iMOST: Intelligent Motion-Sensing Approaches for Tracking Emotion

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 devices. 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 smart phone apps. We identified several specifications 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.

Name thesis:degree_name

M.S.

Discipline thesis:degree_discipline

Computer Science (UMKC)

Grantor dc:publisher

University of Missouri -- Kansas City

Year dc:date.issued

2018

Author dc:creator

• Choi, Sarah

Advisor dc:contributor.advisor

• Song, Sejun

Language dc:language.iso

en_US

Handle dc:identifier.uri

https://hdl.handle.net/10355/67036

OAI identifier oai:identifier

oai:mospace.umsystem.edu:10355/67036