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

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

21 December 2023
Michal K. Grzeszczyk
Anna Lisowska
Arkadiusz Sitek
Aneta Lisowska
ArXiv (abs)PDFHTML

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

2 / 2 papers shown
Title
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition
  in naturalistic conversations
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations
Cheul Young Park
Narae Cha
Soowon Kang
Auk Kim
A. Khandoker
L. Hadjileontiadis
Alice Oh
Yong Jeong
Uichin Lee
72
136
0
08 May 2020
Consumer Wearables and Affective Computing for Wellbeing Support
Consumer Wearables and Affective Computing for Wellbeing Support
Stanisław Saganowski
Przemyslaw Kazienko
Maciej Dzieżyc
Patrycja Jakimów
Joanna Komoszynska
Weronika Michalska
Anna Dutkowiak
Adam G. Polak
A. Dziadek
Michal Ujma
AI4MH
41
32
0
30 Apr 2020
1