54 citations · 81 across the 8 of their papers we have counts for
5 papers · 1 filter
Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification
Kieran Woodward, Eiman Kanjo, Athanasios Tsanas
The quantification of emotional states is an important step to understanding wellbeing. Time series data from multiple modalities such as physiological and motion sensor data have…
TangToys: Smart Toys that can Communicate and Improve Children's Wellbeing
Kieran Woodward, Eiman Kanjo, David J Brown +1
Children can find it challenging to communicate their emotions especially when experiencing mental health challenges. Technological solutions may help children communicate digitall…
Sensor Data and the City: Urban Visualisation and Aggregation of Well-Being Data
Thomas Johnson, Eiman Kanjo, Kieran Woodward
The growth of mobile sensor technologies have made it possible for city councils to understand peoples' behaviour in urban spaces which could help to reduce stress around the city.…
A Modified Epidemiological Model to Understand the Uneven Impact of COVID-19 on Vulnerable Individuals and the Approaches Required to Help them Emerge from Lockdown
Dario Ortega Anderez, Eiman Kanjo, Ganna Pogrebna +2
COVID-19 has shown a relatively low mortality rate in young healthy individuals, with the majority of this group being asymptomatic or having mild symptoms, while the severity of t…
On-Device Transfer Learning for Personalising Psychological Stress Modelling using a Convolutional Neural Network
Kieran Woodward, Eiman Kanjo, David J. Brown +1
Stress is a growing concern in modern society adversely impacting the wider population more than ever before. The accurate inference of stress may result in the possibility for per…