Modern wearables and smart devices make it easier than ever to collect a detailed, digital record of biometric as well as visual and aural information. Reasons to collect such a lifelog range from health applications to vacation documentation. With the large quantities of data that can be collected in very short periods of time, it remains a challenging problem to find specific events and answer questions based on such lifelogs. In order to support lifelog multimedia analytics within collections of large sizes, interactive analytics methods must be developed that take advantage of the diverse and multimodal data available.
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Spieß et al. (2024) studied this question.
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