AIMC Topic: Feeding Behavior

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Will biomimetic robots be able to change a hivemind to guide honeybees' ecosystem services?

Bioinspiration & biomimetics Mar 27, 2023
We study whether or not a group of biomimetic waggle dancing robots is able to significantly influence the swarm-intelligent decision making of a honeybee colony, e.g. to avoid foraging at dangerous food patches using a mathematical model. Our model ...
Humans Animals Bees Feeding Behavior Plant Nectar Ecosystem Robotics Biomimetics
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Development and Analysis of a CNN- and Transfer-Learning-Based Classification Model for Automated Dairy Cow Feeding Behavior Recognition from Accelerometer Data.

Sensors (Basel, Switzerland) Feb 27, 2023
Due to technological developments, wearable sensors for monitoring the behavior of farm animals have become cheaper, have a longer lifespan and are more accessible for small farms and researchers. In addition, advancements in deep machine learning me...
Neural Networks, Computer Machine Learning Cattle Feeding Behavior Accelerometry Algorithms Female Animals
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Evaluation of mouse behavioral responses to nutritive versus nonnutritive sugar using a deep learning-based 3D real-time pose estimation system.

Journal of neurogenetics Feb 15, 2023
Animals are able to detect the nutritional content of sugar independently of taste. When given a choice between nutritive sugar and nonnutritive sugar, animals develop a preference for nutritive sugar over nonnutritive sugar during a period of food d...
Behavior, Animal Sugars Animals Feeding Behavior Deep Learning Mice
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Monitoring the respiratory behavior of multiple cows based on computer vision and deep learning.

Journal of dairy science Feb 14, 2023
Automatic respiration monitoring of dairy cows in modern farming not only helps to reduce manual labor but also increases the automation of health assessment. It is common for cows to congregate on farms, which poses a challenge for manual observatio...
Feeding Behavior Dairying Behavior, Animal Computers Animals Female Deep Learning Cattle
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Design of Residents' Sports Nutrition Data Monitoring System Based on Genetic Algorithm.

Computational intelligence and neuroscience Oct 4, 2022
With the development of modern Internet technology, the health assessment model based on computer technology has gradually become a research hotspot. In the process of studying the health level of residents, exercise status and diet nutrition are imp...
Nutritional Status Feeding Behavior Sports Humans Artificial Intelligence
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Thought on Food: A Systematic Review of Current Approaches and Challenges for Food Intake Detection.

Sensors (Basel, Switzerland) Aug 26, 2022
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, other people with dementia, Alzheimer's disease, or other...
Food Eating Feeding Behavior Humans Artificial Intelligence Nutrition Assessment Adolescent
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Intake monitoring in free-living conditions: Overview and lessons we have learned.

Appetite May 26, 2022
The progress in artificial intelligence and machine learning algorithms over the past decade has enabled the development of new methods for the objective measurement of eating, including both the measurement of eating episodes as well as the measurem...
Meals Algorithms Diet Feeding Behavior Humans Artificial Intelligence
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Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study.

Journal of medical Internet research Mar 1, 2022
BACKGROUND: Monitoring eating is central to the care of many conditions such as diabetes, eating disorders, heart diseases, and dementia. However, automatic tracking of eating in a free-living environment remains a challenge because of the lack of a ...
Humans Machine Learning Prospective Studies Area Under Curve Feeding Behavior Meals
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Evaluation of a Novel Artificial Intelligence System to Monitor and Assess Energy and Macronutrient Intake in Hospitalised Older Patients.

Nutrients Dec 17, 2021
Malnutrition is common, especially among older, hospitalised patients, and is associated with higher mortality, longer hospitalisation stays, infections, and loss of muscle mass. It is therefore of utmost importance to employ a proper method for diet...
Inpatients Malnutrition Eating Feeding Behavior Meals Humans Diet Energy Intake Artificial Intelligence Image Processing, Computer-Assisted Hospitalization Aged Nutrition Assessment
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An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods.

Nutrients Sep 14, 2021
Underconsumption of dietary fiber is prevalent worldwide and is associated with multiple adverse health conditions. Despite the importance of fiber, the labeling of fiber content on packaged foods and beverages is voluntary in most countries, making ...
Automation Nutritional Status Food Packaging Australia Food Labeling Food Analysis Nutrients Algorithms Feeding Behavior Nutrition Policy Beverages Diet Nutritive Value Humans Fast Foods Dietary Fiber Energy Intake Machine Learning
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