[引用][C] An Effective Abnormal Behavior Detection Method

CRD Emane, J Lee, H Choi, S Zong, I Jung… - 한국콘텐츠학회ICCC …, 2023 - dbpia.co.kr
Advances in smartphones and location-based services have made it possible to use
technologies such as global position system (GPS) satellites, cell tower pings, and short …

[PDF][PDF] Collection and Analysis of Location Data for Recognizing User Movement Methods

Y Yoon, K Kim - Proceedings of the Korea Information Processing …, 2013 - koreascience.kr
최근 모바일 기기의 고도화 및 위성 기술의 발달에 따라, 모바일 단말에서 개인 위치의 수집이
용이해지고 있고, 이에 따라 개인 위치 정보 기반의 다양한 서비스들이 주목 받고 있다. 수집된 …

Recognition of Walking Behavior and Phone's Pose by using smart phones

PH Jung, DY Kim, CG Song, SW Lee - Proceedings of the Korean …, 2012 - koreascience.kr
본 논문에서는 GPS 음영 지역에서 사용자의 위치 인식을 위해 추측 항법 기법을 이용하여
사용자의 이동 경로를 추적하는 중간 단계로써 스마트 폰의 내장된 가속도 센서와 나침반 …

Geo-Social Tracking System for Detecting Unusual Behavior: Visualization of Social Activities based on Spatiotemporal Change

SH Seo, C Chung - International Journal of Control and Automation, 2013 - earticle.net
This paper examines the use of geographical tracking system as a method of detecting
juvenile behaviors, while providing an extension to existing a mobile service which has …

Based on Human Position and Motion Trajectory for Behavior Detection

H Zhang, Y Wang, H Li - International Workshop on Computer Science for …, 2011 - Springer
For elderly people in regular daily activities, human position and motion trajectory can be
used as a description of behavioral characteristics. Base on the improved HMM model and …

A method of determining the user's state of movement based on the smart device usage

MS Hong, NH Mok - Journal of the Korea Industrial Information …, 2013 - koreascience.kr
The smart device is a personal device and has the ability to use built-in sensors. Therefore, it
is possible to provide individually customized services through recognizing the user's …

A Mobile Application to Detect Abnormal Patterns of Activity

OA Baki, J Zhang, M Griss, T Lin - … , MobiCASE 2009, San Diego, CA, USA …, 2010 - Springer
In this paper we introduce an unsupervised online clustering algorithm to detect abnormal
activities using mobile devices. This algorithm constantly monitors a user's daily routine and …

The method for extraction of meaningful places based on behavior information of user

SH Lee, BK Kim, TB Yoon, JH Lee - Journal of the Korean Institute …, 2010 - koreascience.kr
Recently, the advance of mobile devices has made various services possible beyond simple
communication. One of services is the predicting the future path of users and providing the …

Behavioral Analysis based on Dynamic Detection of Anomalies in Mobile Device Activity with Machine Learning

AB TASCIOGLU - thesis.unipd.it
As the popularity of mobile end devices is growing exponentially, the number of malicious
activities directed against them has also surged. People are using their mobile devices for …

Abnormal Step Recognition for Pedestrian Danger Recognition

CK Ryu - The Journal of the Korea institute of electronic …, 2017 - koreascience.kr
Various attempts have been made to prevent crime risk. One of the cases where outdoor
pedestrians are attacked by criminals is the abnormal health condition. When a mental or …