user has the option to click the button called ‘Go Cardinals! Start’ Button. Once that happens, the avatar gets to choose going to one of the buildings of interest mentioned above.

Figure 1. The Statechart for the Player movement and the Navigation System-Modeling, Designing, and Implementing an Avatar-based Interactive Map

The next section describes the Unified Modelling Language (UML) diagrams designed for the project, which are a state diagrams (also known as statecharts) for the Player movement, the Navigation system (Figure 1). In addition, we used a class diagram for the Player and Camera movement (Figure 2). When the avatar-based game starts, the state of the Player is Idle, i.e., Player_IDLE. When the user selects the building, it enables the navigation path towards the destination. If the user selects any arrow keys (Right, Left & Up) the state of the player will change to running (i.e., Player_Running). Also, the path will diminish along with the player movement; hence, the state of navigation path will change to Changing_Path.

Figure 2. The class diagram for the Player and Camera movements-Modeling, Designing, and Implementing an Avatar-based Interactive Map

Figure 4. An inside view of the "Maes building along with the Navigation Path" -Modeling, Designing, and Implementing an Avatar-based Interactive Map

Figure 4 represents the navigation path to the Department of Computer Science inside the Maes building after selecting the option “D.C.S.”, which stands for Department of Computer Science.

Figure 6. An inside view of Mary and John Gray Library-Modeling, Designing, and Implementing an Avatar-based Interactive Map

Figure 6 exhibits the ambience of the study environment that allows students to have group discussions, and when to access Internet, and more. The photographs have been digitized in a very realistic way.

opencc-by-4.0Apr 2018View details →

A Facial Motion Capture System Based on Neural Network Classifier Using RGB-D Data-Figure 7. Avatar 3D model generation

Face region is separated precisely from video frames by using a segmentation method based on skin color. The depth data corresponding to this separated area is taken for a 3D representation from depth data corresponding to each frame. At the end, a file is prepared for each frame consisting of face points with 6 features: X, Y, depth, red, green and blue color. These data are used for producing a 3D model and a graphical avatar for each frame (Figure 7). Figure 8 shows 3D model of some facial expressions.

opencc-by-nc-nd-4.0Feb 2020View details →

Virtual cameras, avatars and real footage of a focus group staged in SQUIVE

A 5-minute video clip can be found online which shows a 2D screen capture of the viewport of a user in SQUIVE (Staging Qualitative Immersive Virtualisation Engine) on a walking tour through the theatre site showing time-slices of the cohort of experimental subjects engaged in different activities across four rooms, for example briefing and dressing, contact dance preparation, exoskeleton performance and focus group. Animated avatars substitute for each participant and the reconstructed 3D scene is populated with virtual cameras that substitute for the actual cameras that recorded the event. Each virtual camera can be selected to re-view the reconstructed scene from the perspective of the actual 2D and 360° camera footage. Moreover, a user can launch AVA360VR (Annotate, Visualise, Analyse 360° video in Virtual Reality) from any virtual 360° camera, so that the user can annotate the clip recorded by any physical camera or microphone in the scene concurrently during the same time-slice.

opencc-by-4.0Oct 2024View details →

AVATAR-Soils Database: A Database of 137Cs and 239+240Pu in Equatorial and Southern Hemisphere Reference Soils

A total of 1122 reference soil profiles with 137Cs and 239+240Pu data from 135 publications were included to build a database under the AVATAR Project (“A reVised dATing framework for quantifying geomorphological processes during the AnthRopocene”), with a focus on compiling available data from the Equatorial and Southern Hemisphere regions. The AVATAR-Soils Database covers parts of the continents of Asia and the Sub-Saharan Africa, and the whole of Oceania and South America. The 137Cs (decay-corrected to 2024) and 239+240Pu data extracted from the literature include the inventory (in Bq/m2) and average activities (in Bq/kg) of the soil profile collected, and the 137Cs/239+240Pu activity and 239Pu/240Pu atomic ratios. In addition to the 137Cs and 239+240Pu data, the associated spatial, climatic, and topographic parameters and sampling details were also added in the database. The database contains the metadata describing the column names, separate tabs for 137Cs and 239+240Pu, and the list of publications.  To cite the AVATAR-Soils Database, please use: Dicen, G., Guillevic, F., Gupta, S., Chaboche, P.-A., Meusburger, K., Sabatier, P., Evrard, O., and Alewell, C.: Distribution and sources of fallout 137Cs and 239+240Pu in equatorial and Southern Hemisphere reference soils, Earth Syst. Sci. Data, 17, 1529–1549, https://doi.org/10.5194/essd-17-1529-2025, 2025. ***NOTES TO RESEARCHERS*** Researchers who wish to add data to the AVATAR-Soils Database may do so through the following link: https://docs.google.com/spreadsheets/d/15R-rDMH6zW65B3ok3YRb0cdtyY67X_mdlC0H1t1atoY/edit?usp=drive_link

opencc-zeroJun 2022View details →

Understanding muscle function during perturbed in vivo locomotion using a muscle avatar approach

To investigate in vivo mechanics of the guinea fowl lateral gastrocnemius (LG) muscle during obstacle negotiation while running on a treadmill, we used mouse extensor digitorum longus (EDL) muscles in ex vivo experiments with in vivo strain inputs from perturbed and steady strides obtained in a previous study. In vivo strain trajectories from a stride down from obstacle to treadmill, two strides up from treadmill to obstacle, and a level stride with no obstacle, as well as a sinusoidal strain trajectory at the same amplitude and frequency, were used as inputs in work loop experiments. With five strain trajectories and three activation patterns, each muscle was used in a total of 15 work loop experiments. EDL forces produced using in vivo strain trajectories were more similar to in vivo LG forces (R2 = 0.58 – 0.94) than to forces produced using the sinusoidal trajectory (average R2 = 0.045). Given the same activation, in vivo strain trajectories produced consistent work loops that showed a shift in muscle function from more positive work during strides up from treadmill to obstacle to less positive work in strides down from obstacle to treadmill. Activation, strain trajectory, and activation*strain trajectory interaction had significant effects on all work loop variables, with the interaction having the largest effect on peak force and work per cycle. These results support the hypothesis that muscle is an active material whose viscoelastic properties are tuned by activation, and which produces forces in response to deformations of length associated with time-varying loads.

opencc-zeroJun 2024View details →

Development of human pancreatic cancer avatars as a model for dynamic immune landscape profiling and personalised therapy

<div> <div> <div> Pancreatic ductal adenocarcinoma (PDAC) is the most common form of pancreatic cancer, a disease with dismal overall survival. Advances in treatment are hindered by a lack of preclinical models. Here we show how a personalised organotypic 'avatar' created from resected tissue, allows spatial and temporal reporting on a complete in situ tumour microenvironment, and mirrors clinical responses. Our perfusion culture method extends tumour slice viability, maintaining stable tumour content, metabolism, stromal composition, and immune cell populations for 12 days. Using multiplexed immunofluorescence and spatial transcriptomics, we identify immune neighbourhoods and potential for immunotherapy. We employed avatars to assess the impact of a pre-clinically validated metabolic therapy and show recovery of stromal and immune phenotypes and tumour re-differentiation. To determine clinical relevance, we monitored avatar response to gemcitabine treatment and identified a patient avatar-predicable response from clinical follow-up. Thus, avatars provide valuable information for the syngeneic testing of novel therapeutics and a truly personalised therapeutic assessment platform for patients. </div> </div> </div>

opencc-by-4.0Oct 2012View details →

Image 35. Pareronia avatar avatar Image 36. Appias nero galba Image 37 in Butterflies (Lepidoptera) of Dibang Valley, Mishmi Hills, Arunachal Pradesh, India

Image 35. Pareronia avatar avatar Image 36. Appias nero galba Image 37. Delias belladonna lugens

opencc-by-4.0Feb 2023View details →

Unintentional synchronization with self-avatar for upper-and lower-body movements

The subjective experience of embodying an avatar when immersed in virtual reality (VR) is known to support the sense of presence and to help with the interaction in a virtual environment. Virtual embodiment is often thought of as the consequence of a replacement of the physical body by a virtual one, with a sense of agency for the avatar obtained by making the avatar’s body follow the user’s movements. This unidirectional motor link was however challenged by studies observing the opposite effect under different circumstances, for example in a slow-motion context or when an arm movement was snapped on a predefined axis. These reports are however still rare or anecdotal. With the idea of a generalized bidirectional relationship between user and avatar in mind, we established a methodology to systematically provoke and study the circumstances under which participants follow the movements of their avatar during long repetitive movements without having been instructed to do so. A preliminary study confirmed that our virtual experimental setup, using full-body motion capture, avatar animation and virtual mirrors, supports a strong sense of agency and body ownership for the avatar while enabling the experimental manipulation of the avatar’s movement. In the main experimental study, where participants performed repetitive upper- and lower- body movements while their avatar animation was either congruent or out-of-phase, we observed that almost all participants synchronized with their avatar at least once, for ~47% of trials for lower limb movements and ~38% for upper limb movements. Participants still reported low agency and ownership for the avatar under the incongruent condition but, most interestingly, some of them also reported that their movements were not influenced by the avatar despite the behavioural effect. Our methodological approach and results contribute to a characterization of the conditions of occurrence of the self-avatar follower effect, and thereby to identify enriched interaction design for VR involving complex avatar-user mutual interdependencies.

ClinicalTrials.gov36/100

An Avatar-based Mobile Phone Intervention to Promote Health in African American MSM

ClinicalTrials.gov study NCT04217174. IPD Sharing: YES. Countries: 1. Publications: 3.

controlledIPD-YESFeb 2026View details →

ClinicalTrials.gov36/100

Cognitive and Metacognitive Evaluation in VR-Based Avatar Therapy for Psychosis

ClinicalTrials.gov study NCT07091344. IPD Sharing: YES. Countries: 1. Publications: 11.

controlledIPD-YESFeb 2026View details →

publicJul 2022View details →

Understanding muscle function during perturbed in vivo locomotion using a muscle avatar approach

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