The familiar: a living diary and companion
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Wearable and automotive systems for affect recognition from physiology
Wearable and automotive systems for affect recognition from physiology
InSense: Interest-Based Life Logging
IEEE MultiMedia
International Journal of Human-Computer Studies
A User Model of Psycho-physiological Measure of Emotion
UM '07 Proceedings of the 11th international conference on User Modeling
Fundamentals of physiological computing
Interacting with Computers
Experiencing the Affective Diary
Personal and Ubiquitous Computing
Now let me see where i was: understanding how lifelogs mediate memory
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Everyday concept detection in visual lifelogs: validation, relationships and trends
Multimedia Tools and Applications
Emotions: the voice of the unconscious
ICEC'10 Proceedings of the 9th international conference on Entertainment computing
Affective Computing: From Laughter to IEEE
IEEE Transactions on Affective Computing
Exploiting linked data to create rich human digital memories
Computer Communications
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Lifelogging tools aim to precisely capture daily experiences of people from the first-person perspective. Although there have been numerous lifelogging tools developed for users to record the external environment around them, the internal part of experience characterized by emotions seems to be neglected in the lifelogging field. However, the internal experiences of people are important and, therefore, lifelogging tools should be able to capture not only the environmental data, but also emotional experiences, thereby providing a more complete archive of past events. Moreover, there are implicit emotions that cannot be consciously experienced, but still influence human behaviors and memories. It has been proven that conscious emotions can be recognized from physiological signals of the human body. This fact may be used to enhance life-logs with information about unconscious emotions, which otherwise would remain hidden. On the other hand, it is not clear if unconscious emotions can be recognized from physiological signals and differentiated from conscious emotions. Therefore, an experiment was designed to elicit emotions (both conscious and unconscious) with visual and auditory stimuli and to record cardiovascular responses of 34 participants. The experimental results showed that heart rate responses to the presentation of the stimuli are unique for every category of the emotional stimuli and allow differentiation between various emotional experiences of the participants.