Medicine and Health Sciences Commons^™

A Class Act - Revising Food Classifications To Enable Automated Assessment Of Compliance With Food-Based Dietary Guidelines, H. Al-Sehaim, F. E. Douglas

Conference papers

Food classification systems make it easier to compare data from various sources and aids in the creation of public health guidelines. These systems can include a large amount of foods divided into various food groups and broader food categories.(1) Nutritics employs a standardised food categorisation system containing 114 unique categories. Food-based dietary guidelines (FBDG) categorise food types into general food groups to enable communication around amounts to consume daily basis to promote good health.(2) The correct classification of foods is essential to enable the implementation of an automated feature in Nutritics to assess compliance with FBDGs.This project aims to revise …

Human Skills Assessment As A Support To Human Factor Management, Lorenzo Comberti, Micaela Demichela, Maria Chiara Leva

Conference papers

Automatization, robotics and Industry 4.0 are deeply modifying the working condition with an expected reduction of the number of workers employed in traditional job and an increasing request of new professions. Despite these technologies could limit the involvement of workers, in some sectors humans are still widely employed, as in assembly line of manufacturing companies. As a consequence of this, the Human Factor (HF) will still have relevant influence in term efficiency, quality and safety performances.

This paper approached the HF analysis into the manufacturing field in an assembly line. This study was focused on the analysis of those human-skills …

Driver Persistence, Safety And Older Adult Self-Efficacy: Addressing Driving Challenges Using Innovative Multimodal Communication Concepts, Joan Cahill, Katie Crowley, Sam Cromie, Alison Kay, Michael Gormley, Eamonn Kenny, Sonja Hermann, Ciaran Doyle, Ann Hever, Robert J. Ross

Conference papers

New assisted driving technology provides a solution to enabling driver persistence while also addressing older adult fitness to drive issues. The proposed driver assistance system follows a detailed literature review, an analysis of secondary data, and the specification of a solution using human machine interaction (HMI) design methods. Overall, the assisted driving concept follows from a principled/ethical perspective in relation to promoting self-efficacy and enablement for older adults. The system is conceptualized as a supportive friend or ‘co-pilot’. It is argued that the use of new car-based sensors, along with machine learning intelligence and novel multimodal HMI communication methods will …

Start Of Epidemy In A City: Short-Term Forecast Of Covid-19 With Gmdh-Based Algorithms And Official Medical Statistics, Anna Boldyreva, Mikhail Alexandrov, Olexiy Koshulko, Svetland Popova

Conference papers

The sudden onset and quick development of an unknown epidemic may lead to tragic consequences: panic of population due to victims and unpreparedness of authorities for effectively help to population. These circumstances define extremely high requirements to the tools for short-term operational forecast. Namely, such tools should provide reliable results when model of phenomenon is unknown (factors of disease spreading) and data are limited (time series of observations). GMDH-based algorithms just meet these requirements unlike modern differential or advanced statistical models. In this study we test different algorithms from GMDH Shell platform on the example of Covid-19 epidemic in Moscow …