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

Matias Garcia-Constantino, Alexandros Konios, Idongesit Ekerete, Mustafa A. Mustafa, Irvin Hussein Lopez-Nava, Yulith V. Altamirano-Flores

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Mental health in everyday life can be supported using ambient and wearable sensors, which could detect when a person is feeling well (e.g. happy or calm) or not feeling well (e.g. stressed or sad). Identifying positive or negative moods can be useful for interventions to reinforce or improve them respectively. Previous work that used data from wearable sensors (accelerometers) in a personalized way successfully identified mood while users performed Activities of Daily Living (ADLs). This paper presents a general approach to using data from ambient (contact and thermal) sensors to identify the mood of users while performing ADLs. The rationale for using ambient sensors is their non-intrusiveness. Users do not have to be as concerned about their use or maintenance as with wearable sensors. Data was collected from 15 participants performing ADLs in 7 sessions. Accuracy classification results obtained with 7 algorithms underperformed, with the highest value being 45.74% with Random Forest in 10-Fold Cross Validation. For future work, data from other sensors (in addition to the accelerometer) will be collected to support the improvement of the personalized approach presented, and other evaluation metrics (e.g. F1-score and AUC) will be used.
Original languageEnglish
Title of host publicationPETRA '24: Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments
EditorsEnamul Karim, Sama Nikanfar, Hamza Reza Pavel
Number of pages8
ISBN (Electronic)9798400717604
Publication statusPublished (in print/issue) - 26 Jun 2024
EventPETRA '24: The PErvasive Technologies Related to Assistive Environments Conference - Crete, Greece
Duration: 26 Jun 202428 Jun 2024

Publication series

NameACM International Conference Proceeding Series


ConferencePETRA '24: The PErvasive Technologies Related to Assistive Environments Conference
Abbreviated titlePETRA '24

Bibliographical note

Publisher Copyright:
© 2024 ACM.


  • Activities of Daily Living
  • Activity Recognition
  • Ambient Sensors
  • Healthcare.
  • Machine Learning
  • Mood


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