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iMOST: Intelligent Motion-Sensing Ap...

Choi, Sarah.

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iMOST: Intelligent Motion-Sensing Approaches for Tracking Emotion.

Record Type:	Electronic resources : Monograph/item
Title/Author:	iMOST: Intelligent Motion-Sensing Approaches for Tracking Emotion./
Author:	Choi, Sarah.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	63 p.
Notes:	Source: Masters Abstracts International, Volume: 80-08.
Contained By:	Masters Abstracts International80-08.
Subject:	Computer Engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13425889
ISBN:	9780438855434

iMOST: Intelligent Motion-Sensing Approaches for Tracking Emotion.
Choi, Sarah.

iMOST: Intelligent Motion-Sensing Approaches for Tracking Emotion. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 63 p.

Source: Masters Abstracts International, Volume: 80-08.

Thesis (M.S.)--University of Missouri - Kansas City, 2019.

This item must not be sold to any third party vendors.

The aged, minor, and disease members often find it hard to express themselves. They are not fully aware of their need for any help or how to ask for help. The lack of communication ability decreases the quality of life and endangers the life of those members. The purpose of iMOST (Intelligent Motion-Sensing Approaches for Tracking Emotion) is to track the caretaker's emotion in time by harnessing lightweight gait monitoring de-vices. In this thesis, we identified several tracking case scenarios for dementia patients and proposed a couple of efficient event detection algorithms. We performed feasibility tests by using conventional sensors such as IMU (Inertial Measurement Unit) sensor and smartphone apps. We identified several specific actions commonly happened to patients and gathered data from the field experiments. We analyzed the gait data, proposed efficient real-time algorithms for identifying the emotional status, and finally compared the performance and usability of each algorithm.

ISBN: 9780438855434Subjects--Topical Terms:

1567821
Computer Engineering.
Subjects--Index Terms:

IoT

iMOST: Intelligent Motion-Sensing Approaches for Tracking Emotion.
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500 $a Source: Masters Abstracts International, Volume: 80-08.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Song, Sejun.
502 $a Thesis (M.S.)--University of Missouri - Kansas City, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a The aged, minor, and disease members often find it hard to express themselves. They are not fully aware of their need for any help or how to ask for help. The lack of communication ability decreases the quality of life and endangers the life of those members. The purpose of iMOST (Intelligent Motion-Sensing Approaches for Tracking Emotion) is to track the caretaker's emotion in time by harnessing lightweight gait monitoring de-vices. In this thesis, we identified several tracking case scenarios for dementia patients and proposed a couple of efficient event detection algorithms. We performed feasibility tests by using conventional sensors such as IMU (Inertial Measurement Unit) sensor and smartphone apps. We identified several specific actions commonly happened to patients and gathered data from the field experiments. We analyzed the gait data, proposed efficient real-time algorithms for identifying the emotional status, and finally compared the performance and usability of each algorithm.
590 $a School code: 0134.
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650 4 $a Computer science. $3 523869
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653 $a Sensing
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