[HTML][HTML] 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 …

[HTML][HTML] Fight fire with fire: Detecting forest fires with embedded machine learning models dealing with audio and images on low power IoT devices

G Peruzzi, A Pozzebon, M Van Der Meer - Sensors, 2023 - mdpi.com
Forest fires are the main cause of desertification, and they have a disastrous impact on
agricultural and forest ecosystems. Modern fire detection and warning systems rely on …

Social Environmental Predictors of Lapse in Dietary Behavior: An Ecological Momentary Assessment Study Amongst Dutch Adults Trying to Lose Weight

EM Roordink, IHM Steenhuis, W Kroeze… - Annals of Behavioral …, 2023 - academic.oup.com
Background When losing weight, most individuals find it difficult to maintain a healthy diet.
Social environmental conditions are of pivotal importance in determining dietary behavior …

[HTML][HTML] Capturing children food exposure using wearable cameras and deep learning

S Elbassuoni, H Ghattas, J El Ati, Y Zoughby… - PLOS Digital …, 2023 - journals.plos.org
Children's dietary habits are influenced by complex factors within their home, school and
neighborhood environments. Identifying such influencers and assessing their effects is …

Acquisition and Analysis of Camera Sensor Data (Lifelogging)

E Thomaz, M Dimiccoli - Mobile Sensing in Psychology: Methods …, 2023 - books.google.com
In this chapter, we discuss wearable imaging in the context of human lifestyle and behavior
sensing. We consider imaging as both context information to derive labels for other sensor …

Vision-Based Yakiniku Recognition System for Autonomous Cooking Robot

S Nilwong, P Butdee… - … on Robotic and …, 2023 - ieeexplore.ieee.org
This paper presents a vision-based meat recognition system intended for cooking robots in
the Japanese barbeque or 'yakiniku'practice. The objective of the recognition system is to …

A novel approach for diet recommending system using faster RCNN and tensorflow lite

M Jha, D Sampat, R Sanghvi, P Kanani - AIP Conference Proceedings, 2023 - pubs.aip.org
Obesity is a global health issue which is growing rapidly. This results in an unhealthy diet
containing high amounts of sugar, salt and fats in addition to an inactive lifestyle. The …

Separación de hablantes individuales en entornos" cocktail-party" mediante redes de aprendizaje profundo

A Cantalapiedra Arellano - 2023 - academica-e.unavarra.es
El efecto cóctel presenta un desafío significativo para las personas con discapacidad
auditiva al participar en conversaciones en entornos ruidosos. Este fenómeno, que se …

Multi-Spectral Fusion for Semantic Segmentation Networks

J Edwards - 2023 - search.proquest.com
Semantic segmentation is a machine learning task that is seeing increased utilization in
multiples fields, from medical imagery, to land demarcation, and autonomous vehicles …