@inproceedings{bb1ff40d59de49abaf5d23a6b0a2d469,
title = "Towards Individual Finger Movement Detection Using EMG Sensors Placed on Forearm",
abstract = "This paper presents as a proof of concept the methodology for the detection of movement of individual fingers (thumb, index, and middle finger) using EMG sensors placed on two muscles on the forearm of one person. Two MyoWare Muscle sensors are used together with an Arduino UNO microcontroller board that works as a data acquisition system to collect electromyography signals from muscles. These signals are then transformed using short-time Fourier transform with the aim of having the signals in the time-frequency domain. After filtering, the highest peaks in both signals are identified in realtime to detect the movement of an individual finger. Finally, the signals for the thumb, index, and middle fingers were identified as an initial step towards the development of a prosthesis in which each finger will have its own movement in future work.",
keywords = "EMG sensor, Fourier transform, Matlab, finger movement, prosthesis",
author = "Jose Paredes and Malena Loza and Diego Benitez",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon 2023 ; Conference date: 05-12-2023 Through 07-12-2023",
year = "2023",
doi = "10.1109/CHILECON60335.2023.10418690",
language = "Ingl{\'e}s",
series = "Proceedings - IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ChileCon 2023 - 2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies",
}