Vision-based methods for food and fluid intake monitoring: a literature review

X Chen, EN Kamavuako - Sensors, 2023 - mdpi.com
Food and fluid intake monitoring are essential for reducing the risk of dehydration,
malnutrition, and obesity. The existing research has been preponderantly focused on dietary …

Technology to Automatically Record Eating Behavior in Real Life: A Systematic Review

H Hiraguchi, P Perone, A Toet, G Camps, AM Brouwer - Sensors, 2023 - mdpi.com
To monitor adherence to diets and to design and evaluate nutritional interventions, it is
essential to obtain objective knowledge about eating behavior. In most research, measures …

[HTML][HTML] EatSense: human centric, action recognition and localization dataset for understanding eating behaviors and quality of motion assessment

MA Raza, L Chen, L Nanbo, RB Fisher - Image and Vision Computing, 2023 - Elsevier
Current datasets for computer vision-based action recognition and localization cover a wide
range of classes and challenging scenarios. However, these datasets don't cater to …

Data-driven meal events detection using blood glucose response patterns

D F. de Carvalho, U Kaymak, P Van Gorp… - BMC medical informatics …, 2023 - Springer
Abstract Background In the Diabetes domain, events such as meals and exercises play an
important role in the disease management. For that, many studies focus on automatic meal …

The use of machine learning in paediatric nutrition

A Young, MJ Johnson, RM Beattie - Current Opinion in Clinical …, 2024 - journals.lww.com
Machine learning techniques are reaching maturity and their impact on observational data
analysis and behaviour change will come to fruition in the next 5 years. A set of standards …

Methods for volume inference of non-medical objects from images: A short review

B Nabitchita, NJ Gonçalves, PJ Coelho… - Journal of Ambient …, 2024 - content.iospress.com
Nowadays, the object's volume is essential for monitoring any scene. Technological
equipment is evolving, and mobile devices and other devices embed high-resolution …

Intake Gesture Detection With IMU Sensor in Free-Living Environments: The Effects of Measuring Two-Hand Intake and Down-Sampling

C Wang, J Kong, Y Cai, TS Kumar… - 2023 IEEE 19th …, 2023 - ieeexplore.ieee.org
Food intake monitoring plays an important role in personal dietary systems. Numerous
approaches have been proposed to automatically detect eating gestures using various …

[PDF][PDF] Beslenmede İnovasyon: Yapay Zekâ Destekli Kişiselleştirilmiş Beslenme: Tanı ve Tedavideki Gelişmeler.

M ÖZKAYA, MV YILMAZ, E ASİL - Turkiye Klinikleri Journal of …, 2023 - researchgate.net
Sağlığın korunmasında ve sürdürülmesinde beslenmenin önemi her geçen gün daha iyi
anlaşılmaktadır. Bireylere, kişiye özel yani kişiselleştirilmiş beslenme önerilerinin yapılması …

Feasibility analysis of an electrogastrography sensor for digestion detection

PA Neves, NJ Gonçalves, P Varanda… - 2023 6th Conference …, 2023 - ieeexplore.ieee.org
This paper presents a preliminary study on the use of an electrogastrography sensor for
digestion detection and monitoring. The chosen architecture is based on the BITalino …

Differentiating Fluid-intake-related Swallowing Events from Saliva and Solid Food Intake Using Swallowing Sounds and Conventional Machine Learning

IA Ismail, EN Kamavuako - 2024 IEEE 22nd Mediterranean …, 2024 - ieeexplore.ieee.org
Dehydration poses a prevalent issue among older adults, significantly impacting their health
and well-being and, in some cases, leading to fatal outcomes due to diminished thirst …