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Have Your Cake and Log it Too: A Pilot Study Leveraging IMU Sensors for Real-time Food Journaling Notifications

Topics: Assistive Technologies, Home Monitoring; Ehealth; eHealth Applications; Healthcare Management Systems; Medical Informatics; Mobile Technologies for Healthcare Applications; Pattern Recognition and Machine Learning; Pervasive Health Systems and Services; Wearable Health Informatics

Authors: Arpita Kappattanavar ; Marten Kremser and Bert Arnrich

Affiliation: Digital Health - Connected Healthcare, Hasso-Plattner-Institut, University of Potsdam, Germany

Keyword(s): Eating Activity, Classification, Notification, Real-time.

Abstract: To monitor diet, nutritionists employ food journaling approaches, which rely on the subject’s memory. Accordingly, a real-time reminder during eating can help subjects adhere to a journaling routine more strictly. Although previous works used sensors to detect eating activities, no study accounted for the time impact of delivering notifications. Our study presents an approach to notify subjects for food journaling within three to six minutes from eating. We achieved this by collecting wrist motion data using an inertial measurement unit. Twenty-two features were extracted from the collected data. Those were used as input to a random forest model to classify an eating activity. To train and test the model, we collected data from four subjects in a semi-controlled environment and daily life. The f1-score for testing data was between 0.74 to 0.78 for four subjects, but they still received notifications for all meals. Additionally, we tested this approach with data collected for one and a half days from a new subject. We observed notifications for four out of five meals. The robust detection criterion reduced the false notifications. Our pilot study results suggest that considering the delivery time of notification can lead to better food journaling (More)

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Paper citation in several formats:
Kappattanavar, A. ; Kremser, M. and Arnrich, B. (2022). Have Your Cake and Log it Too: A Pilot Study Leveraging IMU Sensors for Real-time Food Journaling Notifications. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - HEALTHINF; ISBN 978-989-758-552-4; ISSN 2184-4305, SciTePress, pages 532-541. DOI: 10.5220/0010845500003123

@conference{healthinf22,
author={Arpita Kappattanavar and Marten Kremser and Bert Arnrich},
title={Have Your Cake and Log it Too: A Pilot Study Leveraging IMU Sensors for Real-time Food Journaling Notifications},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - HEALTHINF},
year={2022},
pages={532-541},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010845500003123},
isbn={978-989-758-552-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - HEALTHINF
TI - Have Your Cake and Log it Too: A Pilot Study Leveraging IMU Sensors for Real-time Food Journaling Notifications
SN - 978-989-758-552-4
IS - 2184-4305
AU - Kappattanavar, A.
AU - Kremser, M.
AU - Arnrich, B.
PY - 2022
SP - 532
EP - 541
DO - 10.5220/0010845500003123
PB - SciTePress

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