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Vision-based methods for food and fluid intake monitoring: a literature review
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 …
malnutrition, and obesity. The existing research has been preponderantly focused on dietary …
Fight fire with fire: Detecting forest fires with embedded machine learning models dealing with audio and images on low power iot devices
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 …
agricultural and forest ecosystems. Modern fire detection and warning systems rely on …
[HTML][HTML] Thought on food: A systematic review of current approaches and challenges for food intake detection
Nowadays, individuals have very stressful lifestyles, affecting their nutritional habits. In the
early stages of life, teenagers begin to exhibit bad habits and inadequate nutrition. Likewise …
early stages of life, teenagers begin to exhibit bad habits and inadequate nutrition. Likewise …
Optimized deep learning algorithms for tomato leaf disease detection with hardware deployment
Smart agriculture has taken more attention during the last decade due to the bio-hazards of
climate change impacts, extreme weather events, population explosion, food security …
climate change impacts, extreme weather events, population explosion, food security …
Machine learning modeling practices to support the principles of AI and ethics in nutrition research
Background Nutrition research is relying more on artificial intelligence and machine learning
models to understand, diagnose, predict, and explain data. While artificial intelligence and …
models to understand, diagnose, predict, and explain data. While artificial intelligence and …
Egocentric Human Activities Recognition With Multimodal Interaction Sensing
Egocentric human activity recognition (ego-HAR) has received attention in fields where
human intentions in a video must be estimated. However, the performance of existing …
human intentions in a video must be estimated. However, the performance of existing …
Deep learning based image classification for embedded devices: A systematic review
Deep learning models are widely employed to solve complex problems in different areas,
particularly for image classification, because of their high performance in pattern recognition …
particularly for image classification, because of their high performance in pattern recognition …
Social environmental predictors of lapse in dietary behavior: An ecological momentary assessment study amongst Dutch adults trying to lose weight
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 …
Social environmental conditions are of pivotal importance in determining dietary behavior …
Capturing children food exposure using wearable cameras and deep learning
Children's dietary habits are influenced by complex factors within their home, school and
neighborhood environments. Identifying such influencers and assessing their effects is …
neighborhood environments. Identifying such influencers and assessing their effects is …
Food detection and segmentation from egocentric camera images
Tracking an individual's food intake provides useful insight into their eating habits.
Technological advancements in wearable sensors such as the automatic capture of food …
Technological advancements in wearable sensors such as the automatic capture of food …