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88 results for “gestures”
Cognitive Skills and Iconic Gestures
ClinicalTrials.gov study NCT03387748. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Transcranial Direct Current Stimulation (tDCS) to Improve Gesture Control
ClinicalTrials.gov study NCT03463902. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessment of Gesture Accuracy of a Prosthesis Control System
ClinicalTrials.gov study NCT06446037. IPD Sharing: NO. Countries: 1. Publications: 0.
Transcranial Magnetic Stimulation to Improve Gesture Control
ClinicalTrials.gov study NCT03483909. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of Motor Learning on a Sequence of Manual Motor Gestures of Increasing Complexity Through the Mental Practise
ClinicalTrials.gov study NCT03769974. IPD Sharing: NO. Countries: 1. Publications: 0.
Robot Control Gestures (RoCoG)
Open the record for dataset details and reuse information.
Emoji Gestures in English Tweets: California
<p>The dataset consists of 479 193 tweets each of them contains one of the 31 gesture emoji (different hand configurations) and its skin tone modifier options (e.g. 🙏🙏🏿🙏🏾🙏🏽🙏🏼🙏🏻), posted within 250km from San Jose, CA and within 200km from Los Angeles, CA, in English, during May-August 2021. The dataset can be used to investigate the use of gesture emoji by English-speaking California Twitter users. Python libraries used for collecting tweets and preprocessing: tweepy, re, preprocessor, emoji, regex, string, nltk.</p> <p>The dataset contains 11 columns:</p> <ol> <li> <p>preprocessed</p> <p>preprocessed text of the tweet (4 steps)</p> </li> <li> <p>all_emoji</p> <p>lists all emoji in a given tweet</p> </li> <li> <p>hashtags</p> <p>lists all hashtags in a given tweet</p> </li> <li> <p>user_encoded</p> <p>encoded Twitter user name: the first 3 characters of the user name and the first 3 characters of the user's location</p> </li> <li> <p>location_encoded</p> <p>location of the user: "los_angeles", "san_diego", "san_jose", "san_francisco", "fresno", "long_beach", "sacramento", "oakland", "bakersfield", "anaheim", or "other"</p> </li> <li> <p>mention_present</p> <p>checks whether each tweet contains mentions</p> </li> <li> <p>url_present</p> <p>checks whether each tweet contains url </p> </li> <li> <p>preprocess_tweet</p> <p>preprocessing step 1: tokenizing mentions, urls, and hashtags</p> </li> <li> <p>lowercase_tweet</p> <p>preprocessing step 2: lowercasing</p> </li> <li> <p>remove_punct_tweet</p> <p>preprocessing step 3: removing punctuation</p> </li> <li> <p>tokenize_tweet</p> <p>preprocessing step 4: tokenizing</p> </li> </ol> <p>The further information on the research project can be found here: https://github.com/mzhukovaucsb/emoji_gestures/</p>
Emoji Gestures in Russian Tweets: Moscow
<p>The dataset consists of 48 838 tweets each of them contains one of the 31 gesture emoji (different hand configurations) and its skin tone modifier options (e.g. 🙏🙏🏿🙏🏾🙏🏽🙏🏼🙏🏻), and posted within 50km from Moscow, Russia, in Russian, during May-August 2021. The dataset can be used to investigate the use of gesture emoji by Russian users of the Twitter platform. Python libraries used for collecting tweets and preprocessing: tweepy, re, preprocessor, emoji, regex, string, nltk. </p> <p>The dataset contains 11 columns:</p> <ol> <li> <p>preprocessed</p> <p>preprocessed text of the tweet (4 steps)</p> </li> <li> <p>all_emoji</p> <p>lists all emoji in a given tweet</p> </li> <li> <p>hashtags</p> <p>lists all hashtags in a given tweet</p> </li> <li> <p>user_encoded</p> <p>encoded Twitter user name: the first 3 characters of the user name and the first 3 characters of the user's location</p> </li> <li> <p>location_encoded</p> <p>location of the user: "moscow", "moscow_region", or "other"</p> </li> <li> <p>mention_present</p> <p>checks whether each tweet contains mentions</p> </li> <li> <p>url_present</p> <p>checks whether each tweet contains url</p> </li> <li> <p>preprocess_tweet</p> <p>preprocessing step 1: tokenizing mentions, urls, and hashtags</p> </li> <li> <p>lowercase_tweet</p> <p>preprocessing step 2: lowercasing</p> </li> <li> <p>remove_punct_tweet</p> <p>preprocessing step 3: removing punctuation</p> </li> <li> <p>tokenize_tweet</p> <p>preprocessing step 4: tokenizing</p> </li> </ol> <p>The further information on the research project can be found here: https://github.com/mzhukovaucsb/emoji_gestures/</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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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.