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1,581 results for “walking”
Image 1 in Clarias microspilus, a new walking catfish (Teleostei: Clariidae) from northern Sumatra, Indonesia
Image 1. Clarias microspilus sp. nov., MZB 8706, holotype, 136.1mm SL; Sumatra: Aceh, Sungai Lembang.
Effect of hip abduction assistance on metabolic cost and balance during human walking
<p>The use of wearable robots to provide walking assistance has rapidly grown over the last decade, with significant advances made in robot design and control methods toward reducing physical effort while performing an activity. The reduction in the walking effort has mainly been achieved by assisting forward progression in the sagittal plane. Human gait, however, is a complex movement that combines motions in three planes, not only the sagittal but also the transverse and frontal planes. In the frontal plane, the hip joint plays a key role in gait, including balance. However, wearable robots targeting this motion have rarely been investigated. In this study, we developed a hip abduction assistance wearable robot by formulating the hypothesis that assistance that mimics the biological hip abduction moment or power could reduce the metabolic cost of walking and affect the dynamic balance. We found that hip abduction assistance with a biological moment second peak mimic profile reduced the metabolic cost of walking by 11.6% compared to the normal walking condition (p=0.009). The assistance also influenced balance-related parameters, including the margin of stability. Hip abduction assistance influenced the center-of-mass movement in the mediolateral direction. When the robot assistance was applied as the center of mass moved toward the opposite leg, the assistance replaced some of the efforts that would have otherwise been provided by a human. This indicates that hip abduction assistance can reduce physical effort during human walking while influencing balance.</p>
Multiple motor tasks while walking in patients with chronic bilateral and unilateral vestibulopathy
<p><em><span>This dataset contains whole body movements (i.e. 3D trajectories) and 3D kinematics from 30 subjects (10 with bilateral vestibulopathy, 10 with unilateral vestibulopathy, and 10 healthy subjects) during multiple motor tasks while walking: change of speed, double task, gait with eyes closed, gait with head horizontal turns, gait with head vertical turn, step over an obstacle, gait and U-turn. Participants were instrumented with 35 reflective placed on the whole body according to the Convention Gait Model 1.0. </span></em><em><span>A 12-camera motion capture system (Oqus 7+, Qualisys, Göteborg, Sweden), set at a 100 Hz sampling frequency, was used to track cutaneous reflective markers. The marker trajectories were labeled using Qualisys Tracking Manager software (QTM 2019.3, Qualisys, Göteborg, Sweden) and exported in the C3D file format. Joint kinematics were calculated from the raw data of the marker trajectories and stored in C3D files.</span></em></p>
IMU data from walking trials on a treadmill
<p>This dataset contains inertial measurement unit data from 10 treadmill walking trials. The subject is of legal age and wore a total of 12 Xsens MTw Awinda IMUs. More details in our publication (https://doi.org/10.7717/peerj.15097).</p> <p>Includes a readme file with details.</p>
Dataset of the study "Thirty seconds sit-to-stand test as an alternative for estimating peak oxygen uptake and six-minutes walking distance in women with breast cancer: a cross-sectional study"
<p>Data was collected to study the usefulness of the thirty seconds sit-to-stand test as an alternative for estimating peak oxygen uptake and six-minutes walking distance in women with breast cancer, which is a cross-sectional study derived from the ONCORE project (Randomized controlled trial on comprehensive exercise-based cardiac rehabilitation program for the prevention of anthracyclines and/or anti-HER2 antibodies-induced cardiotoxicity in breast cancer), ClinicalTrials.gov Identifier: NCT03964142</p> <p> </p> <p>DATASET FILE (xlsx) includes 4 sheets:<br> - Dataset_variables: all variables collected pre-post intervention<br> - Descriptive data (baseline): variables used for the descriptive analysis before the intervention (baseline)<br> - Data_CPET-30STS(pre-post): pooled data from CPET-30STS pre-post intervention<br> - Data_6MWD-30STS(pre-post): pooled data from 6MWD-30STS pre-post intervention</p>
Figure 5. Forward walking image sequence-Design and Implementation of an Autonomous Humanoid Robot Based on Fuzzy Rule-Based Motion Controller
<p>The behavior module determines the target position and orientation according to the results<br> of localization and the sensor measurements, and then constructs an action series which consists of<br> the elementary gaits to realize omni directional walking. The implementation of forward walking is<br> applying Virtual Slope Walking in the sagittal plane with the Lateral Swing Movement for lateral<br> stability. The sideward walking and turning is realized by carefully designing the key frames. All of<br> above gait is generated by connecting the key frames with smooth sinusoids. The forward walking<br> speed of PERSIA Humanoid Robot is 25cm/s. The image sequences of forward walking are shown<br> in Figure 5.</p>
Fig. 13. Knuckle walk. A in Anatomical Study of the Right Forearm and Hand of One Western Gorilla (Gorilla gorilla) for Comparison with Humans with Respect to Motions of the Thumb and Fingers
Fig. 13. Knuckle walk. A. The trunk tilts backward because of longer forelimbs; B. The knuckle walk of gorillas is walking with MP joints in extension and PIP joints in deep flexion bearing the weight on the dorsal aspects of the middle phalanges of the hands. Sketches are drawn imitating the walking style shown in movies of NHK BS TV program (Yamagiwa, 2012).
Fig; 16 - MSNM i28026. Straight asymmetric wide trackway with an interior very light possible shell drag trace, diagnostic of fossil and extant land hermit crab walking traces (?Coenobichnus) (× 0.3). in Anomuran and brachyuran trackways and resting trace from the Pliocene of Valduggia (Piedmont, NW Italy): environmental, behavioural, and taphonomic implications
Fig; 16 - MSNM i28026. Straight asymmetric wide trackway with an interior very light possible shell drag trace, diagnostic of fossil and extant land hermit crab walking traces (?Coenobichnus) (× 0.3).
Fig. 2 in A walk on the tundra: Host-parasite interactions in an extreme environment
Fig. 2. Representation of historical drivers for host and parasite distributions across North America during the Last Glacial Maximum and the post-Pleistocene. The map depicts the current geography of the continent showing an overlay of the maximum extent of past glaciations, pathways for expansion and episodic range shifts by ungulates and parasitic nematodes, and the contemporary distributions of caribou of the migratory Dolphin and Union herd, and of the sedentary Kangerlussuaq-Sisimiut and AkiaManiitsoq herds of West Greenland.
Fig. 1 in A walk on the tundra: Host-parasite interactions in an extreme environment
Fig. 1. The parasite fauna of Arctic ungulates has been shaped by historical and contemporary processes. Today, the Arctic today is characterized by extremes in temperature, high seasonality, and low host species diversity and abundance. Rapid climate warming is now a dominant feature that is altering host–parasite interactions in several ways. Temperatures directly affect parasite development and survival in the environment and in ectotherm hosts, and although warming temperatures may initially accelerate transmission, they may quickly exceed the upper thermal tolerance limits for some arctic parasites. Using the Metabolic Theory of Ecology, temperature dependencies can be modeled and generalized to provide broader insights across genera and ecological regions. Climate changes may also alter both host and parasite life-history strategies and phenology, including migration patterns, leading to non-linear changes and tipping points in transmission ecology. Climate warming and associated changes in the cryosphere also alters ecological barriers and corridors, leading to range shifts and new contact zones.
BRAIN Journal-Brain-Like Artificial Intelligence for Automation-Figure 11. Activated Neuro-Symbols for Detecting that a Person walks around in the Room
<p>With the example of Figure 11, also the function of feedback connections can be explained.<br> According to the existing feedforward connections, the neuro-symbol “object stands” would be<br> activated together with the neuro-symbol “object moves” whenever the neuro-symbols “motion”<br> and “object moves” are active, because it is activated by a subset of the neuro-symbols that activate<br> the neuro-symbol “object moves”. This activation would however be undesired in this concrete<br> case. For this reason, an inhibitory feedback connection exists from the neuro-symbol “object<br> moves” to the neuro-symbol “object stands” that inhibits the activation of the neuro-symbol “object<br> stands”.</p>
Is the Gaze Behavior During Stair Walking Affected by Pregnancy?-Figure 2. Eye-tracking glasses image showing the gaze location during stair ascent
<p>At each data collection, participants walked the same U-shaped staircase descending a 22- treads (riser: 0.16 m, run: 0.33 m, and width: 1.15 m), making a short U-turn downstairs and ascending back the staircase, one tread at a time (Figure 1). Only the data of stair walking were taken for further analysis. The staircase was equipped with a handrail on one side but none of the participants used it. To monitor the gaze a SensoMotoric Instruments (SMI) eye-tracking glasses (ETG) system (SMI, Inc.) at a frequency of 60 frames per second and 1280x960 pixel picture was used. Calibration was performed using a matrix of 3 points placed on a board in different highs and different horizontal placement. Mean gaze vectors of the right eye (x, y, z) for stair descent and stair ascent were obtained for each data collection session. Gaze vector x, y, z starts at the eye and heads off in mediolateral, up and down, and anterior-posterior direction, respectively (Figure 2) (Haffegee, Alexandrov, & Barrow, 2007; Scheel, & Staadt, 2015).</p>
Is the Gaze Behavior During Stair Walking Affected by Pregnancy?-Figure 1. A simplified representation of the analysed staircase path
<p>At each data collection, participants walked the same U-shaped staircase descending a 22- treads (riser: 0.16 m, run: 0.33 m, and width: 1.15 m), making a short U-turn downstairs and ascending back the staircase, one tread at a time (Figure 1). Only the data of stair walking were taken for further analysis. The staircase was equipped with a handrail on one side but none of the participants used it. To monitor the gaze a SensoMotoric Instruments (SMI) eye-tracking glasses (ETG) system (SMI, Inc.) at a frequency of 60 frames per second and 1280x960 pixel picture was used. Calibration was performed using a matrix of 3 points placed on a board in different highs and different horizontal placement. Mean gaze vectors of the right eye (x, y, z) for stair descent and stair ascent were obtained for each data collection session. Gaze vector x, y, z starts at the eye and heads off in mediolateral, up and down, and anterior-posterior direction, respectively (Figure 2) (Haffegee, Alexandrov, & Barrow, 2007; Scheel, & Staadt, 2015).</p>
DS6.SSSA-02. Human_Walking_Dataset_at_SSSA. Dataset for characterizing the walking behavior of subjects and identification of changes in the motion patterns, based on RGB-D cameras.
<p>This dataset is used for characterizing the wakling behavior of subjects. It is based on RGB-D camerasand obtained through data collection experiments at the premises of the Percro Labotory, TeCIP Intitute, Scuola Superiore Sant'Anna (Pisa, Italy). Data are collected for the gait patterns of 9 healthy participants.</p>
Memory Effects in a Random Walk Description of Protein Structure Ensembles
<p>This <a href="https://www.activepapers.org/">ActivePaper </a>file contains all the code and data that was used in generating the figures for the article "Memory Effects in a Random Walk Description of Protein Structure Ensembles" by Gerald R Kneller and Konrad Hinsen, J. Chem. Phys. <strong>150</strong>, 064911 (2019); <a href="https://doi.org/10.1063/1.5054887">https://doi.org/10.1063/1.5054887</a></p>
Negev Walking Focusing Interviews: Original Transcripts (Anonymous)
<p>The attached files are 30 interview transcripts for the article: "In Search for the Authentic Nature Experience: Walking-Focusing Interviews as a Tool for Evaluating Cultural Ecosystem Services", written for People and Nature. </p> <p>The material is available for download as individual files (one for each interview) or as a ZIP file (.rar) if you wish to download all.</p> <p>The interviews took place in the Negev Desert, Israel, on a trail named "Bor Hemet", which is part of an official protected area, in October-December 2018 by the authors. Their analysis intends to provide an indication to whether this form of interviews - Walking-Focusing interviews - can provide meaningful qualitative and holistic information pertaining to Cultural Ecosystem Services that other methodologies have difficulties providing. </p> <p> </p> <p>For more details on the study, see the following poster: </p> <p>https://www.researchgate.net/publication/325924203_Walking_Focusing_and_Evaluating_the_Cultural_Ecosystem_Services_of_Drylands</p> <p> </p> <p>And the People and Nature website (open access journal):</p> <p> </p> <p>https://www.britishecologicalsociety.org/publications/journals/people-and-nature/</p> <p> </p> <p> </p> <p> </p> <p> </p>
DataSet from H. Merienne et al., "Walking kinematics in the polymorphic seed harvester ant Messor barbarus: influence of ant size and load carriage"
<p>DataSet from H. Merienne et al., “Walking kinematics in the polymorphic seed harvester ant Messor barbarus: influence of ant size and load carriage”</p>
Continuous Digital Monitoring of Walking Speed in Frail Elderly Patients: Noninterventional Validation Study and Longitudinal Clinical Trial (Data for independent validation study)
<p>Digital technologies and advanced analytics have drastically improved our ability to capture and interpret health relevant data from patients. However, to date, limited data and results have been published detailing real-world patient compliance, demonstrating accuracy in target indications or examining what novel insights and clinical value can be derived. Here we present novel, digital mobility data from two studies: an independent, non-interventional validation study with elderly, naturally slow walking subjects, and a global, multi-site phase IIb clinical trial involving patients with age-related muscle loss and slow walking speed (sarcopenia). Based on these data, we validate the accuracy of a novel algorithm for capturing in-clinic and real-world gait speed in frail, slow-walking adults. We demonstrate the feasibility of continuous monitoring with a wearable inertial sensor in elderly adults in real-world settings, and propose minimum thresholds for compliance required for robust capture of gait behaviors in this population. We also show how simple, inferred contextual information, describing the length of a given walking bout, can explain some of the variation in real-world gait speed, and use this information to demonstrate for the first time a relationship between in-clinic performance and real-world gait speed behavior. This work lays a foundation for exploration of the clinical relevance and value of such measures and is a first step in building a more complete chain of evidence between standardized physical performance assessment, real-world behavior, and subjective perceptions of mobility, independence and health.</p> <p>This dataset contains data collected during the independent validation study: derived data from raw accelerometry data, and summary performance data.</p> <p>The full dataset, including raw accelerometry data, is available here: <a href="https://mueller-et-al-2019.s3.amazonaws.com/index.html">https://mueller-et-al-2019.s3.amazonaws.com/index.html</a></p>
Parking Long Walk
<p>Measurements were conducted in an environment where the user is moving in an open space where there is a clear and direct view between the device and the 5G network antenna. This scenario is essential for evaluating 5G network performance in mobility situations, such as walking down a street, a park, or any other environment where people are moving around while using their mobile devices. The presence of a clear line of sight between the device and the antenna ensures optimal signal conditions, allowing the network performance to be analyzed in the absence of significant obstructions.</p>
Videovorlesung "Metapher", RVL 08: "Leib und Glieder" zu "krankem Staat", ein "walk-through", Teil 2: "Snowpiercer", Boccaccio, Camus
<p>Videovorlesung "Metapher", Sommersemester 2021, RVL 08: "Leib und Glieder" zu "krankem Staat", ein "walk-through", Teil 2: "Snowpiercer", Boccaccio, Camus</p> <p> </p>
ScienceDex guides
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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.