Fluid intake monitoring systems for the elderly: A review of the literature

R Cohen, G Fernie, A Roshan Fekr - Nutrients, 2021 - mdpi.com
Fluid intake monitoring is an essential component in preventing dehydration and
overhydration, especially for the senior population. Numerous critical health problems are …

Technology to Automatically Record Eating Behavior in Real Life: A Systematic Review

H Hiraguchi, P Perone, A Toet, G Camps, AM Brouwer - Sensors, 2023 - mdpi.com
To monitor adherence to diets and to design and evaluate nutritional interventions, it is
essential to obtain objective knowledge about eating behavior. In most research, measures …

Leveraging sound and wrist motion to detect activities of daily living with commodity smartwatches

S Bhattacharya, R Adaimi, E Thomaz - … of the ACM on Interactive, Mobile …, 2022 - dl.acm.org
Automatically recognizing a broad spectrum of human activities is key to realizing many
compelling applications in health, personal assistance, human-computer interaction and …

Leveraging active learning and conditional mutual information to minimize data annotation in human activity recognition

R Adaimi, E Thomaz - Proceedings of the ACM on Interactive, Mobile …, 2019 - dl.acm.org
A difficulty in human activity recognition (HAR) with wearable sensors is the acquisition of
large amounts of annotated data for training models using supervised learning approaches …

Just-in-time adaptive intervention to promote fluid consumption in patients with kidney stones.

DE Conroy, AB West, D Brunke-Reese… - Health …, 2020 - psycnet.apa.org
Objective: Kidney stones are painful and costly. Prevention guidelines emphasize a simple
behavior change: increasing fluid intake and urine output. Unfortunately, adherence to those …

Ok google, what am i doing? acoustic activity recognition bounded by conversational assistant interactions

R Adaimi, H Yong, E Thomaz - Proceedings of the ACM on Interactive …, 2021 - dl.acm.org
Conversational assistants in the form of stand-alone devices such as Amazon Echo and
Google Home have become popular and embraced by millions of people. By serving as a …

Lifelong adaptive machine learning for sensor-based human activity recognition using prototypical networks

R Adaimi, E Thomaz - Sensors, 2022 - mdpi.com
Continual learning (CL), also known as lifelong learning, is an emerging research topic that
has been attracting increasing interest in the field of machine learning. With human activity …

Automated classification of hand gestures using a wristband and machine learning for possible application in pill intake monitoring

S Moccia, S Solbiati, M Khornegah, FFS Bossi… - Computer Methods and …, 2022 - Elsevier
Background Thanks to the increased interest towards health and lifestyle, a larger adoption
in wearable devices for activity tracking is present among the general population. Wearable …

Drinking gesture detection using wrist-worn imu sensors with multi-stage temporal convolutional network in free-living environments

C Wang, TS Kumar, W De Raedt… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
Maintaining adequate hydration is important for health. Inadequate liquid intake can cause
dehydration problems. Despite the increasing development of liquid intake monitoring, there …

An Analysis of Fluid Intake Assessment Approaches for Fluid Intake Monitoring System

CY Hsieh, HY Huang, CT Chan, LT Chiu - Biosensors, 2023 - mdpi.com
Monitoring fluid intake is essential to help people manage their individual fluid intake
behaviors and achieve adequate hydration. Previous studies of fluid intake assessment …