The Influence of Labeling Techniques in Classifying Human Manipulation Movement of Different Speed

Sadique Siddiqui, Lisa Gutzeit, Frank Kirchner, Frank Kirchner

2022

Abstract

Human action recognition aims to understand and identify different human behaviors and designate appropriate labels for each movement’s action. In this work, we investigate the influence of labeling methods on the classification of human movements on data recorded using a marker-based motion capture system. The dataset is labeled using two different approaches, one based on video data of the movements, the other based on the movement trajectories recorded using the motion capture system. The data was recorded from one participant performing a stacking scenario comprising simple arm movements at three different speeds (slow, normal, fast). Machine learning algorithms that include k-Nearest Neighbor, Random Forest, Extreme Gradient Boosting classifier, Convolutional Neural networks (CNN), Long Short-Term Memory networks (LSTM), and a combination of CNN-LSTM networks are compared on their performance in recognition of these arm movements. The models were trained on actions performed on slow and normal speed movements segments and generalized on actions consisting of fast-paced human movement. It was observed that all the models trained on normal-paced data labeled using trajectories have almost 20% improvement in accuracy on test data in comparison to the models trained on data labeled using videos of the performed experiments.

Paper Citation

in Harvard Style

Siddiqui S., Gutzeit L. and Kirchner F. (2022). The Influence of Labeling Techniques in Classifying Human Manipulation Movement of Different Speed. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-549-4, pages 338-345. DOI: 10.5220/0010906900003122

in Bibtex Style

@conference{icpram22,
author={Sadique Siddiqui and Lisa Gutzeit and Frank Kirchner},
title={The Influence of Labeling Techniques in Classifying Human Manipulation Movement of Different Speed},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2022},
pages={338-345},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010906900003122},
isbn={978-989-758-549-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - The Influence of Labeling Techniques in Classifying Human Manipulation Movement of Different Speed
SN - 978-989-758-549-4
AU - Siddiqui S.
AU - Gutzeit L.
AU - Kirchner F.
PY - 2022
SP - 338
EP - 345
DO - 10.5220/0010906900003122