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181 results for “Tactile”
BiVib - Audio-Tactile Piano Sample Library
<p><strong>BiVib</strong> is an extensive piano sample library consisting of <strong>bi</strong>naural sounds and keyboard <strong>vib</strong>ration signals.<br>Samples were acquired with high-quality audio and vibration measurement equipment on two <a href="https://en.wikipedia.org/wiki/Disklavier">Yamaha Disklavier pianos</a> (one grand and one upright model) by means of computer-controlled playback of each key at ten different MIDI velocity values.<br>Project files (<em>instruments</em> and <em>multis</em>) are provided for use with the software sampler <a href="https://www.native-instruments.com/en/products/komplete/samplers/kontakt-6/">Native Instruments Kontakt</a> (version 5 and above, available for Windows and Mac OS).<br>The nominal specifications of the equipment used in the acquisition chain are reported in a companion document, allowing researchers to calculate physical quantities (e.g. acoustic pressure, vibration acceleration) from the recordings.<br>The library is especially suited for acoustic and vibration research on the piano, as well as for research on multimodal interaction with musical instruments.</p>
Self-excited Contact Resonance Operation of a Tactile Piezoresistive Cantilever Microprobe with Diamond Tip (Data)
<p>Raw data and figures used for the article "Self-excited Contact Resonance Operation of a Tactile Piezoresistive Cantilever Microprobe with Diamond Tip", published in the proceedings of Sensor and Measurement Science International 2021; 2021-05-03 - 2021-05-06; digital.</p>
Tactile Braille Letters Dataset
<p>Contains reading of single braille letters by sliding a robotic tactile sensor over each letter of the braille alphabet, including space. Braille letters are part of the dataset in the STL file format. Tactile data is pulled with 40Hz and saved in the pandas format and dumped in the pickle format. Sigma-delta modulation was used to create event-driven (spike-based) binary discrete-time data streams with four different encoding threshold. For more details please see the linked <a href="https://github.com/event-driven-robotics/tactile_braille_reading">Github repository</a>.</p>
Dataset for the publication: Tactile Convolutional Networks for Online Slip and Rotation Detection
<p>Raw data recorded for the publication "Tactile Convolutional Networks for Online Slip and Rotation Detection" in rosbag format. Each .bag file contains recordings of two tactile sensors sampled with 1kHz as "sensor_msgs/Image" and a third channel for data labeling in the format "sr_robot_msgs/UBI0All". Detailed informations about the preprocessing and labeling are in the publication.</p>
Primary somatosensory cortical processing in tactile communication
<p>Touch is an essential form of non-verbal communication. While language and its neural basis are widely studied, tactile communication is less well understood. We used fMRI and multivariate pattern analyses in pairs of emotionally close adults to examine the neural basis of human-to-human tactile communication. In each pair, a participant was designated either as sender or as receiver. The sender was instructed to communicate specific messages by touching only the arm of the receiver, who was inside the scanner. The receiver then identified the message based on the touch gesture alone. We designed two multivariate decoders – one based on the sender's intent (sender-decoder), and another based on the receiver's response (receiver-decoder). Both were able to differentiate accurately the messages using signals from the receiver's primary somatosensory cortex (S1). The receiver-decoder, which is based on receivers' interpretations of the touch gestures, outperformed the sender-decoder, which is more indicative of sensory input. Our results support the notion of non-sensory factors being represented in S1. </p><p>Content: anonymized T1, functional EPI from run1 and run 2 per subject, analysis script (ECOC_s1.mat)</p><p>Log files can be found here: https://zenodo.org/uploads/10012490</p>
Dataset for paper entitled "Development of Fully Shielded Soft Inductive Tactile Sensors"
<p>This dataset includes all the experimental and FE results presented in the IEEE ICECS 2019 paper "Development of Fully Shielded Soft Inductive Tactile Sensors" (DOI: 10.1109/ICECS46596.2019.8964922).<br> URL of IEEE Xplore:<br> https://ieeexplore.ieee.org/abstract/document/8964922</p> <p>List of data in this dataset:<br> Fig-2-FE modeling-FS-SITS.xlsx<br> Fig-4-Exp_characterization-FS-SITS.xlsx<br> Fig-5-Exp_Demo-FS-SITS.xlsx</p> <p>All the data included in this dataset were collected by Dr. Hongbo Wang.</p> <p>Contact person:<br> Dr. Hongbo Wang, ustcwhb@gmail.com</p>
Supplementary Material—Evaluating tactile feedback in addition to kinesthetic feedback for haptic shape rendering: a pilot study
<p>Supplementary Material of the journal article: "<a href="https://www.frontiersin.org/articles/10.3389/frobt.2024.1298537/abstract">Evaluating tactile feedback in addition to kinesthetic feedback for Haptic Shape rendering: a pilot study</a>": DOI: <a href="https://doi.org/10.3389/frobt.2024.1298537">10.3389/frobt.2024.1298537</a></p> <p> </p>
Good vibrations: Remote-tactile foraging success of wading birds is positively affected by the water content of substrates they forage in
<p>Some taxa of wading birds can locate buried prey by detecting vibratory cues in their foraging substrates while probe-foraging, using a sensory modality called "remote-touch". As more saturated substrates transmit vibrations better, we predict that these birds can detect prey in wetter substrates more easily. We used sensory assays to test whether substrate water content affects the remote-touch foraging success rate of Hadeda Ibises, <em>Bostrychia hagedash</em>. The birds were more successful at locating prey using vibratory cues than when relying on random direct contact with the beak alone. Their remote-touch foraging success rate was positively affected by increasing water contents of the soil, but water content had no effect on their direct contact foraging success (indicating this is not an artefact of ease of probing). This may partially explain the link between the range expansion of this species in southern Africa and increased soil irrigation, as it is easier for the birds to detect prey in wetter substrates. Thus, it is likely that the distribution of other remote-touch foraging birds is affected by substrate water content, and as many of these species are endangered and rely on sensitive wetland habitats, it is vital to understand their sensory requirements for foraging.</p>
Raw data of: "Controlling Hand Movements Relying on Tactile Illusions: A Model Predictive Control Framework"
<p>in Fig4_a.txt: raw the data for the plot of Fig4_a (x and y of the first simulated trajectory from trajectory 1 to 50)</p> <p>in Fig4_b.txt: raw the data for the plot of Fig4_b </p> <p>in Fig4_c.txt raw the data for the plot of Fig4_b. Each column corresponds to the optimal angle of the plate for each of the 50 trajectories simulated in Fig4_a</p>
SwarmTouch: Guiding a Swarm of Micro-Quadrotors with Impedance Control using a Wearable Tactile Interface
<p>The dataset "Flight_Experiments_Data.zip" represents flight experiments information of the SwarmTouch project. During the experiment, involved participants were given a task to navigate a formation of drones through the obstacles maze relying only on tactile or visual feedback. For the experiment, users overcame two different unknown setups of obstacles, each setup firstly with tactile and then with vision feedback (two trials with tactile and two with visual (without glove) feedback in total).</p> <p>The dataset "Patterns_Recognition_Data.zip " represents tactile patterns recognition experimental results. The tactile patterns were developed to represent the static and dynamic parameters of the drone swarm. This information is sent further to a human operator guiding a formation of drones with the help of tactile glove. During the experiment, each pattern was repeated once, and the subject was asked to enter the number of experienced stimuli. Each of the subjects experienced 64 stimuli (8 patterns were repeated 8 times in random order). The time of user response was also recorded.</p>
Biomechanical filtering supports efficient tactile encoding in the human hand
<p>This repository contains the data and code used to produce the results in the publication "Biomechanical filtering supports efficient tactile encoding in the human hand." If you use these data or code, please cite our publication.</p> <p>Full citation: N. Tummala, G. Reardon, B. Dandu, Y. Shao, H. P. Saal, and Y. Visell, "Biomechanical filtering supports efficient tactile encoding in the human hand". bioRxiv, 2024. doi: 10.1101/2023.11.10.565040</p> <p> </p> <p><strong>Abstract From Manuscript</strong></p> <p>Touching an object elicits skin oscillations that are biomechanically transmitted throughout the hand, driving responses in thousands of tactile receptors, including numerous exquisitely sensitive Pacinian corpuscles (PCs). Accepted descriptions of PC functionality characterize their response properties as highly stereotyped, based on experimental data gathered when stimuli are applied near the receptor. However, during natural touch, spiking activity in the majority of PCs is evoked by transmitted skin oscillations that are modified by biomechanical filtering. This filtering mechanism, stemming from dispersive wave dynamics in the skin, bears some similarity to the pre-neuronal filtering of auditory signals by the basilar membrane, a mechanical process that is instrumental to perception. Thus, we sought to clarify how skin biomechanics might influence tactile information encoding in the periphery. We used vibrometry imaging and computational neural experiments to examine the influence of biomechanical filtering on neural activity in whole-hand PC populations. We observed complex, location- and frequency-dependent patterns of filtering that were shaped by tissue mechanics and hand morphology. This source of biomechanical modulation diversified PC population spiking activity and enhanced tactile information encoding efficiency. These findings indicate that biomechanics furnishes a pre-neuronal mechanism that facilitates efficient tactile encoding and processing.</p> <p> </p>
Silencing of hippocampal synaptic transmission impairs spatial reward search on a head-fixed tactile treadmill task
<p>Publication data</p> <p>This repository contains the raw data files for the following manuscript:</p> <p>Title: Silencing of hippocampal synaptic transmission impairs spatial reward search on a head-fixed tactile treadmill task<br> Authors: Jake T. Jordan and J. Tiago Gonçalves<br> Pre-print in bioRxiv. doi:10.1101/2021.09.03.458092 (2021)</p> <p>A summary of all experimental groups and data tables and included as two Excel (.xlsx) files: DREADDs_Cued.xlsl and DREADDs_Spatial.xlsl, these correspond to figures 2 and 3 of the publication, respectively.</p> <p>The raw data files were acquired as described in Jordan et al. (2021a) doi:10.1016/j.xpro.2021.100770 <br> Software code for data acquisition and interpretation is available at doi:10.5281/zenodo.5196612</p>
Good vibrations: Remote-tactile foraging success of wading birds is positively affected by the water content of substrates they forage in
Open the record for dataset details and reuse information.
Data from: Tactile bill-tip organs in seabirds suggests conservation of a deep avian symplesiomorphy
Open the record for dataset details and reuse information.
Kinesthetic information facilitates saccades towards proprioceptive-tactile targets
<p>Saccades to somatosensory targets have longer latencies and are less accurate and precise than saccades to visual targets. Here we examined how different somatosensory information influences the planning and control of saccadic eye movements. Participants fixated a central cross and initiated a saccade as fast as possible in response to a tactile stimulus that was presented to either the index or the middle fingertip of their unseen left hand. In <em>a static condition</em>, the hand remained at a target location for the entire block of trials and the stimulus was presented at a fixed time after an auditory tone. Therefore, the target location was derived only from proprioceptive and tactile information. In a <em>moving</em> <em>condition</em>, the hand was first actively moved to the same target location and the stimulus was then presented immediately. Thus, in the <em>moving condition</em> additional kinesthetic information about the target location was available. We found shorter saccade latencies in the moving compared to the <em>static condition</em>, but no differences in accuracy or precision of saccadic endpoints. In a second experiment, we introduced variable delays after the auditory tone (<em>static condition</em>) or after the end of the hand movement (<em>moving condition</em>) in order to reduce the predictability of the moment of the stimulation and to allow more time to process the kinesthetic information. Again, we found shorter latencies in the <em>moving</em> compared to the <em>static condition</em> but no improvement in saccade accuracy or precision. In a third experiment, we showed that the shorter saccade latencies in the <em>moving condition</em> cannot be explained by the temporal proximity between the relevant event (auditory tone or end of hand movement) and the moment of the stimulation. Our findings suggest that kinesthetic information facilitates planning, but not control, of saccadic eye movements to proprioceptive-tactile targets.</p>
Dataset supporting "Reach-relevant somatosensory signals modulate tactile suppression"
<p>Here we provide the psychophysical and kinematic data reported in: Gertz, H., Voudouris, D., & Fiehler, K. (2017). Reach-relevant somatosensory signals modulate tactile suppression. <em>Journal of Neurophysiology</em>, jn.00052.2017. http://doi.org/10.1152/jn.00052.2017</p> <p>Tactile stimuli on moving limbs are typically attenuated during reach planning and execution. This phenomenon has been related to internal forward models that predict the sensory consequences of a movement. Tactile suppression is considered to occur due to a match between the actual and predicted sensory consequences of a movement, which might free capacities to process novel or task-relevant sensory signals. Here we examined whether and how tactile suppression depends on the relevance of somatosensory information for reaching. Participants reached with their left or right index finger to the unseen index finger of their other hand (body target) or an unseen pad on a screen (external target). In the body target condition, somatosensory signals from the static hand were available for localizing the reach target. Vibrotactile stimuli were presented on the moving index finger before or during reaching, or in a separate no-movement baseline block, and participants indicated whether they detected a stimulus. As expected, detection thresholds before or during reaching were higher compared to baseline. Tactile suppression was also stronger for reaches to body targets than external targets, as reflected by higher detection thresholds and lower precision of detectability. Moreover, detection thresholds were higher when reaching with the left than with the right hand. Our results suggest that tactile suppression is modulated by position signals from the target limb that are required to successfully reach to the own body. Moreover, limb dominance seems to affect tactile suppression presumably due to disparate uncertainty of feedback signals from the moving limb.</p>
Gaze-dependent spatial updating of tactile targets in a localization task
<p>The article which was written based on the uploaded dataset can be retrieved here: https://doi.org/10.3389/fpsyg.2014.00066 </p> <p>Abstract:</p> <p>There is concurrent evidence that visual reach targets are represented with respect to gaze. For tactile reach targets, we previously showed that an effector movement leads to a shift from a gaze-independent to a gaze-dependent reference frame. Here we aimed to unravel the influence of effector movement (gaze shift) on the reference frame of tactile stimuli using a spatial localization task (yes/no paradigm). We assessed how gaze direction (fixation <em>left/right</em>) alters the perceived spatial location (point of subjective equality) of sequentially presented tactile standard and visual comparison stimuli while effector movement (gaze <em>fixed/shifted</em>) and stimulus order (<em>vis-tac/tac-vis</em>) were varied. In the fixed-gaze condition, subjects maintained gaze at the fixation site throughout the trial. In the shifted-gaze condition, they foveated the first stimulus, then made a saccade toward the fixation site where they held gaze while the second stimulus appeared. Only when an effector movement occurred <em>after</em> the encoding of the tactile stimulus (shifted-gaze, <em>tac-vis</em>), gaze s<em>imilarly</em> influenced the perceived location of the tactile and the visual stimulus. In contrast, when gaze was fixed or a gaze shift occurred <em>before</em> encoding of the tactile stimulus, gaze <em>differentially</em> affected the perceived spatial relation of the tactile and the visual stimulus suggesting gaze-dependent coding of only one of the two stimuli. Consistent with previous findings this implies that visual stimuli vary with gaze irrespective of whether gaze is fixed or shifted. However, a gaze-dependent representation of tactile stimuli seems to critically depend on an effector movement (gaze shift) after tactile encoding triggering spatial updating of tactile targets in a gaze-dependent reference frame. Together with our recent findings on tactile reaching, the present results imply similar underlying reference frames for tactile spatial perception and action.</p>
Tactile model of Museum Insel (model only, 100k)
I wanted to show of a little more of the detail for this scan that is not apparent in the [20k face model](https://sketchfab.com/3d-models/tactile-model-of-museum-insel-berlin-de-7ba1aa17e7af4fe5b5e96b924271c284) - click through there if you'd like to download the 10 million face hi-res scan! > Since 2011, a bronze model of the Museum Island, donated by the Rotary Clubs of Berlin-Süd and Berlin-Nord, has been on display there to help visitors – both with and without visual impairments – orient themselves and to educate them about the urban development and historical significance of this UNESCO World Heritage Site. > ~ https://www.smb.museum/en/whats-new/detail/handover-ceremony-for-newly-expanded-tactile-model-of-berlins-museum-island/ 505 images, iPhone 13 Pro, RealityCapture Source: Objaverse 1.0 / Sketchfab
Spike-timing based coding in neuromimetic tactile system enables dynamic object classification
<p>Coding dynamic tactile information in spike timing is essential to human haptic exploration and dexterous object manipulation. Conventional electronic skins generate frames of tactile signals upon interaction with objects and are unfortunately ill-suited for efficient coding of temporal information and rapid feature extraction. Here, we report a neuromorphic tactile system that uses spike timing, especially the first-spike timing, to code dynamic tactile information about touch and grasp. This strategy enables the system to seamlessly code highly dynamic information with millisecond temporal resolution on par with the biological nervous system, yielding dynamic extraction of tactile features. Upon interaction with objects, the system rapidly classifies them in the initial phase of touch and grasp, thus paving the way to fast tactile feedback desired for neuro-robotics and neuro-prosthetics.</p>
Sighting, group composition, and tactile exchange for a study on Atlantic spotted dolphins around Bimini, The Bahamas
<p>Interactions between mammalian social groups are generally antagonistic as individuals in groups cooperate to defend resources from non-members. Members of the family Delphinidae inhabit a three-dimensional habitat where resource defense is usually impractical. Here, we describe a long-term partial fusion of two communities of Atlantic spotted dolphins (<em>Stenella frontalis</em>). The northern community, studied for 30 years, immigrated 160 km to the range of the southern community, observed for 20 years. Both communities featured fission-fusion grouping patterns, strongest associations between adult males, and frequent affiliative contact between individuals. For the five-year period following the immigration, we found members of all age classes and both sexes in mixed groups, but there was a strong bias toward finding immigrant males in mixed groups. Some association levels between males, and males and females, from different communities were as high as the highest within-community associations. Affiliative contacts indicate that these individuals were forming social bonds. The mixing of two separate social groups with new bond formation is rare in terrestrial mammal groups. Such mixing between spotted dolphin groups suggests that adaptations to respond aggressively to 'outsiders' is diminished in this species and possibly other ecologically similar dolphins.</p>
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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.
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