(A) mobile system design study of monitoring child enticement = 아동 유인 감지 모바일 시스템 디자인 연구

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Keeping child safe is a critical mission for parents and also society. Despite the importance, there are several threats that can make child dangerous. We point out that enticing child can be a starting mark of those dangers, in particular, child abduction and sexual assaults. In this work, as far as we understand, we firstly propose a monitoring system that enables to catch child enticing situation. For a child, enticing is difficult to fully understand since the child usually has no ability to judge a situation exactly. We observe several experimental videos that reveal children are vulnerable for determining whether a temptation (e.g. "Do you want a candy?") is intentional or not. Conducting interviews with parents who use kids wearable devices, we understand limitations of current devices. Implementing a monitoring system with a commercial smartwatch, we make three scenarios including enticing, street talking, and visiting a store. With modeled scenario, we present that the proposed design enables to capture enticing scenario. We exploit deep learning for voice separation and the Android APIs for walking detection to judge the child enticement scenario.
Advisors
Kim, Johnresearcher김동준researcher
Description
한국과학기술원 :전산학부,
Publisher
한국과학기술원
Issue Date
2017
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 전산학부, 2017.2,[iv, 31 p. :]

Keywords

deep learninng; voice separation; walking detect; 아동 유인; 스마트워치; 딥 러닝; 목소리 분류; 걸음 감지; child enticement; smartwatch

URI
http://hdl.handle.net/10203/243410
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=675483&flag=dissertation
Appears in Collection
EE-Theses_Master(석사논문)
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