7-7 SenseCamによる個人体験の記録と行動検出 : Wi-Fi位置検出の利用(第7部門 メディア工学2)

抄録

In this paper, a system for retrieval and segmentation of our daily life personal experience captured by SenseCam is developed. Several machine learning algorithms have been used to classify the activities of daily life. A Wi-Fi-based location estimation technology called PlaceEngine is employed to improve the precision of personal experience segmentation for SenseCam.