Walking behavior recognition system using smart insole = 스마트 인솔을 이용한 보행 인식 시스템

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In this paper, we construct a system that recognizes user's walking behavior using smart insole with FSR (Force Sensitive Resistor). We analyze the data measured by smart insole using CNN (Convolution Neural Network to classify user's behavior as walking, going down stairs, going up stairs, standing and lying down. Especially when the user's walking behavior is walking, we divide user's walking by normal walking and abnormal walking (out toe, in toe, bent waist). At the same time, we count the steps using average value of pressure applied the smart insole. So we can calculate ratio of abnormal steps.
Advisors
Kyung, Chong-Minresearcher경종민researcher
Description
한국과학기술원 :전기및전자공학부,
Publisher
한국과학기술원
Issue Date
2018
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 전기및전자공학부, 2018.2,[iii, 31 p. :]

Keywords

Walking Behavior▼aStep count▼aConvolutional Neural Network; 보행 행동▼a걸음 수▼a컨벌루션 뉴럴 네트워크

URI
http://hdl.handle.net/10203/266702
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=733992&flag=dissertation
Appears in Collection
EE-Theses_Master(석사논문)
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