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The development of automatic nutrition diaries, which would allow to keep track objectively of everything we eat, could enable a whole new world of possibilities for people concerned about their nutrition patterns. With this purpose, in…

Computer Vision and Pattern Recognition · Computer Science 2017-01-20 Marc Bolaños , Petia Radeva

Food journaling is an effective method to help people identify their eating patterns and encourage healthy eating habits as it requires self-reflection on eating behaviors. Current tools have predominately focused on tracking food intake,…

Human-Computer Interaction · Computer Science 2020-02-17 Yixuan Zhang , Andrea G. Parker

Collective animal movement fascinates children and scientists alike. One of the most commonly given explanations for collective animal movement is improved foraging. Animals are hypothesized to gain from searching for food in groups. Here,…

Multiagent Systems · Computer Science 2019-04-08 Ravid Cohen , Yossi Yovel , Dan Halperin

People are able to detect up to 1 trillion odors. Yet, city planning is concerned only with a few bad odors, mainly because odors are currently captured only through complaints made by urban dwellers. To capture both good and bad odors, we…

Social and Information Networks · Computer Science 2016-05-24 Daniele Quercia , Luca Maria Aiello , Rossano Schifanella

For humans, taste is essential for perceiving food's nutrient content or harmful components. The current sensory evaluation of taste mainly relies on artificial sensory evaluation and electronic tongue, but the former has strong…

Signal Processing · Electrical Eng. & Systems 2023-07-12 Xiuxin Xia , Yuchao Yang , Yan Shi , Wenbo Zheng , Hong Men

Consumers often react expressively to products such as food samples, perfume, jewelry, sunglasses, and clothing accessories. This research discusses a multimodal affect recognition system developed to classify whether a consumer likes or…

Human-Computer Interaction · Computer Science 2017-05-09 Amol S Patwardhan , Gerald M Knapp

The demand for accurate food quantification has increased in the recent years, driven by the needs of applications in dietary monitoring. At the same time, computer vision approaches have exhibited great potential in automating tasks within…

Computer Vision and Pattern Recognition · Computer Science 2023-08-23 Valasia Vlachopoulou , Ioannis Sarafis , Alexandros Papadopoulos

Phenomics is concerned with detailed description of all aspects of organisms, from their physical foundations at genetic, molecular and cellular level, to behavioural and psychological traits. Neuropsychiatric phenomics, endorsed by NIMH,…

Neurons and Cognition · Quantitative Biology 2021-01-13 Włodzisław Duch

Our experience of the world is multimodal - we see objects, hear sounds, feel texture, smell odors, and taste flavors. Modality refers to the way in which something happens or is experienced and a research problem is characterized as…

Machine Learning · Computer Science 2017-08-02 Tadas Baltrušaitis , Chaitanya Ahuja , Louis-Philippe Morency

Emotions are a central key for understanding human beings and of fundamental importance regarding their impact in human and animal behaviors. They have been for a long time a subject of study for various scholars including in particular…

Neurons and Cognition · Quantitative Biology 2021-12-15 B. Ambrosio

The exponential growth of popularity of multimedia has led to needs for user-centric adaptive applications that manage multimedia content more effectively. Implicit analysis, which examines users' perceptual experience of multimedia by…

Human-Computer Interaction · Computer Science 2018-09-13 Seong-Eun Moon , Jong-Seok Lee

Emotional design has been well recognized in the domain of human factors and ergonomics. In this chapter, we reviewed related models and methods of emotional design. We are motivated to encourage emotional designers to take multiple…

Human-Computer Interaction · Computer Science 2020-10-08 Feng Zhou , Yangjian Ji , Roger Jianxin Jiao

Emotion is a crucial phenomenon in the functioning of human beings in society. However, it remains a widely open subject, particularly in its textual manifestations. This paper examines an industrial corpus manually annotated following an…

Computation and Language · Computer Science 2025-09-03 Jonas Noblet

With the rise and development of computer vision and LLMs, intelligence is everywhere, especially for people and cars. However, for tremendous food attributes (such as origin, quantity, weight, quality, sweetness, etc.), existing research…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Zhenbo Xu , Jinghan Yang , Gong Huang , Jiqing Feng , Liu Liu , Ruihan Sun , Ajin Meng , Zhuo Zhang , Zhaofeng He

Affective states regulate our day to day to function and has a tremendous effect on mental and physical health. Detection of affective states is of utmost importance for mental health monitoring, smart entertainment selection and dynamic…

Human-Computer Interaction · Computer Science 2024-02-29 Ritam Ghosh

Emotion recognition using EEG signals is an emerging area of research due to its broad applicability in BCI. Emotional feelings are hard to stimulate in the lab. Emotions do not last long, yet they need enough context to be perceived and…

Signal Processing · Electrical Eng. & Systems 2022-11-07 Mohammad Asif , Sudhakar Mishra , Majithia Tejas Vinodbhai , Uma Shanker Tiwary

Odor identification is an important area in a wide range of industries like cosmetics, food, beverages and medical diagnosis among others. Odor detection could be done through an array of gas sensors conformed as an electronic nose where a…

Machine Learning · Computer Science 2019-05-06 Jose de Jesus Rubio , Ramon Silva Ortigoza , Francisco Jacob Avila , Adolfo Melendez , Juan Manuel Stein

This study reports on the semantic organization of English sensory descriptors of the five basic senses of sight, hearing, touch, taste, and smell in a large corpus of over 8,000 fiction books. We introduce a large-scale text data-driven…

Computation and Language · Computer Science 2021-10-20 Roxana Girju , Charlotte Lambert

The study of food pairing has evolved beyond subjective expertise with the advent of machine learning. This paper presents FlavorDiffusion, a novel framework leveraging diffusion models to predict food-chemical interactions and ingredient…

Machine Learning · Computer Science 2025-02-12 Seo Jun Pyo

Communication signals often comprise an array of colors, lines, spots, notes or odors that are arranged in complex patterns, melodies or blends. Receiver perception is assumed to influence preference and thus the evolution of signal design,…

Populations and Evolution · Quantitative Biology 2019-01-04 Julien P. Renoult , Tamra C. Mendelson