Face-Connect:顔の動きに基づいたサービス推薦・選択手法

Face-Connect:Recommendation and Selection Technique of Service Based on Movement of Face

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著者/Authors

駒木 亮伯 Akinori Komaki 慶應義塾大学大学院 政策・メディア研究科 Graduate School of Media and Governance, Keio University
岩井 将行 Masayuki Iwai 慶應義塾大学大学院 政策・メディア研究科 Graduate School of Media and Governance, Keio University
神武 直彦 Naohiko Kohtake 慶應義塾大学大学院 政策・メディア研究科 Graduate School of Media and Governance, Keio University
高汐 一紀 Kazunori Takashio 慶應義塾大学 環境情報学部 Faculty of Environmental Information, Keio University
徳田 英幸 Hideyuki Tokuda 慶應義塾大学 環境情報学部, 大学院 政策メディア研究科 Faculty of Environmental Information, Keio University & Graduate School of Media and Governance, Keio University

概要/Abstract

In ubiquitous computing age,numerous kinds of location-aware service are rapidly evolved.Hot Spot services of a public space using the location information are also diversified.A recommendation and selection technique of the service,however,is not considered.This paper proposes a new framework of recommendation and selection technique of service,called Face-Connect,based on movement of face.This framework analyzes a human's face by using multiple cameras and makes a movement and a direction history of face.This framework calculates a gaze status by using these history.

キーワード/Keywords

location sensing, computer vision, context-awareness

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