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80 results for “IMU”
EEG IMU
<p>IMU and EEG data During Blended Control of Scale Vehicles</p>
LiDAR-IMU Mapping Test with Various Range Sensors
<p>This is a set of LiDAR-IMU mapping test sequences recorded with various range sensors.</p> <p>- Ouster OS0-32 & OS0-64</p> <p>- Livox Avia</p> <p>- Intel Realsense L515 & D455</p> <p>- Microsoft Azure Kinect</p> <p>- Stereolabs ZED2i</p> <p>The groundtruth IMU trajectories (gt.tar.gz) are estimated by a batch LiDAR-IMU optimization that aligns point cloud scans with an environmental map (map_e232b.las) recorded with a survey-grade LiDAR (FARO Focus).</p> <p> </p>
watchHAR: A Smartwatch IMU dataset for Activities of Daily Living
<pre># watchHAR: A Smartwatch IMU dataset for Activities of Daily Living This is a dataset of IMU recordings (3-axial acceleration, 3-axial gyroscope, and 3-axial magnetometer) recorded with Sony Smartwatch 3, along with ground truth location data from a vicon motion capture system. Smartwatch IMU and vicon location data exist for the users' left and right hands, as well as vicon location data from their left and right ankles. The recoded data cover the following `activity_id`s: * `brushing_teeth` * `idle` * `preparing_sandwich` * `reading_book` * `typing` * `using_phone` * `using_remote_control` * `walking_freely` * `walking_holding_a_tray` * `walking_with_handbag` * `walking_with_hands_in_pockets` * `walking_with_object_underarm` * `washing_face_and_hands` * `washing_mug` * `washing_plate` * `writing`, all of which were recorded in the same room, across the span of several days. In addition to these activities, walking stairs up and down (`activity_id`s `stairs_up` and `stairs_down`) events were recorded in various different locations. Note that for these stairs events only Smartwatch IMU recordings exist, and only from the dominant hand of the participants, which coincided with the right hand in all cases. The data are organised in the following folder structure: `user_id/activity_id/recording_type.csv`. Stair events are a special case in that multiple up/down stair recordings can exist for a single user. These are separated like the following example ``` `user_01/stairs_down-02/smartwatch_right_hand.csv` ``` that points to the IMU data of the second `stairs_down` recording of the first user. Finally, note that all timestamps refer to a UTC timezone, and that data collection took place in the United Kingdom. </pre>
LiDAR-IMU Mapping Test Dataset (OS1-128)
<p>This is a sequence of point cloud and IMU data recorded with Ouster OS1-128 for testing LiDAR-IMU mapping systems.</p>
IMU data collected for motion recognition
<p>IMU data in walking, speed varied from 0-8 km/h </p> <p>IMU and FSR data in gait cycle( five gait events per cycle)</p> <p>IMU data in 9 different activities </p>
IMU-838 and Oseltamivir in the Treatment of COVID-19
ClinicalTrials.gov study NCT04516915. IPD Sharing: NO. Countries: 1. Publications: 1.
Study to Evaluate the Efficacy, Safety, and Tolerability of IMU-838 in Patients With Relapsing Multiple Sclerosis
ClinicalTrials.gov study NCT05134441. IPD Sharing: NO. Countries: 16. Publications: 0.
Audio-IMU multimodal cough dataset using wearables
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Data from: Preferred gait and walk–run transition speeds in ostriches measured using GPS-IMU sensors
The ostrich (Struthio camelus) is widely appreciated as a fast and agile bipedal athlete, and is a useful comparative bipedal model for human locomotion. Here, we used GPS-IMU sensors to measure naturally selected gait dynamics of ostriches roaming freely over a wide range of speeds in an open field and developed a quantitative method for distinguishing walking and running using accelerometry. We compared freely selected gait–speed distributions with previous laboratory measures of gait dynamics and energetics. We also measured the walk–run and run–walk transition speeds and compared them with those reported for humans. We found that ostriches prefer to walk remarkably slowly, with a narrow walking speed distribution consistent with minimizing cost of transport (CoT) according to a rigid-legged walking model. The dimensionless speeds of the walk–run and run–walk transitions are slower than those observed in humans. Unlike humans, ostriches transition to a run well below the mechanical limit necessitating an aerial phase, as predicted by a compass-gait walking model. When running, ostriches use a broad speed distribution, consistent with previous observations that ostriches are relatively economical runners and have a flat curve for CoT against speed. In contrast, horses exhibit U-shaped curves for CoT against speed, with a narrow speed range within each gait for minimizing CoT. Overall, the gait dynamics of ostriches moving freely over natural terrain are consistent with previous lab-based measures of locomotion. Nonetheless, ostriches, like humans, exhibit a gait-transition hysteresis that is not explained by steady-state locomotor dynamics and energetics. Further study is required to understand the dynamics of gait transitions.
Kinematic IMU-based Assessment of Postural Transitions
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YUTO MMS Dataset, Sequence B (Lidar data, Calibration files, Groundtruth, GPS, IMU, Timestamp)
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A Study of IMU-131 (HER-Vaxx) in Combination With Chemotherapy or Pembrolizumab in Patients With Metastatic HER2/Neu Over-Expressing Gastric Cancer (nextHERIZON)
ClinicalTrials.gov study NCT05311176. IPD Sharing: NO. Countries: 2. Publications: 0.
Data from: Preferred gait and walk–run transition speeds in ostriches measured using GPS-IMU sensors
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IceBridge UAF GPS/IMU L1B Corrected Position and Attitude Data, Version 1
This data set contains Global Positioning System (GPS) and Inertial Measurement Unit (IMU) positioning and orientation measurements for the University of Alaska Fairbanks Glacier lidar system campaigns. The data were collected as part of Operation IceBridge funded aircraft survey campaigns.
Whole genome methylation profiliing between the IMU and KRT subtypes of HPV-associated head and neck cell carcinoma (HNSCC)
GEO Series GSE180260. Homo sapiens. 36 samples. Type: Methylation profiling by high throughput sequencing.
Sint Maartenskliniek - IMU Gait Analysis (Validation study, release tag v1.1.0)
<p>https://github.com/SintMaartenskliniek/IMU_GaitAnalysis/releases/tag/v1.1.0</p>
Developing a Balance Rehabilitation System for Older Adults, Based on IMU and AI: Personalized Training and Preventive Strategies
ClinicalTrials.gov study NCT06596993. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Effect of Digital Rehabilitation System With Wearable Multi-IMU (Inertial Measurement Unit) Sensors on Upper Limb Functions in Children With Brain Injury
ClinicalTrials.gov study NCT02949817. IPD Sharing: NO. Countries: 1. Publications: 0.
IMU-935 in Patients With Progressive, Metastatic Castration Resistant Prostate Cancer
ClinicalTrials.gov study NCT05124795. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Study of IMU-201 (PD1-Vaxx), a B-Cell Immunotherapy, in Adults with Non-Small Cell Lung Cancer
ClinicalTrials.gov study NCT04432207. IPD Sharing: Not stated. Countries: 2. Publications: 0.
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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.