NeuroAiR: Deep Learning Framework for Airwriting Recognition From Scalp-Recorded Neural Signals-Reference-Cited by-同舟云学术

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NeuroAiR: Deep Learning Framework for Airwriting Recognition From Scalp-Recorded Neural Signals

Published:2024 Issue: Volume:73 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Tripathi Ayush¹^ORCID,Gupta Aryan¹^ORCID,P. Prathosh A.²^ORCID,Muthukrishnan Suriya Prakash³^ORCID,Kumar Lalan⁴^ORCID

Affiliation:

1. Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India

2. Department of Electrical Communication Engineering, Indian Institute of Science, Bengaluru, India

3. Department of Physiology, All India Institute of Medical Sciences, New Delhi, India

4. Department of Electrical Engineering, Bharti School of Telecommunication, and the Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi, India

Funder

Prime Minister’s Research Fellowship (PMRF), Ministry of Education (MoE), Government of India, under Grant PLN08/PMRF

Infosys Foundation through the Young Investigator Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10478979.pdf?arnumber=10478979

Reference47 articles.

1. Whistle-blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems

2. A systematic review on hand gesture recognition techniques, challenges and applications

3. A review of hand gesture and sign language recognition techniques

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