Comparison of gesture classification methods with contact and non-contact sensors for human-computer interaction

Kenan Erin; Mustafa Çağrı Kutlu; Barış Boru

Comparison of gesture classification methods with contact and non-contact sensors for human-computer interaction

Abstract

Classification of signals that are received from the human body and control systems is one of the most important subjects of the machine learning application. In this study, classification algorithms were used to classify electromyography and depth sensor data. First, electromyography and joint angle data were obtained from software developed in Python environment. Five different types of movements have been identified for classification and thousand different samples have been collected as training for each of these movements. Support Vector Machine, Random Forest, and K-Nearest Neighbour algorithms were used for classification. To measure success algorithms, results have been compared for achieving criteria. The results show which of three different algorithms was the most successful on two different sensors. While Random Forest provides the best results for non-contact sensor, K- Nearest Neighbour produces the best results for contact sensors. This paper evaluated the classification success of two different sensors. The r􀀁esults will be utilized in online classification to control a graphical user interface.

Keywords

References

The article references can be accessed from the .pdf file.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Kenan Erin ^* This is me
0000-0003-4714-1161
Türkiye

Mustafa Çağrı Kutlu This is me
0000-0003-1663-2523
Türkiye

Barış Boru This is me
0000-0002-0993-3187
Türkiye

Publication Date

June 6, 2022

Submission Date

April 28, 2020

Acceptance Date

June 28, 2021

Published in Issue

Year 2022 Volume: 40 Number: 2

IZ

https://izlik.org/JA42NB24JU

Cite

RIS / Bibtex

APA

Erin, K., Kutlu, M. Ç., & Boru, B. (2022). Comparison of gesture classification methods with contact and non-contact sensors for human-computer interaction. Sigma Journal of Engineering and Natural Sciences, 40(2), 219-226. https://izlik.org/JA42NB24JU

AMA

1.Erin K, Kutlu MÇ, Boru B. Comparison of gesture classification methods with contact and non-contact sensors for human-computer interaction. SIGMA. 2022;40(2):219-226. https://izlik.org/JA42NB24JU

Chicago

Erin, Kenan, Mustafa Çağrı Kutlu, and Barış Boru. 2022. “Comparison of Gesture Classification Methods With Contact and Non-Contact Sensors for Human-Computer Interaction”. Sigma Journal of Engineering and Natural Sciences 40 (2): 219-26. https://izlik.org/JA42NB24JU.

EndNote

Erin K, Kutlu MÇ, Boru B (June 1, 2022) Comparison of gesture classification methods with contact and non-contact sensors for human-computer interaction. Sigma Journal of Engineering and Natural Sciences 40 2 219–226.

IEEE

[1]K. Erin, M. Ç. Kutlu, and B. Boru, “Comparison of gesture classification methods with contact and non-contact sensors for human-computer interaction”, SIGMA, vol. 40, no. 2, pp. 219–226, June 2022, [Online]. Available: https://izlik.org/JA42NB24JU

ISNAD

Erin, Kenan - Kutlu, Mustafa Çağrı - Boru, Barış. “Comparison of Gesture Classification Methods With Contact and Non-Contact Sensors for Human-Computer Interaction”. Sigma Journal of Engineering and Natural Sciences 40/2 (June 1, 2022): 219-226. https://izlik.org/JA42NB24JU.

JAMA

1.Erin K, Kutlu MÇ, Boru B. Comparison of gesture classification methods with contact and non-contact sensors for human-computer interaction. SIGMA. 2022;40:219–226.

MLA

Erin, Kenan, et al. “Comparison of Gesture Classification Methods With Contact and Non-Contact Sensors for Human-Computer Interaction”. Sigma Journal of Engineering and Natural Sciences, vol. 40, no. 2, June 2022, pp. 219-26, https://izlik.org/JA42NB24JU.

Vancouver

1.Kenan Erin, Mustafa Çağrı Kutlu, Barış Boru. Comparison of gesture classification methods with contact and non-contact sensors for human-computer interaction. SIGMA [Internet]. 2022 Jun. 1;40(2):219-26. Available from: https://izlik.org/JA42NB24JU