UROP Research Mentor Project Submission Portal: Submission #721

Research Mentor Information
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Primary Research Mentor Name: Xin Liu
Research Mentor Preferred Pronouns: He/Him/His
When potential research assistants are reaching out via email, what is your preferred honorific?: Dr.
Contact Email (FSU Email if affiliated): xl24j@fsu.edu
Position Title: Faculty
FSU College (if applicable): Arts and Sciences
FSU Department or Non-FSU Organization Affiliation: Computer Science
Headshot (optional): https://cre.fsu.edu/system/files/webform/urop_project_proposal_portal/14231/20240726_Xin-Liu_Headshot-2.jpg

Additional Research Mentor(s)
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Research Assistant Supervisor (if different from above): Jackie Ye
Research Assistant Supervisor Preferred Pronouns: He/Him/His
Research Assistant Supervisor Preferred Honorific?: {Empty}
Contact Email (FSU Email if affiliated): zy22b@fsu.edu
Name of Other Faculty/Collaborator(s) (if applicable): {Empty}
Other Faculty/Collaborator(s) Preferred Pronouns: {Empty}
Other Faculty/Collaborator(s) Preferred Honorific?: {Empty}
Contact Email (FSU Email if affiliated): {Empty}

Overall Project Details
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Title of the Project: Action Recognition based on Human Mesh Sequences
Project Keywords: Action Recognition, Deep Learning, RF Sensing
Are you currently looking for research assistants?: No
Number of Research Assistants Needed : 2
Relevant Research Assistant Major(s):
Computer Science, Electrical Engineering

Project Location:: On FSU Main Campus
If the project location is off campus, does the research assistant(s) need to provide their own transportation?: No, the project is remote
Please select the choice that most accurately describes your expectations for the research assistant(s):: Partially Remote
Approximately how many hours a week would the research assistant(s) need to work?: 10
Roughly what time frame do you expect research assistant(s) to work?: Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Overall Research Project Description:
Other than previous approaches, instead of using Wi-Fi signals to generate a human skeleton sequence, we would generate a human mesh sequence and use it for action recognition. Using human mesh sequence as raw data will bring more information compared with using skeleton sequence, for instance, body surface, torso rotation, etc., which would improve the accuracies of the final action recognition. On the other hand, due to the significant increase in data size, mesh based deep learning model will require much more computational resources. Thus, an efficient down-sampling methodology becomes critical in this project.

Research Tasks:
Research Tasks:
a. Literature Review:
1. Past papers survey
2. Sampling methods they have used
3. Data categories they have used
4. Deep learning models
b. Data collection: Both RGB and RF data, total 868 data clips with 13 persons
c. Data analysis:
1. Robustness of the RF based mesh (Wi-Mesh)
2. Effectiveness of different down-sampling methods
3. Deep learning results of mesh sequences with different numbers of vertices

Skills that research assistant(s) may need::
Programming skills in C or Python are required.
An interest in developing wireless signal processing and machine learning algorithms is required.

Mentoring Philosophy:
I deeply cherish the role of being an educator, taking immense pride in sharing my knowledge and inspiring the next generation. With an interdisciplinary background in both EE and CS, I bring a unique perspective to the students. This diverse knowledge base enables me to bridge the gap between EE and CS concepts, fostering a holistic understanding for students from either domain. Such a foundation not only enriches their academic journey but also prepares them to be innovators and leaders in their respective fields. I fostered an environment that facilitated a deeper and more intuitive understanding of research concepts. I dedicated months to collaborative brainstorming on paper topics, system designs, experiment conduction, and paper writing. To further reinforce the students' understanding, I sometimes posed challenging tasks, the solutions to which I already knew. Far from discouraging them, these tasks sparked their curiosity and enthusiasm, often leading them to invest more time than anticipated out of sheer excitement for creating something valuable.

Please provide a link to your publications, a video clip, or a website for your research project (if applicable):: https://emdcyy.github.io/
Please add any additional information here (if applicable)::
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Are you interested in participating in the UROP Research Mentor Roundtable?: No
Roundtable times and Zoom links:
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UROP Program Elements
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Mentor Handbook, FAQs, and Communication: Yes
UROP Performance Evaluation: Yes
Materials Grant: Yes
UROP Poster Presentation: Yes

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Year: 2024
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