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ISM
2008
IEEE

Adaptive Modeling of a User's Daily Life with a Wearable Sensor Network

8 years 2 months ago
Adaptive Modeling of a User's Daily Life with a Wearable Sensor Network
In an environment where the contexts of users are complex and the degree of freedom of user activity is very high, such as in daily life, several factors need to be considered for constructing user models. Such a model should include changes in the meanings of activities that reflect the user's situation both temporally and individually. In this paper we propose a novel approach for personalizing the user model and adapting it to individual circumstances with a wearable sensor network. We also describe the process for determining the repetitive activities of a user by using incremental clustering and Bayesian network. We show experimental results for an adaptive user model based on a real wearable sensor platform. Multimedia data of user experience are acquired from the multimodal sensors, and processed to metadata that have meanings.
Hyoungnyoun Kim, Ig-Jae Kim, Hyoung-Gon Kim, Ji-Hy
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2008
Where ISM
Authors Hyoungnyoun Kim, Ig-Jae Kim, Hyoung-Gon Kim, Ji-Hyung Park
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