Wearable hybrid device capable of interactive perception with pressure sensing and visualization

Y Guo, H Li, Y Li, X Wei, S Gao, W Yue… - Advanced Functional …, 2022 - Wiley Online Library
A wearable interactive device that can synchronously detect and visualize pressure, stimuli
will supplement easily identifiable in situ signals with conventional sensing that outputs only …

Wearable, epidermal devices for assessment of swallowing function

T Rafeedi, A Abdal, B Polat, KA Hutcheson… - npj Flexible …, 2023 - nature.com
Swallowing is an ensemble of voluntary and autonomic processes key to maintaining our
body's homeostatic balance. Abnormal swallowing (dysphagia) can cause dehydration …

Future directions for integrative objective assessment of eating using wearable sensing technology

A Skinner, Z Toumpakari, C Stone, L Johnson - Frontiers in nutrition, 2020 - frontiersin.org
Established methods for nutritional assessment suffer from a number of important limitations.
Diaries are burdensome to complete, food frequency questionnaires only capture average …

Smartwatch-based eating detection: Data selection for machine learning from imbalanced data with imperfect labels

S Stankoski, M Jordan, H Gjoreski, M Luštrek - Sensors, 2021 - mdpi.com
Understanding people's eating habits plays a crucial role in interventions promoting a
healthy lifestyle. This requires objective measurement of the time at which a meal takes …

AI-assisted food intake activity recognition using 3D mmWave radars

YH Wu, Y Chen, S Shirmohammadi… - Proceedings of the 7th …, 2022 - dl.acm.org
The automatic recognition of when and for how long a person is eating a certain food or
drinking has applications in telecare, smarthome data monetization, and diet control …

[HTML][HTML] Deep learning–based multimodal data fusion: Case study in food intake episodes detection using wearable sensors

N Bahador, D Ferreira, S Tamminen… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background: Multimodal wearable technologies have brought forward wide possibilities in
human activity recognition, and more specifically personalized monitoring of eating habits …

[HTML][HTML] Overview of objective measurement technologies for nutrition research, food-related consumer and marketing research

E Rantala, A Balatsas-Lekkas, N Sozer… - Trends in Food Science & …, 2022 - Elsevier
Background Despite their reliability-and validity-related challenges, self-reports remain the
most common data collection method in nutrition research, food-related consumer and …

Detecting eating episodes from wrist motion using daily pattern analysis

Z Tang, A Patyk, J Jolly, SP Goldstein… - IEEE journal of …, 2023 - ieeexplore.ieee.org
This paper presents new methods to detect eating from wrist motion. Our main novelty is that
we analyze a full day of wrist motion data as a single sample so that the detection of eating …

A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection

NA Selamat, SHM Ali, KNB Minhad… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This article uses a proximity sensor to perform noncontact-based (sensing) chewing activity
detection, capturing the temporalis muscle movement during food intake. The proposed …

[HTML][HTML] 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 …