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479 results for “human interaction”
Dataset on Force Myography for Human Robot Interactions
<p>Force myography (FMG) is a contemporary, non-invasive, wearable technology that can read the underlying muscle volumetric changes during muscle contractions and expansions. The FMG technique can be used in recognizing human applied hand forces during physical human robot interactions (pHRI) via data-driven models. Several FMG-based pHRI studies were conducted in 1D, 2D and 3D during dynamic interactions between a human participant and a robot to realize human applied forces in intended directions during certain tasks. Raw FMG signals were collected via 16-channel (forearm) and 32-channel (forearm and upper arm) FMG bands while interacting with a biaxial stage (linear robot) and a serial manipulator (Kuka robot). In this paper, we present the datasets and their structures, the pHRI environments, and the collaborative tasks performed during the studies. We believe these datasets can be useful in future studies on FMG biosignal-based pHRI control design.</p> <p>The full description of this dataset, it’s components and structure are available in the data descriptor article submitted in MDPI Data. Please cite the following data descriptor article if you are using this open-access dataset for legitimate scientific research:</p> <p> U. Zakia, and C. Menon. Dataset on Force Myography for Human Robot Interactions. Data 2022, vol., no., pp, <a href="https://doi.org/10.3390/data7040050">doi:</a> (submitted on June 2022).</p> <p> </p>
Supplementary data and code: Human–Wildlife Interactions Predict Febrile Illness in Park Landscapes of Western Uganda
<p>Data at code used for analyses.</p> <p>Salerno J, Ross N, Ghai R, et al (2017) Human–Wildlife Interactions Predict Febrile Illness in Park Landscapes of Western Uganda. EcoHealth. doi: 10.1007/s10393-017-1286-1<br> </p>
Data from: Neural interactions in the human frontal cortex dissociate reward and punishment learning
<p>How human prefrontal and insular regions interact while maximizing rewards and minimizing punishments is unknown. Capitalizing on human intracranial recordings, we demonstrate that the functional specificity toward reward or punishment learning is better disentangled by interactions compared to local representations. Prefrontal and insular cortices display non-selective neural populations to reward and punishment. The non-selective responses, however, give rise to context-specific interareal interactions. We identify a reward subsystem with redundant interactions between the orbitofrontal and ventromedial prefrontal cortices, with a driving role of the latter. In addition, we find a punishment subsystem with redundant interactions between the insular and dorsolateral cortices, with a driving role of the insula. Finally, switching between reward and punishment learning is mediated by synergistic interactions between the two subsystems. These results provide a unifying explanation of distributed cortical representations and interactions supporting reward and punishment learning.</p>
From optimality to prestige: Investigating human-animal interactions at Late Mesolithic Hoge Vaart-A27 (Almere, the Netherlands) using a Prey Choice Model
<h2><strong>This dataset is from my Research Master's Thesis from Groningen University. </strong></h2> <p><strong>The dataset includes;</strong></p> <ul> <li>The CSV data necessary to recreate all models and graphs from the thesis</li> <li>The R.Script with all codes</li> </ul> <p><strong>Used packages and programming language: </strong></p> <ul> <li>Kassambara, A. (2023). ggpubr: ‘ggplot2’ Based Publication Ready Plots (R package version 0.6.0) [R; Rstudio]. R Foundation for Statistical Computing.<a href="https://doi.org/%3Chttps://CRAN.R-project.org/package=ggpubr%3E."> <https://CRAN.R-project.org/package=ggpubr>.</a></li> <li>Mei, W., Yu, G., & Greenwell, B. M. (2022). ggtrendline: Add Trendline and Confidence Interval to ‘ggplot’ (R package version 1.0.3) [R; Rstudio]. R Foundation for Statistical Computing.<a href="https://cran.r-project.org/package=ggtrendline"> https://CRAN.R-project.org/package=ggtrendline</a></li> <li>Pedersen, T. L. (2024). patchwork: The Composer of Plots (R package version 1.2.0) [R; RStudio]. R Foundation for Statistical Computing.<a href="https://cran.r-project.org/package=patchwork"> https://CRAN.R-project.org/package=patchwork</a></li> <li>R Core Team. (2022). R: A Language and Environment for Statistical Computing (R version 4.2.1) [R; RStudio]. R Foundation for Statistical Computing.<a href="https://www.r-project.org/"> https://www.R-project.org/</a></li> <li>Sievert, C. (2020). Interactive web-based data visualization with R, plotly, and shiny. Chapman and Hall/CRC.</li> <li>Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.<a href="https://ggplot2.tidyverse.org"> https://ggplot2.tidyverse.org</a></li> <li>Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T., Miller, E., Bache, S., Müller, K., Ooms, J., Robinson, D., Seidel, D., Spinu, V., … Yutani, H. (2019). Welcome to the Tidyverse. Journal of Open Source Software, 4(43), 1686.<a href="https://doi.org/10.21105/joss.01686"> https://doi.org/10.21105/joss.01686</a></li> </ul> <p><strong><span>Abstract</span></strong></p> <p><em><span>The research of the faunal assemblage from Hoge Vaart-A27 (Almere, the Netherlands) provides a new perspective on investigating the connections between foraging strategies and socio-cultural dynamics of the Late Mesolithic and Early Swifterbant communities in Northwest Europe. The significance of this topic lies in its potential to help elucidate the broader socio-cultural aspects of foraging and human-animal interactions during this period. Despite extensive research, there remains a gap in comprehending how prestige influenced prey selection alongside optimal foraging strategies. The study aims to address this gap by employing zooarchaeological methods combined with prey choice modelling to investigate prey selection complexities in Flevoland’s transitioning cultural and physical landscape. The methods include analyses of species abundance and detailed examination of red deer, horse, aurochs and wild boar. The key findings reveal that while (optimal) foraging strategies were practised at Hoge Vaart-A27, they were significantly influenced by motivations such as prestige. The results contribute significantly to research by offering a glimpse into how Northwest European foragers could have perceived and interacted with big game beyond subsistence. </span></em></p> <p><strong><span>Keywords</span></strong><span> </span><span>human-animal relationships, prestige, profitability, prey choice, Swifterbant Culture, optimal foraging theory, costly signalling theory</span></p>
Illumina Sequencing Data for "Elucidating human gut microbiota interactions that robustly inhibit diverse Clostridioides difficile strains across different nutrient landscapes"
<p>Illumina Sequencing Data for Sulaiman et al., "Elucidating human gut microbiota interactions that robustly inhibit diverse Clostridioides difficile strains across different nutrient landscapes".</p>
Data and Code to Accompany: "On-Body Textile Hysteresis Estimation for Personalized Physical Human-Robot Interaction"
<p>Data files, Matlab code, and figures to accompany "On-Body Textile Hysteresis Estimation for Personalized Physical Human-Robot Interaction" (submitted for peer-review on 7/20/2024).</p>
Fig. 2. Giardia duodenalis 18S in Giardia duodenalis and Cryptosporidium occurrence in Australian sea lions (Neophoca cinerea) exposed to varied levels of human interaction
Fig. 2. Giardia duodenalis 18S rRNA phylogenetic tree. Phylogenetic analysis of Giardia duodenalis positive samples was performed using a fragment of 18S rRNA gene. Analysis within the phylogenetic framework placed sea lion samples within the assemblage B (n = 27) and assemblage A clades (n = 1). Branch values indicate percent bootstrapping using 1000 replicates.
Fig. 1 in Giardia duodenalis and Cryptosporidium occurrence in Australian sea lions (Neophoca cinerea) exposed to varied levels of human interaction
Fig. 1. (A) Western Australia sampling locations. Faecal samples were collected from West Australia Sea lion colonies on Beagle and North Fisherman Islands. Coastal settlements and human impacted camping locations within close proximity to Sea lion colonies are indicated. (B) South Australia sampling locations. Australian sea lion faecal samples were collected from South Australia colonies; Blefuscu, Lewis, Liguanea, Lilliput, Olive and West Waldegrave Islands. Coastal towns and camping areas within close proximity to Australian Sea lion colonies are identified. (C) South Australia sampling locations: Kangaroo Island. Three colonies were sampled from Kangaroo Island including Cape Gantheaume, Seal Bay and Seal Slide. Coastal towns and recreational beach camping sites on the island are indicated.
Figure 11. Cognitive architecture of the process of social signals perception-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research
<p>A possible cognitive architecture and formalization of the process of learning via<br> multisensory integration is presented in figure 11. The formal description of the proposed cognitive<br> architecture, capable of interpreting social-communication signals, signs and symbols, is based on<br> multisensory integration at the level of perception, parallel processing at the level of interpretation<br> and decision making followed by verbalization, as well as performing an action (eye contact,<br> gesture, mimicking) at the level of behaviour.</p>
Figure 9. The impossible figure (right) is not noticeable as such at first glance-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research
<p>In the lexical domain a similar effect of holistic word processing is described in (Anstis,<br> 2005b). The viewers were presented with pairs of three-letter words in quick succession and asked<br> to report if the upper halves of the successively presented words were identical. Surprisingly, even<br> when the upper halves of the words were orthographically identical, the error rate was reliably<br> higher than expected and in comparison with matching identical successive words. As the author of<br> the study Stuart Anstis points out: “students were processing the words not as separable parts, but<br> holistically as perceptual units that could not be perceptually split apart. These results show that in<br> normal circumstances, the visual system cannot, or does not, divide words into upper and lower<br> halves” (Anstis, 2005b, p. 239).The author relates the results of his study to studies of visual<br> perception of faces as evidence that the mechanism of holistic processing in the visual and the<br> lexical domains is essentially the same.</p>
Figure 8. Machine faces, perceived as more figure-like(left) and less figure-like (right)-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research
<p>In an experimental study on visual perception, addressing directly Gestalt phenomena, a new<br> Gestalt cue for figure-ground assignment was introduced (Vechera et al., 2002). The foreground<br> versus the background organization is a strong determinant for decisions on objects seen among<br> image elements. A well-known set of perceptual cues that are often called Gestalt cues are the size<br> or area, the symmetry and the convexity vs. concavity judgments. It is generally assumed that<br> figures are ‘small, symmetrical and convex’. The authors asked the question whether these cues are<br> all that are necessary for a region of the image to be judged as a figure. The main result of this study<br> is that regions in the lower portion of a stimulus array appear more figure-like than regions in the<br> upper portion of the display.</p>
Figure 6. Noticeable subjective response to the distorted face to the right-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research
<p>Quite surprisingly, if the distortion is viewed in the normal upward position, it evokes strong<br> emotional response to the distorted face to the right in figure 6.</p>
Figure 5. The distortion is barely noticeable if the faces are viewed in the reversed position-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research
<p>According to the feature-based processing theories of human faces the main elements,<br> noticed and remembered in a face, are the eyes, the nose and the mouth (Thompson, 1980; Anstis,<br> 2005a). If, however, we distort some of the elements of a face, these should influence perception,regardless of the position of the image – upright or reversed – from the observer viewpoint. Figure 5<br> presents the reversed image of the face on the left and the reversed distorted face on the right. The<br> distortion was achieved by rotating the eyes of the image in the vertical direction.<br> Figure</p>
Figure 4. Main elements of a face, according to the feature-based processing theories-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research
<p>In 1980 Peter Thompson proposed a new experimental paradigm for investigation of<br> perception, called “face thatcherization” (also named “Thomson illusion”) (Thompson, 1980).<br> Imagine that the following face, depicted in figure 4, is a photo of the then UK Prime Minister<br> Margaret Thatcher.</p>
Figure 3. Robotic faces, similar to smiley emoticons-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research
<p>The smiley Gestalt is the result from a dynamic (evolved in time) cognitive process, it is<br> immediately given in cognition, memorable, emotionally rich and socially relevant and reflects the<br> special kind of Gestalt complexity as defined by Edwin Rausch (1988). Conventional representations<br> of holistic entities like smileys or novel robotic faces come to life because they capture essential<br> Gestalt qualities of the perceived image. For example, in figure 3 the robotic faces resemble the<br> smileys in terms of the evoked internal/emotional reactions.</p>
Figure 2. Taxonomy of the educational technologies for children with ASC-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research
<p>learner (Perlin, 1997).<br> MOSOCO is an emergent technology implemented in a smartphone called “Mobile Social<br> Compass” (Escobedo et al., 2012). Six basic social skills are being encouraged by prompting the<br> user to initiate social contact. The menu displays symbols for the basic social skills – eye contact,<br> space and proximity, start an interaction, asking questions, sharing interests and finish an<br> interaction. The MOSOCO application has turned out to be an extremely useful tool as an online<br> prompt in starting, maintaining and finishing social interaction for both typical and autistic students,<br> as well as to anyone that feels need for improving their social competence.</p>
Figure 1. Necker cube depth illusion (Adapted from [http://en.wikipedia.org/wiki/Necker_cube])-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research
<p>Often the term Gestalt is used interchangeably with the term “emergent whole” (Johansson,<br> 1998). The emergence of a cognitive Gestalt structure adds dynamical and psychophysical forces,<br> which are different from the static notion of the “emergent whole”. An eminent example for the<br> dynamic nature of the emergent process is the Necker cube, which cannot be perceived as static, but<br> rotates in front of our eyes to the complete exhaustion of the eye gazing process (figure 1).</p>
Figure 7. Kanizsa square makes us see a non-existing figure – white square (Adapted from [http://en.wikipedia.org/wiki/Optical_illusion]-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research
<p>A special case of Gestalt processing is the perceiving of illusions. Illusions make us see<br> things or processes that are not there – for example the Kanizsa square like the one depicted in<br> figure 7.</p>
Longitudinal dataset of human-building interactions in U.S. offices
<p>One year of longitudinal data (fifteen minute interval) on local thermal conditions, related behaviors, and comfort of twenty-four occupants of a medium-sized office building in Philadelphia, PA.</p> <p><strong><a href="https://zenodo.org/api/files/378e889e-3651-4d7a-8648-6e4170d7db06/langevincodebook.xlsx">langevincodebook.xlsx</a></strong> defines all the variables and their associated column number in the raw data .txt file.</p> <p><strong><a href="https://zenodo.org/api/files/378e889e-3651-4d7a-8648-6e4170d7db06/langevindata.txt.zip">langevindata.txt.zip</a></strong> includes the full one-year data from the study.</p>
Cairn and Landscape Interaction: A Study of Human Ecodynamics in the North Atlantic
<p>Cairns are very versatile constructions, used for a variety of human activities. For this reason, this project focuses on the study of navigational and agricultural cairns as a way to further the study and understanding of human ecodynamics in the North Atlantic. The project was developed within the wider framework of DataARC, a ciberinfrastructure that interconnects and facilitates access to several North Atlantic datasets.</p> <p>The study uses a variety of interdisciplinary data, methodologies, tools, and approaches in its analysis. It is divided in two case studies. The first case study analyses the role of navigational cairns and their relationship with the roads and the general landscape while creating proposed routes between late medieval/early modern farm networks in Iceland. The results support the hypothesis that cairns were being used as road markers, and suggests a dependence between landscape features and cairn positioning, indicating landscape agency. The second case study focuses on analysing the position and effect of clearance cairns in the Scottish landscape. Archaeological and landscape data (i.e. soil quality, land compaction, erosion levels, and continued use in agricultural practices) were combined in a newly created dataset that was examined using statistical analysis. The results show a correlation between the presence of cairns and a high erosion risk while proposing three effects of clearance cairns on soils: so exhaustive they are no longer cultivable, they are cultivable but have a risk of erosion, and so non-exhaustive that they can still be cultivated.</p> <p>Overall, the project's findings highlight cairn's usefulness in the study of human ecodynamics. The datasets available here belong to both case studies. The first presents an Icelandic (Westfjords) navigational dataset with information from the routes the cairns are located in as well as their likelihood of being a route marker. The second offers a Scottish clearance cairn dataset which includes a variety of archaeological, historical, and geological data. There are two versions of this dataset: the raw version (ClearanceCairnDataset) and the processed version which offers an interactive table which classifies the cairns on the basis of soil type as well as a variety of other variables (InteractiveClearanceCairns). The code used to analyse this dataset and produce bar charts and pie charts has also been uploaded both in its original R file and a XPS version. Both datasets include metadata in PDF format. A CSV file with combinators created to connect these datasets to DataARC's concept map has also been included (CombinatorsForDataARC).</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.