Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings?

Author:

Grzeszczyk Michal K.1ORCID,Lisowska Anna2ORCID,Sitek Arkadiusz3ORCID,Lisowska Aneta2ORCID

Affiliation:

1. Sano Centre for Computational Medicine, Poland

2. Poznan University of Technology, Poland

3. Massachusetts General Hospital, Harvard Medical School, United States

Funder

European Union's Horizon 2020

Foundation for Polish Science

Publisher

ACM

Reference16 articles.

1. Stress detection in daily life scenarios using smart phones and wearable sensors: A survey

2. Continuous Stress Detection Using Wearable Sensors in Real Life: Algorithmic Programming Contest Case Study

3. Michal  K. Grzeszczyk , Rosmary Blanco , Paulina Adamczyk , Maciej Kuś , Sylwia Marek , Ryszard Pręcikowski , and Aneta Lisowska . 2023. CogWear: Can we detect cognitive effort with consumer-grade wearables? ’ (version 1.0.0). PhysioNet ( 2023 ). Michal K. Grzeszczyk, Rosmary Blanco, Paulina Adamczyk, Maciej Kuś, Sylwia Marek, Ryszard Pręcikowski, and Aneta Lisowska. 2023. CogWear: Can we detect cognitive effort with consumer-grade wearables?’ (version 1.0.0). PhysioNet (2023).

4. CLAS: A Database for Cognitive Load, Affect and Stress Recognition

5. Ingrid Oakley-Girvan and What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review. Telemedicine and e-Health ( 2021 ). Ingrid Oakley-Girvan andet al. 2021. What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review. Telemedicine and e-Health (2021).

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