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While the task of automatically detecting eating events has been examined in prior work using various wearable devices, the use of smartphones as standalone devices to infer eating events remains an open issue. This paper proposes a…

Human-Computer Interaction · Computer Science 2022-06-01 Wageesha Bangamuarachchi , Anju Chamantha , Lakmal Meegahapola , Salvador Ruiz-Correa , Indika Perera , Daniel Gatica-Perez

Understanding the social context of eating is crucial for promoting healthy eating behaviors. Multimodal smartphone sensor data could provide valuable insights into eating behavior, particularly in mobile food diaries and mobile health…

Human-Computer Interaction · Computer Science 2023-10-06 Nathan Kammoun , Lakmal Meegahapola , Daniel Gatica-Perez

The interplay between mood and eating episodes has been extensively researched, revealing a connection between the two. Previous studies have relied on questionnaires and mobile phone self-reports to investigate the relationship between…

According to prior work, the type of relationship between the person consuming alcohol and others in the surrounding (friends, family, spouse, etc.), and the number of those people (alone, with one person, with a group, etc.) are related to…

Social and Information Networks · Computer Science 2021-08-04 Lakmal Meegahapola , Florian Labhart , Thanh-Trung Phan , Daniel Gatica-Perez

Loneliness is a critical mental health issue among university students, yet traditional monitoring methods rely primarily on retrospective self-reports and often lack real-time behavioral context. This study explores the use of passive…

Human-Computer Interaction · Computer Science 2025-12-02 Qianjie Wu , Tianyi Zhang , Hong Jia , Simon D'Alfonso

Understanding how social situations unfold in people's daily lives is relevant to designing mobile systems that can support users in their personal goals, well-being, and activities. As an alternative to questionnaires, some studies have…

Human-Computer Interaction · Computer Science 2024-03-04 Aurel Ruben Mader , Lakmal Meegahapola , Daniel Gatica-Perez

Obesity and being over-weight add to the risk of some major life threatening diseases. According to W.H.O., a considerable population suffers from these disease whereas poor nutrition plays an important role in this context. Traditional…

Human-Computer Interaction · Computer Science 2021-01-07 Muhammad Usman , Huanhuan Chen

It is well known that dietary habits have a significant influence on health. While many studies have been conducted to understand this relationship, little is known about the relationship between eating environments and health. Yet…

Computer Vision and Pattern Recognition · Computer Science 2019-11-12 Sri Kalyan Yarlagadda , Sriram Baireddy , David Güera , Carol J. Boushey , Deborah A. Kerr , Fengqing Zhu

During the transition from high school to on-campus college life, a student leaves home and starts facing enormous life changes, including meeting new people, more responsibilities, being away from family, and academic challenges. These…

Human-Computer Interaction · Computer Science 2020-11-13 Yugyeong Kim , Sudip Vhaduri , Christian Poellabauer

Nutrition is a key determinant of long-term health, and social influence has long been theorized to be a key determinant of nutrition. It has been difficult to quantify the postulated role of social influence on nutrition using traditional…

Social and Information Networks · Computer Science 2021-02-18 Kristina Gligorić , Ryen W. White , Emre Kıcıman , Eric Horvitz , Arnaud Chiolero , Robert West

Eating habits are learned throughout the early stages of our lives. However, it is not easy to be aware of how our food-related routine affects our healthy living. In this work, we address the unsupervised discovery of nutritional habits…

Computer Vision and Pattern Recognition · Computer Science 2020-09-17 Estefania Talavera , Andreea Glavan , Alina Matei , Petia Radeva

Background: Loneliness among students is increasing across the world, with potential consequences for mental health and academic success. To address this growing problem, accurate methods of detection are needed to identify loneliness and…

Human-Computer Interaction · Computer Science 2024-04-03 Malik Muhammad Qirtas , Evi Zafeirid , Dirk Pesch , Eleanor Bantry White

The adverse effects of loneliness on both physical and mental well-being are profound. Although previous research has utilized mobile sensing techniques to detect mental health issues, few studies have utilized state-of-the-art wearable…

Food is central to life. Food provides us with energy and foundational building blocks for our body and is also a major source of joy and new experiences. A significant part of the overall economy is related to food. Food science,…

Multimedia · Computer Science 2020-09-01 Ali Rostami , Vaibhav Pandey , Nitish Nag , Vesper Wang , Ramesh Jain

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…

Human-Computer Interaction · Computer Science 2022-06-08 Christos Diou , Konstantinos Kyritsis , Vasileios Papapanagiotou , Ioannis Sarafis

Loneliness and depression are interrelated mental health issues affecting students well-being. Using passive sensing data provides a novel approach to examine the granular behavioural indicators differentiating loneliness and depression,…

Human-Computer Interaction · Computer Science 2023-08-31 Malik Muhammad Qirtas , Evi Zafeiridi , Eleanor Bantry White , Dirk Pesch

Accurate food intake monitoring is crucial for maintaining a healthy diet and preventing nutrition-related diseases. With the diverse range of foods consumed across various cultures, classic food classification models have limitations due…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Hassan Kazemi Tehrani , Jun Cai , Abbas Yekanlou , Sylvia Santosa

The global mental health crisis is a pressing concern, with college students particularly vulnerable to rising mental health disorders. The widespread use of smartphones among young adults, while offering numerous benefits, has also been…

Computers and Society · Computer Science 2025-05-30 Wei Xuan , Meghna Roy Chowdhury , Yi Ding , Yixue Zhao

Detecting when eating occurs is an essential step toward automatic dietary monitoring, medication adherence assessment, and diet-related health interventions. Wearable technologies play a central role in designing unubtrusive diet…

Machine Learning · Computer Science 2020-03-31 Marjan Nourollahi , Seyed Ali Rokni , Hassan Ghasemzadeh

Over the years, mobile phones have become versatile devices with a multitude of capabilities due to the plethora of embedded sensors that enable them to capture rich data unobtrusively. In a world where people are more conscious regarding…

Human-Computer Interaction · Computer Science 2021-01-05 Lakmal Meegahapola , Daniel Gatica-Perez
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