Greetings

I'm a 4th-year Ph.D. candidate in Computer Science at the University of Toronto, working under the supervision of Prof. Khai Truong.

My research centers human-AI interaction, with an emphasis on accessibility and creativity support, particularly in enhancing "music accessibility" for d/Deaf and hard-of-hearing individuals. One of my main projects involves song signing to support culturally responsive content creation and encourage collaboration between d/Deaf and non-d/Deaf artists. Another aspect of my work focuses on enhancing people's well-being. I am engaged in projects that support individuals with dementia in their out-of-home experiences and encourage mindful eating behaviours among children.

I completed my B.Sci in Computer Science and Engineering at Ewha Womans University, where I was advised by Prof. Uran Oh (Human-Computer Interaction Lab) and Prof. Hyokyung Bahn (Distributed Computing and Operating System Lab). Additionally, I worked as a research intern at the Samsung AI Centre Toronto under the guidance of Dr. Iqbal Mohomed, and at NAVER AI (HCI group) with Dr. Young-Ho Kim.
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Special Topics in Human-Computer Interaction: Face Recog in MS HoloLens 1 (Fall, 2020)

Class: Special Topics in Human-Computer Interaction

Class Number: G17618-01 (Graduate Course, Auditing)

Date: Fall 2020
Professor: Uran Oh
Main Idea: Face Recognition at HoloLens1 - Calculating the location, Recognizing the person, Emotion recognition
Methods: Azure Face API, MRTK2, DirectX, C++, and C#
Results: 





Individual Project: 

HoloLens + Accessibility

Face Recognition 


Currently, I am working on HoloLens for face recognition.

MS Azure's FACE API and Direct X are used!

The goal of the project is to recognize and distinguish faces and measure the distance to a focused person.

As an additional function, I want to inform the face direction and facial expression to the user. 





I have also worked on "Gesture Recognition" at Hololens!












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