Concept
Binge eating
Related publications (17)
Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life
A range of behavioral and contextual factors, including eating and drinking behavior, mood, social context, and other daily activities, can significantly impact an individual's quality of life and overall well-being. Therefore, inferring everyday life aspe ...
EPFL2024Sensing Eating Events in Context: A Smartphone-Only Approach
Daniel Gatica-Perez, Lakmal Buddika Meegahapola
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 framework that infers e ...
2022Practical Byzantine-resilient Stochastic Gradient Descent
Sébastien Louis Alexandre Rouault
Algorithms are everywhere.The recipe for the frangipane cake is an algorithm.If all the listed ingredients are available and the cook is sufficiently deft, after a finite number of small, well-defined steps a delicious dessert will exit the oven.Now, what ...
EPFL2022Obesity-associated deficits in inhibitory control are phenocopied to mice through gut microbiota changes in one-carbon and aromatic amino acids metabolic pathways
Background Inhibitory control (IC) is critical to keep long-term goals in everyday life. Bidirectional relationships between IC deficits and obesity are behind unhealthy eating and physical exercise habits. Methods We studied gut microbiome composition and ...
BMJ PUBLISHING GROUP2021Genetic, metabolic, and molecular insights into the diverse outcomes of diet-induced obesity in mouse
Overweight and obesity are increasingly common public health issues worldwide, leading to a wide range of diseases from metabolic syndrome to steatohepatitis and cardiovascular diseases. While the increase in the prevalence of obesity is partly attributabl ...
EPFL2021Alone or With Others? Understanding Eating Episodes of College Students with Mobile Sensing
Daniel Gatica-Perez, Lakmal Buddika Meegahapola
Understanding food consumption patterns and contexts using mobile sensing is fundamental to build mobile health applications that require minimal user interaction to generate mobile food diaries. Many available mobile food diaries, both commercial and in r ...
Association for Computing Machinery2020Understanding Eating And Drinking In Context From Crowdsourced Data
With the increasing rate of urbanization, understanding food and beverage consumption, including alcohol drinking behaviour with its consequences, is relevant in such a megacity in the future. Especially, investigation of alcohol drinking is necessary for ...
EPFL2020Discovering Eating Routines in Context with a Smartphone App
Daniel Gatica-Perez, Joan Isaac Biel Tres
In everyday life, eating follows patterns and occurs in context. We present an approach to discover daily eating routines of a population following a multidimensional representation of eating episodes, using data collected with the Bites'n'Bits smartphone ...
ASSOC COMPUTING MACHINERY2019After how many drinks does someone experience acute consequences-determining thresholds for binge drinking based on two event-level studies: Optimal thresholds for binge drinking
Background and Aims:
The threshold of 4+/5+ drinks per occasion has been used for decades in alcohol research to distinguish between non risky versus risky episodic drinking. However, no study has assessed the validity of this threshold using event level ...
2018EmovDiary: Visualizing Personal Nutrition Intake and Emotional Response
Recent research has indicated a significant mutual influence between food intake and emotional status. Mindfulness has also shown potential in supporting positive changes in dietary habits. In an attempt to improve individual awareness and mindfulness arou ...
2017