Electroencephalogram based Control of Prosthetic Hand using Optimizable Support Vector Machine

Author:

Pooya Chanu Maibam1ORCID,Pei Dingyi2ORCID,Olikkal Parthan2ORCID,Vinjamuri Ramana Kumar2ORCID,Kakoty Nayan M1ORCID

Affiliation:

1. Embedded Systems and Robotics Lab, Tezpur University, IN

2. Vinjamuri Lab, University of Maryland Baltimore County, US

Funder

National Science Foundation (NSF), USA

Innovation Hub Foundation for Cobotics, IIT Delhi, Department of Science and Technology (DST), Government of India

Publisher

ACM

Reference37 articles.

1. Power Changes of EEG Signals Associated with Muscle Fatigue: The Root Mean Square Analysis of EEG Bands

2. Kevin Acuna Condori , Erick Carranza Urquizo , and David Achanccaray Diaz . 2016. Embedded Brain Machine Interface based on motor imagery paradigm to control prosthetic hand. In 2016 IEEE ANDESCON . IEEE , 1–4. Kevin Acuna Condori, Erick Carranza Urquizo, and David Achanccaray Diaz. 2016. Embedded Brain Machine Interface based on motor imagery paradigm to control prosthetic hand. In 2016 IEEE ANDESCON. IEEE, 1–4.

3. Regularity and Matching Pursuit feature extraction for the detection of epileptic seizures

4. Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI

5. Time–Frequency Modulation of ERD and EEG Coherence in Robot-Assisted Hand Performance

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