<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The current paper proposed and investigated the head motion recognition idea based on four capacitive sensors and deep learning models. The proposed system was designed to empower a tetraplegic person to control a remote device or an intelligent wheelchair. The capacitive sensors were placed around the neck using a necktie, which each volunteer who participated in this experiment was easy to use. The results show that the best-proposed deep learning model can determine each activity with a classification rate equal to 89.29% using capacitive raw data. During the experiments the deep learning models provided accuracy values in the range of 56.25% to 89.29%.</p>
</abstract>

The current paper proposed and investigated the head motion recognition idea based on four capacitive sensors and deep learning models. The proposed system was designed to empower a tetraplegic person to control a remote device or an intelligent wheelchair. The capacitive sensors were placed around the neck using a necktie, which each volunteer who participated in this experiment was easy to use. The results show that the best-proposed deep learning model can determine each activity with a classification rate equal to 89.29% using capacitive raw data. During the experiments the deep learning models provided accuracy values in the range of 56.25% to 89.29%.

Head Gesture Recognition Based on Capacitive Sensors Using Deep Learning Algorithms

“Gheorghe Asachi” Technical University of Iaşi

Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The current paper proposed and investigated the head motion recognition idea based on four capacitive sensors and deep learning models. The proposed system was...

Head Gesture Recognition Based on Capacitive Sensors Using Deep Learning Algorithms

Online veröffentlicht: 18. Juni 2022

Seitenbereich: 73 - 92

Eingereicht: 13. Okt. 2021

Akzeptiert: 28. Dez. 2021

DOI: https://doi.org/10.2478/bipie-2021-0018

Schlüsselwörter
HCI system, head motion, capacitive sensors, deep learning

© 2021 Ionuţ-Cristian Severin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Head Gesture Recognition Based on Capacitive Sensors Using Deep Learning Algorithms

Online veröffentlicht: 18. Juni 2022

Seitenbereich: 73 - 92

Eingereicht: 13. Okt. 2021

Akzeptiert: 28. Dez. 2021

DOI: https://doi.org/10.2478/bipie-2021-0018

SchlüsselwörterHCI system, head motion, capacitive sensors, deep learning

© 2021 Ionuţ-Cristian Severin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
HCI system, head motion, capacitive sensors, deep learning