A review of wearable sensors and systems with application in rehabilitation

S Patel, H Park, P Bonato, L Chan… - … of neuroengineering and …, 2012 - Springer
The aim of this review paper is to summarize recent developments in the field of wearable
sensors and systems that are relevant to the field of rehabilitation. The growing body of work …

Review and evaluation of innovative technologies for measuring diet in nutritional epidemiology

AK Illner, H Freisling, H Boeing… - International journal …, 2012 - academic.oup.com
Introduction The use of innovative technologies is deemed to improve dietary assessment in
various research settings. However, their relative merits in nutritional epidemiological …

Window size impact in human activity recognition

O Banos, JM Galvez, M Damas, H Pomares, I Rojas - Sensors, 2014 - mdpi.com
Signal segmentation is a crucial stage in the activity recognition process; however, this has
been rarely and vaguely characterized so far. Windowing approaches are normally used for …

Barriers to the adoption of wearable sensors in the workplace: A survey of occupational safety and health professionals

MC Schall Jr, RF Sesek, LA Cavuoto - Human factors, 2018 - journals.sagepub.com
Objective: To gather information on the (a) types of wearable sensors, particularly personal
activity monitors, currently used by occupational safety and health (OSH) professionals;(b) …

EarBit: using wearable sensors to detect eating episodes in unconstrained environments

A Bedri, R Li, M Haynes, RP Kosaraju, I Grover… - Proceedings of the …, 2017 - dl.acm.org
Chronic and widespread diseases such as obesity, diabetes, and hypercholesterolemia
require patients to monitor their food intake, and food journaling is currently the most …

Wearable sensors and systems

P Bonato - IEEE Engineering in Medicine and Biology …, 2010 - ieeexplore.ieee.org
It is now more than 50 years since the time when clinical monitoring of individuals in the
home and community settings was first envisioned. Until recently, technologies to enable …

A survey on big data-driven digital phenotyping of mental health

Y Liang, X Zheng, DD Zeng - Information Fusion, 2019 - Elsevier
The landscape of mental health has undergone tremendous changes within the last two
decades, but the research on mental health is still at the initial stage with substantial …

Image-assisted dietary assessment: a systematic review of the evidence

L Gemming, J Utter, CN Mhurchu - Journal of the Academy of Nutrition and …, 2015 - Elsevier
Images captured during eating episodes provide objective information to assist in the
assessment of dietary intake. Images are captured using handheld devices or wearable …

A food recognition system for diabetic patients based on an optimized bag-of-features model

MM Anthimopoulos, L Gianola… - IEEE journal of …, 2014 - ieeexplore.ieee.org
Computer vision-based food recognition could be used to estimate a meal's carbohydrate
content for diabetic patients. This study proposes a methodology for automatic food …

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 …