Challenges of learning human digital twin: Case study of mental wellbeing: Using sensor data and machine learning to create HDT

E Vildjiounaite, J Kallio, J Kantorovitch… - Proceedings of the 16th …, 2023 - dl.acm.org
Human Digital Twin (HDT) is a powerful tool to create a virtual replica of a human, to be
used for example for designing interactions with physical systems, preventing cognitive …

Using wearable biosensors and ecological momentary assessments for the detection of prolonged stress in real life

R Tutunji, N Kogias, B Kapteijns, M Krentz, F Krause… - bioRxiv, 2021 - biorxiv.org
Background Increasing efforts toward prevention of stress-related mental disorders have
created a need for unobtrusive real-life monitoring of stress-related symptoms. Wearable …

Towards Social Enterprise with Internet of Office Desks

E Vildjiounaite, J Kallio, J Kantorovitch… - … -Centric Computing in a …, 2020 - Springer
Social enterprises are organisations, combining profit making with support of their
employees and environment. Employee stress is harmful for both society (due to increased …

Research Challenges Along the Data Analysis Chain for Emotional AI

E Vildjiounaite, J Kantorovitch, J Kallio… - … Data Applications and … - books.google.com
Emotional AI represents a relatively new research area, and to date, its focus has been on
the development of AI methods to recognise instantaneous human states, for example …

Measuring math anxiety through self-reports and physiological data

F Demedts, J Cornelis, B Reynvoet… - Journal of Numerical …, 2023 - jnc.psychopen.eu
Math anxiety (MA) is an important affective factor that contributes to individuals' math
proficiency. While self-reports are commonly used to measure MA, a number of limitations …

[引用][C] Towards Social Enterprise with Internet of Office Desks

E Vildjiounaite, J Kallio, J Kantorovitch, V Kyllönen…