EMAHA-DB1: A New Upper Limb sEMG Dataset for Classification of Activities of Daily Living-Reference-Cited by-同舟云学术

EMAHA-DB1: A New Upper Limb sEMG Dataset for Classification of Activities of Daily Living

Published:2023 Issue: Volume:72 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Karnam Naveen Kumar¹^ORCID,Turlapaty Anish Chand¹^ORCID,Dubey Shiv Ram²^ORCID,Gokaraju Balakrishna³^ORCID

Affiliation:

1. Biosignal Analysis Laboratory, Indian Institute of Information Technology, Sri City, Sri City, Andhra Pradesh, India

2. Computer Vision and Biometrics Laboratory, Indian Institute of Information Technology, Allahabad, Prayagraj, Uttar Pradesh, India

3. Visualizations and Computing Advanced Research Center (ViCAR) and the Department of Computational Data Science and Engineering, North Carolina A&T State University, Greensboro, NC, USA

Funder

Science and Engineering Research Board (SERB), Government of India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10135136.pdf?arnumber=10135136

Reference70 articles.

1. Biomechanical Evaluation of an Exoskeleton for Rehabilitation of Individuals with Parkinson's Disease

2. Application of Min-Max Normalization on Subject-Invariant EMG Pattern Recognition

3. Brain computer interface based applications for training and rehabilitation of students with neurodevelopmental disorders. A literature review

4. A Novel Signal Normalization Approach to Improve the Force Invariant Myoelectric Pattern Recognition of Transradial Amputees

5. Assessment of hand function during activities of daily living using motion tracking cameras: A systematic review

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