Wearable and mobile sensors for personalized nutrition

JR Sempionatto, VRV Montiel, E Vargas… - ACS …, 2021 - ACS Publications
While wearable and mobile chemical sensors have experienced tremendous growth over
the past decade, their potential for tracking and guiding nutrition has emerged only over the …

Ambient intelligence: Technologies, applications, and opportunities

DJ Cook, JC Augusto, VR Jakkula - Pervasive and mobile computing, 2009 - Elsevier
Ambient intelligence is an emerging discipline that brings intelligence to our everyday
environments and makes those environments sensitive to us. Ambient intelligence (AmI) …

The future of food

CM Galanakis - Foods, 2024 - mdpi.com
The global food systems face significant challenges driven by population growth, climate
change, geopolitical conflicts, crises, and evolving consumer preferences. Intending to …

Smart-log: A deep-learning based automated nutrition monitoring system in the iot

P Sundaravadivel, K Kesavan… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
A correct balance of nutrient intake is very important, particularly in infants. When the body is
deprived of essential nutrients, it can lead to serious disease and organ deterioration which …

COSAR: hybrid reasoning for context-aware activity recognition

D Riboni, C Bettini - Personal and Ubiquitous Computing, 2011 - Springer
Human activity recognition is a challenging problem for context-aware systems and
applications. Research in this field has mainly adopted techniques based on supervised …

MAHI: investigation of social scaffolding for reflective thinking in diabetes management

L Mamykina, E Mynatt, P Davidson… - Proceedings of the …, 2008 - dl.acm.org
In the recent years, the number of individuals engaged in self-care of chronic diseases has
grown exponentially. Advances in computing technologies help individuals with chronic …

Wearable food intake monitoring technologies: A comprehensive review

T Vu, F Lin, N Alshurafa, W Xu - Computers, 2017 - mdpi.com
Wearable devices monitoring food intake through passive sensing is slowly emerging to
complement self-reporting of users' caloric intake and eating behaviors. Though the ultimate …

A new method for measuring meal intake in humans via automated wrist motion tracking

Y Dong, A Hoover, J Scisco, E Muth - Applied psychophysiology and …, 2012 - Springer
Measuring the energy intake (kcal) of a person in day-to-day life is difficult. The best
laboratory tool achieves 95% accuracy on average, while tools used in daily living typically …

AutoDietary: A wearable acoustic sensor system for food intake recognition in daily life

Y Bi, M Lv, C Song, W Xu, N Guan… - IEEE Sensors Journal, 2015 - ieeexplore.ieee.org
Nutrition-related diseases are nowadays a main threat to human health and pose great
challenges to medical care. A crucial step to solve the problems is to monitor the daily food …

Recognition of dietary activity events using on-body sensors

O Amft, G Tröster - Artificial intelligence in medicine, 2008 - Elsevier
OBJECTIVE: An imbalanced diet elevates health risks for many chronic diseases including
obesity. Dietary monitoring could contribute vital information to lifestyle coaching and diet …