Using Thermal and Contact Sensors for Mood Detection in Smart Living Environments-Reference-Cited by-同舟云学术

Using Thermal and Contact Sensors for Mood Detection in Smart Living Environments

Published:2024-06-26 Issue: Volume: Page:351-358
ISSN:
Container-title:Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments
language:
Short-container-title:

Author:

Garcia-Constantino Matias¹^ORCID,Konios Alexandros²^ORCID,Ekerete Idongesit¹^ORCID,Mustafa Mustafa A.³^ORCID,Hussein Lopez-Nava Irvin⁴^ORCID,V. Altamirano-Flores Yulith⁵^ORCID

Affiliation:

1. Ulster University, United Kingdom

2. Nottingham Trent University, United Kingdom

3. The University of Manchester, United Kingdom

4. CICESE, Mexico

5. Universidad de Castilla-La Mancha, Spain

Funder

Invest Northern Ireland

Engineering and Physical Sciences Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652037.3663914

Reference31 articles.

1. An intelligent healthcare monitoring framework using wearable sensors and social networking data

2. Yulith V. Altamirano-Flores Alexandros Konios Irvin Hussein Lopez-Nava Matias Garcia-Constantino Idongesit Ekerete and Mustafa A. Mustafa. 2023. Analysis of Accelerometer Data for Personalised Mood Detection in Activities of Daily Living. In 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). 200–205. https://doi.org/10.1109/PerComWorkshops56833.2023.10150223

3. J. D. Amor and C. J. James. 2009. Personalized Ambient Monitoring: Accelerometry for Activity Level Classification. In 4th European Conference of the International Federation for Medical and Biological Engineering, Jos Vander Sloten, Pascal Verdonck, Marc Nyssen, and Jens Haueisen (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 866–870.

4. A Knowledge-Driven Approach to Activity Recognition in Smart Homes

5. Distinctions between emotion and mood