Identification of Food Packaging Activity Using MoCap Sensor Data

Conference paper


Anwar, A., Islam Tapotee, M., Saha, P. and Ahad, M. 2022. Identification of Food Packaging Activity Using MoCap Sensor Data. 3rd International Conference on Activity and Behavior Computing (ABC 2021). Online 22 - 23 Oct 2021 Springer Singapore. https://doi.org/10.1007/978-981-19-0361-8_11
AuthorsAnwar, A., Islam Tapotee, M., Saha, P. and Ahad, M.
TypeConference paper
Abstract

The automation system has brought a revolutionary change in our lives. Food packaging activity recognition can add a new dimension to industrial automation systems. However, it is challenging to identify the packaging activities using only skeleton data of the upper body due to the similarities between the activities and subject-dependent results. Bento Packaging Activity Recognition Challenge 2021 provides us with a dataset of ten different activities performed during Bento box packaging in a laboratory using MoCap (motion capture) sensors. Bento box is a single-serving packed meal that is very popular in Japanese cuisine. In this paper, we develop methods using the classical machine learning approach, as the given dataset is small compared to other skeleton datasets. After preprocessing, we extract different hand-crafted features and train different models like extremely randomized trees, random forest, and XGBoost classifiers and select the best model based on cross-validation score. Then, we explore different combinations of features and use the best combination of features for prediction. By applying our methodology, we achieve 64% accuracy and 53.66% average accuracy in tenfold cross-validation and leave-one-subject-out cross-validation, respectively.

Year2022
Conference3rd International Conference on Activity and Behavior Computing (ABC 2021)
PublisherSpringer Singapore
Publication dates
Print04 May 2022
Publication process dates
Deposited25 Jul 2023
Journal citationpp. 181-191
ISSN2190-3018
Book titleSensor- and Video-Based Activity and Behavior Computing: Proceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021)
Book editorAhad, M.
Inoue, S.
Roggen, D.
Fujinami, K.
ISBN9789811903601
9789811903618
Digital Object Identifier (DOI)https://doi.org/10.1007/978-981-19-0361-8_11
Web address (URL) of conference proceedingshttps://link.springer.com/book/10.1007/978-981-19-0361-8
Web address (URL)https://link.springer.com/chapter/10.1007/978-981-19-0361-8_11
Copyright holder© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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