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88 results for “gestures”
Intentional gestural communication in Hanuman langur
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Finger gesture recognition with smart skin technology and deep learning
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Introductory gestures before songbird vocal displays are shaped by learning and biological predispositions
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Sensitivity of occipito-temporal cortex, premotor and Broca's areas to visible speech gestures in a familiar language
<p>fMRI dataset related to the study "Sensitivity of occipito-temporal cortex, premotor and Broca’s areas to visible speech gestures in a familiar language". The dataset includes SPM analyses for the contrasts of interest described in the paper.</p>
Video figure: Exploring percussive gesture on iPads with Ensemble Metatone
<p>This video figure shows Ensemble Metatone, a group of percussionist, exploring the possibilities of ensemble performance with two iPad apps, MetaTravels and MetaLonsdale. This process of rehearsal as research was subjected to qualitative analysis to characterise the performers touch gestures and ensemble interactions.</p> <p>The abstract for the paper that accompanied this video is below:</p> <p>Percussionists are unique among western classical instrumentalists in that their artistic practice is defined by an approach to interaction rather than their instruments. While percussionists are accustomed to exploring non-traditional objects to create music, these objects have yet to encompass touch-screen computing devices to any great extent. The proliferation and popularity of these devices now presents an opportunity to explore their use in combining computer-generated sound together with percussive interaction in a musical ensemble.</p> <p>This paper examines Ensemble Metatone, a group formed to explore the "infiltration" of iPad-based musical instruments into a free-improvisation percussion ensemble. We discuss the design approach for two different iPad percussion instruments and the methodology for exploring them with the group over a series of rehearsals and performances. Qualitative analysis of discussions throughout this process shows that the musicians developed a vocabulary of gestures and musical interactions to make musical sense of these new instruments.</p>
The EEG and fMRI signatures of neural integration: An investigation of meaningful gestures and corresponding speech
<p>One of the key features of human interpersonal communication is our ability to integrate information communicated by speech and accompanying gestures. However, it is still not fully understood how this essential combinatory process is represented in the human brain. Functional magnetic resonance imaging (fMRI) studies have unanimously attested the relevance of activation in the posterior superior temporal sulcus/middle temporal gyrus (pSTS/MTG), while electroencephalography (EEG) studies have shown oscillatory activity in specific frequency bands to be associated with multisensory integration. In the current study, we used fMRI and EEG to separately investigate the anatomical and oscillatory neural signature of integrating intrinsically meaningful gestures (IMG; e.g. “Thumbs-up gesture”) and corresponding speech (e.g., “The actor did a good job”). In both the fMRI (<em>n</em>=20) and EEG (<em>n</em>=20) study, participants were presented with videos of an actor either: performing IMG in the context of a German sentence (GG), IMG in the context of a Russian (as a foreign language) sentence (GR), or speaking an isolated German sentence without gesture (SG). The results of the fMRI experiment confirmed that gesture–speech processing of IMG activates the posterior MTG (GG>GR∩GG>SG). In the EEG experiment we found that the identical integration process (GG>GR∩GG>SG) is related to a centrally-distributed alpha (7–13 Hz) power decrease within 700–1400 ms post-onset of the critical word. These new findings suggest that BOLD response increase in the pMTG and alpha power decrease represent the neural correlates of integrating intrinsically meaningful gestures with their corresponding speech.</p>
Raw data of 'He, Y., Gebhardt, H., Steines, M., Sammer, G., Kircher, T., Nagels, A., & Straube, B. (2015). The EEG and fMRI signatures of neural integration: An investigation of meaningful gestures and corresponding speech. Neuropsychologia, 72, 27-42.'
<p>This is the raw data for</p> <p>He, Y., Gebhardt, H., Steines, M., Sammer, G., Kircher, T., Nagels, A., & Straube, B. (2015). The EEG and fMRI signatures of neural integration: An investigation of meaningful gestures and corresponding speech. Neuropsychologia, 72, 27-42.</p> <p>Both second level fMRI data and EEG data for single subjects are provided.</p> <p></p>
Thermal Video Dataset of Hand Gestures
<p>Our dataset is captured with the FLIR Lepton 2.5 thermal camera, which comes with a radiometric shutter and a focal length of 80X60 pixels. The camera's spectral range is 8 µm to 14 µm, and it has a 63.5 degrees of diagonal field of view and a 50 degrees of nominal horizontal field of view. The camera uses a progressive scan array format of 80X60 pixels.</p> <p>The dataset contains 990 sequences of thermal videos each made up of 15/10/5 frames. It's built up of 9 hand gestures, each with 10 classes within. We had eleven individuals do the gestures to ensure a variety of hand sizes, shapes, and temperatures. </p>
Forms and functions of pre-speech gestures in 12- to 15-months old infants
<p>Supplementary material 2 for manuscript titled "<strong><span>Forms and functions of pre-speech gestures in 12- to 15-months old infants"</span></strong></p>
Testosterone amplifies the negative valence of an agonistic gestural display by exploiting receiver perceptual bias
<p>Many animals communicate by performing elaborate displays that are incredibly extravagant and wildly bizarre. So, how do these displays evolve? One idea is that innate sensory biases arbitrarily favor the emergence of certain display traits over others, leading to the design of an unusual display. Here, we study how physiological factors associated with signal production influence this process, a topic that has received almost no attention. We focus on a tropical frog, whose males compete for access to females by performing an elaborate waving display. Our results show that sex hormones like testosterone regulate specific display gestures that exploit a highly conserved perceptual system, evolved originally to detect "dangerous" stimuli in the environment. Accordingly, testosterone makes certain gestures likely appear more perilous to rivals during combat. This suggests that hormone action can interact with effects of sensory bias to create an evolutionary optimum that guides how display exaggeration unfolds.</p>
User Study Data for "Push or Pinch? Exploring Slider Control Gestures for Touchless User Interfaces"
<p>User study data from the Push or Pinch? paper, published at the NordiCHI 2022 conference.</p>
User Study Data from "HaptiGlow: Helping Users Position their Hands for Better Mid-Air Gestures and Ultrasound Haptic Feedback"
<p>This dataset contains user study data from the experiment reported in our IEEE World Haptics Conference 2019 paper.</p>
Data and code for: Discrimination between the facial gestures of vocalizing and non-vocalizing lemurs and small apes using deep learning.
<p>Data and code for: Discrimination between the facial gestures of vocalizing and non-vocalizing lemurs and small apes using deep learning</p>
Spatial–temporal dynamics of gesture–speech integration: a simultaneous EEG-fMRI study
<p>The semantic integration between gesture and speech (GSI) is mediated by the left posterior temporal sulcus/middle temporal gyrus (pSTS/MTG) and the left inferior frontal gyrus (IFG). Evidence from electroencephalography (EEG) suggests that oscillations in the alpha and beta bands may support processes at different stages of GSI. In the present study, we investigated the relationship between electrophysiological oscillations and blood-oxygen-level-dependent (BOLD) activity during GSI. In a simultaneous EEG-fMRI study, German participants (n = 19) were presented with videos of an actor either performing meaningful gestures in the context of a comprehensible German (GG) or incomprehensible Russian sentence (GR), or just speaking a German sentence (SG). EEG results revealed reduced alpha and beta power for the GG vs. SG conditions, while fMRI analyses showed BOLD increase in the left pSTS/MTG for GG > GR ∩ GG > SG. In time-window-based EEG-informed fMRI analyses, we further found a positive correlation between single-trial alpha power and BOLD signal in the left pSTS/MTG, the left IFG, and several sub-cortical regions. Moreover, the alpha-pSTS/MTG correlation was observed in an earlier time window in comparison to the alpha-IFG correlation, thus supporting a two-stage processing model of GSI. Our study shows that EEG-informed fMRI implies multiple roles of alpha oscillations during GSI, and that the method is a best candidate for multidimensional investigations on complex cognitive functions such as GSI.</p>
EMG from forearm datasets for hand gestures recognition
<p>This dataset contains 2 sets of sEMG recordings: a set containing <strong>PINCH</strong> movements (4 pinches between thumb and index/middle/ring/pinky finger) and a set containing <strong>ROSHAMBO</strong> movements (3 movements: rock, paper, scissors). Both sets have been recorded with the Myo armband. The Myo is composed of 8 equally spaced non-invasive sEMG sensors that can be placed approximately around the middle of the forearm. The sampling frequency of Myo is 200 Hz. The output of the Myo is a.u.. The <strong>PINCH </strong>set contains recordings of 22 subjects whilst the <strong>ROSHAMBO</strong> set contains recordings of 10 subjects. Each subject performed 3 sessions, where each hand gesture was recorded 5 times, each lasting for 2s. Between the gestures a relaxing phase of 1s is present where the muscles could go to the rest position, removing any residual muscular activation. Full details for the <strong>ROSHAMBO</strong> set can be found in:</p> <p>Donati, Elisa, et al. "Processing EMG signals using reservoir computing on an event-based neuromorphic system." <em>2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)</em>. IEEE, 2018.</p> <p>For each session, the dataset contains 2 <strong>*.npy</strong> files one specifying the EMG data (<strong>*_emg.npy</strong>) the other one (<strong>*_ann.npy</strong>) specifying the corresponding gestures along the sampled EMG. The data can be easily loaded in python with numpy.</p> <p> </p>
Navigation Guidance Gestures Carried Out Under CT
ClinicalTrials.gov study NCT00828893. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Brain Stimulation And Group Therapy to Improve Gesture and Social Skills in Psychosis (BrAGG-SoS)
ClinicalTrials.gov study NCT04106427. IPD Sharing: NO. Countries: 1. Publications: 1.
Gesture Behavior and Knowledge on Low Back Pain Among Nurses
ClinicalTrials.gov study NCT01556295. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Gestural Short Term and Working Memory Task
ClinicalTrials.gov study NCT02859649. IPD Sharing: Not stated. Countries: 1. Publications: 6.
How Stuttering and Gestures Influence the Intelligibility of Individuals With Down Syndrome
ClinicalTrials.gov study NCT03698539. IPD Sharing: NO. Countries: 1. Publications: 16.
ScienceDex guides
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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.