MEMOA: Introducing the Multi-Modal Emotional Memories of Older Adults Database

In order to contribute to the need of spontaneous multi-modal affective databases for the automatic recognition of emotions in older adults, this paper presents a novel Dutch multi-modal database consisting of emotional memories of older adults. The data consists of positive and negative memories of...

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Bibliographic Details
Published in2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII) pp. 697 - 703
Main Authors Nazareth, Deniece S., Jansen, Michel-Pierre, Truong, Khiet P., Westerhof, Gerben J., Heylen, Dirk
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2019
Subjects
aged
annotation
autobiographical memory recall
Cameras
Emotion recognition
emotions
Heart rate
life events
Media
multi-modal
older adults
Physiology
spontaneous
Task analysis
valence
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Summary:In order to contribute to the need of spontaneous multi-modal affective databases for the automatic recognition of emotions in older adults, this paper presents a novel Dutch multi-modal database consisting of emotional memories of older adults. The data consists of positive and negative memories of older adults eliciting through two emotion reliving tasks: autobiographical memory recall in the first session and life story books to discuss these memories in depth in the second session. Data collection was carried out at the participants' home or at a place comfortable to them. Audio was recorded for the first session whereas audio, video and physiological data were recorded for the second session. As this database introduces a novel way of using autobiographical memories to study emotional expressions in older adults, a first step of the complex coding of emotions is presented in this paper. We reflect on the challenges encountered in the database and propose ways to address these issues.
ISSN:2156-8111
DOI:10.1109/ACII.2019.8925462