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elaborately    音标拼音: [ɪl'æbrətli]
ad. 苦心经营地,精巧地

苦心经营地,精巧地

elaborately
adv 1: with elaboration; "it was elaborately spelled out" [synonym:
{elaborately}, {intricately}, {in an elaborate way}]


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英文字典中文字典相关资料:


  • Electromyography(EMG) Dataset - Kaggle
    Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals
  • putEMG: sEMG Gesture and Force Recognition Datasets
    putEMG and putEMG-Force datasets are databases of surface electromyographic activity recorded from forearm Datasets allows for development of algorithms for gesture recognition and grasp force recognition Experiment was conducted on 44 participants, with two repetitions separated by, minimum of one week
  • HUMAN MOVEMENT ANALYSIS - EMG Datasets - Google Sites
    These datasets are developed with a focus on subjects from the India population The sEMG signals are measured by a set of Noraxon Ultium wireless sEMG sensors with Ag Agcl electrodes It is a
  • Biomedical Engineering and Biocybernetics Team
    In this paper, we present a putEMG dataset intended for the evaluation of hand gesture recognition methods based on sEMG signal The dataset was acquired for 44 able-bodied subjects and include 8 gestures (3 full hand gestures, 4 pinches and idle)
  • BelleJohn EMG-Dataset-Collection - GitHub
    This repository serves as a curated list of publicly available Electromyography (EMG) datasets for research and development The datasets are sorted based on important attributes like subject count, electrode placement, and sampling rate to help users quickly find relevant data
  • electromyography · GitHub Topics · GitHub
    This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc ) for Electromyography (EMG) signals applications A list of public EMG datasets and their papers, with a focus on raw EMG signals A package for decomposing multi-channel EMG signals into individual motor unit activity
  • emg-data · GitHub Topics · GitHub
    Muscle data (EMG, muscle electrodes) are read and processed by simple machine learning algorithm to generate control commands Going Contactless with Electromyography sensor as part of Biomedical Instrumentation project "ArmKinect" is a Python project focused on reconstructing human arm movements using motion capture and EMG data
  • Open Access Dataset and Toolbox of High-Density Surface . . . - PhysioNet
    We provide an open access dataset of High Density Surface Electromyogram (HD-sEMG) Our dataset can be used for both hand gesture classification-based neuroprosthetic control and EMG-force regression based proportional neuroprosthetic control
  • biolab-put putemg-downloader: Download scripts for putEMG dataset - GitHub
    Download gesture EMG data for all participants in HDF5 format, along with 1080p RGB videos: >





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