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STEM Showcase (6:00-7:00) - Shared screen with speaker view
Alicia Batailles
08:07
President’s Showcase programhttps://bit.ly/2021PrezShowcaseInteractive Wallhttps://padlet.com/PrezShowcase2021/17ozlyk9vlrr2qgsCRE Resourceshttps://linktr.ee/FSUCREIDEA Grants webpagehttps://cre.fsu.edu/undergradresearch/ideagrants
Alicia Batailles
12:14
President’s Showcase programhttps://bit.ly/2021PrezShowcaseInteractive Wallhttps://padlet.com/PrezShowcase2021/17ozlyk9vlrr2qgsCRE Resourceshttps://linktr.ee/FSUCREIDEA Grants webpagehttps://cre.fsu.edu/undergradresearch/ideagrants
Alicia Batailles
14:16
President’s Showcase programhttps://bit.ly/2021PrezShowcaseInteractive Wallhttps://padlet.com/PrezShowcase2021/17ozlyk9vlrr2qgsCRE Resourceshttps://linktr.ee/FSUCREIDEA Grants webpagehttps://cre.fsu.edu/undergradresearch/ideagrants
Samantha Vaillancourt
14:45
should I do the padlet activity for each of the presentations?
Alicia Batailles
21:08
Feel free to ask questions about the research in the chat during the presentation. Presenters will have time to answer questions right after their presentation
Madelyn Dupuis
25:35
So cool!!!
Kira St. Juste
25:49
Does the computer system differentiate between women and men movements?
Lisa Spainhour
25:52
Great presentation; very interesting!
Samantha Vaillancourt
25:55
does the professional gambling give money to your cause or can you get them to because it will benefit them
Mariam Medina
26:01
Amazing work!
Derrick Woodard
26:09
Do you think the computer system can be used for different sports?
Cara Addeeb
26:12
very interesting!
John Stainbrook
26:12
Was it hard to track the balls movement? Did it require a high speed camera?
Sophie Pineau
26:19
Very interesting- great idea
Maribel Amwake
26:28
Great research and wonderful presentation.
Sylvia Long
26:28
Do you plan on exploring these models further?
Diego Abad
26:30
Do you think you will be able to narrow the detection motion of the Yolov5 software to only track down the player's movements?
Damamli Dorsey
26:41
Very interesting research. Can pose estimation be used to understand more about where on the court a player performs at their best?
Jonathan Adams
26:43
There is another AI program to track the ball and players motions on the field real time
Samantha Vaillancourt
26:52
could you use this system to monitor other things like friction on an object?
Abigail Kothera
27:13
Could you use the model to help prevent players injury's that result from poor form?
Jonathan Adams
27:20
WIth training YOLO would work
Mattan Pelah
27:21
How clean or set up do the videos need to be for the pose estimators to effectively analyze the movement of the players in them?
Jonathan Adams
27:42
Mattan - from what I have seen no preprocessing required
Samantha Vaillancourt
27:53
thank you
Erin Murphy
29:46
When using YOLO to detect the ball we were using a pre-trained version of the model (since the focus was less on training and more on application). While it would likely take thousands of training images, it is very possible to train a model that can detect volleyballs in the air.
Jenna Johnson
29:58
The ball movement tracking was used with YOLOv5—a lot of the variables that impacted the tracking success was based on the color variations of the balls and backgrounds. When we obtained our practice footage, it was off a general camcorder, so no, we did not have a high-speed camera
Erin Murphy
31:36
Pose Estimation wouldn't be valuable unless you were looking at friction created by a person's movements, but you could definitely use YOLO (or another object detection/tracking model) to track an object's movement and speed. Possibly infrared footage could also show friction effects.
Jenna Johnson
32:02
Pose estimation can absolutely be used to determine where an athlete performs best. The horizontal and vertical coordinate changes can be associated with a specific region of the frame, which would allow us to isolate and identify the successes
Erin Murphy
33:34
We would love to ultimately use this in injury prevention. While the best form can vary between athletes, we are looking into methods of evaluation that can show differences in form.
Erin Murphy
33:48
I think that about answers all of the questions I see, thank you everyone!
Jenna Johnson
34:43
Ideally with pose estimation, the focus would become that the computer can produce quantitative data for a player’s form. In a volleyball example, the “spike” or “hit” can put a lot of stress on the shoulder. Being able to relate elbow points to shoulder points to chest points would be incredibly beneficial, because it would allow us to identify where possible issues could arise.
Jenna Johnson
34:56
Thank you everyone!
Kira St. Juste
38:16
Would you be able to further explain how more blood flow relates to reduced muscle soreness
Samantha Vaillancourt
39:07
Does increased blood flow make the players not play as well while the game is happening?
John Stainbrook
39:20
Is skin blood flow the blood flow at the skin level?
Kathleen Lojko
39:21
Were only men experimented on since it is football?
Samantha Vaillancourt
40:00
Thank you
Kira St. Juste
40:00
Thank you!
Maribel Amwake
40:01
Great job!
Meredith McQuerry
40:06
Testing was only completed on the ANDI thermal manikin which is based on a 50th percentile male form. A female manikin form was just released last month in September 2021.
Cara Addeeb
40:13
Thank you ! amazing work
Diego Abad
40:22
Could the results of your research apply to other sports outside football?
Robert Laughlin
40:24
How was comfort defined in a way that allowed the sweat model to analyze it?
Isabel Maya
42:29
Yes! it could definitely be applied to other sports since other sports also could benefit from reduction in muscle soreness leading to less injuries in athletes
Kathleen Lojko
44:39
Awesome thank you!
Meredith McQuerry
45:39
ANDI utilizes a human thermal model produced by TAI Therm based on the Fiala comfort model which predicts real time physiological responses and comfort perceptions based on the metabolic work rate, ambient conditions, and clothing being worn. Comfort in this case is a subjective perception, based on the absence of a neutral feeling (too hot or too cold; too wet or too dry). It is similar to the ISO scale used to collect comfort perceptions in human wear studies.
Ariana Mendez
50:55
what spectroscopy did you use other than nmr?
Samantha Vaillancourt
51:23
Can you use this study to create electricity to power large scale objects?
Moises Medina Restrepo
52:11
What are some possible future applications for this type of molecules?
Kira St. Juste
53:29
Would the magnetic strength be minimal when you create the molecule?
Maribel Amwake
53:40
Great presentation!
Patricia Mehaffy
53:52
Thank you!
Samantha Vaillancourt
53:55
Thank you for your presentation
Lisa Spainhour
01:00:56
Great presentation! How does energy usage of this method compare to traditional methods? Is the pump the only step in the process that requires external power?
Moises Medina Restrepo
01:00:56
Great job Anne-Marie!
Derrick Woodard
01:00:58
Awesome Presentation!
Ananda
01:01:02
What inspired you to do this experiment?
Hana Grubb
01:01:03
Great job! I was curious where this Selenium is coming from?
Samantha Vaillancourt
01:01:03
Can this technology be used to eliminate things like lead in water for communities to prevent people from getting sick
Jovey Osagie
01:01:05
Go Anne-Marie!!!
Arthur Egan
01:01:11
Thank you
Sophie Pineau
01:01:16
Very interesting work from you and Dr. Tang!
Maitri Wallen
01:01:18
Amazing presentation!
Maribel Amwake
01:01:29
Fantastic research and wonderful presentation.
Allie Scheel
01:02:04
What kind of bacteria was used in the experiment? And is this method of selenium recovery significantly cheaper than others?
Jovey Osagie
01:02:05
Did your research include or look for other metals like cadmium ?
Youneng Tang
01:02:59
Great job Anne-Marie!!!
Lisa Spainhour
01:03:02
Yes, thank you!
Samantha Vaillancourt
01:03:08
Great presentation!
Kira St. Juste
01:03:17
This is amazing research!
Mattan Pelah
01:03:19
Can this process be scaled up to be used on large lakes and bodies of water?
Diego Abad
01:03:42
Would it be possible to optimize the system created in the research in the future? Also, would it be possible to use this method in environments such as lakes or rivers?
Sylvia Long
01:04:42
Thank you!
Samantha Vaillancourt
01:04:44
Thank you all!
Rachelys Jorrin
01:04:48
Thank you!
Kerri Julevich
01:04:49
Thank you!!
Robert Laughlin
01:04:49
Thank you!
Moises Medina Restrepo
01:04:51
👏👏👏
Amber Bernstein
01:04:51
Thank you!!
Willow Nixon
01:04:52
Thank you everyone! Great job!
Daniel Garcia
01:04:54
thank you
Emily Maglin
01:04:54
Thank you!
Marisa Langley
01:04:55
Thank you!
Victor Benitez
01:04:55
Thank you!
Kennesha Brown
01:04:56
Thank you!
Eva Rucinski
01:04:56
Thank you so much!
Alicia Wilson
01:04:57
thank you!!!
Arath Salazar
01:04:57
thank you!
Aaliyah Ferguson
01:04:58
Thank you
Olivia Martin
01:05:00
Thank you!
Lisa Spainhour
01:05:00
Amazing projects, everyone!
Diego Abad
01:05:02
Thank you for the presentations! They were really interesting
Derrick Woodard
01:05:02
Great job everyone!
Chris Pierre Paul
01:05:02
Thank you!
Addy Castellanos
01:05:03
Thank you!
Alyssa Lee
01:05:04
Thank you!
Ryan Merlin
01:05:05
Thank you
Dana Zisu
01:05:05
Thank you!
Sebastian Castro
01:05:07
Thank you!!!!
Allie Scheel
01:05:08
Thank you everyone!!
Bianca Hamm
01:05:11
thank you!
Maribel Amwake
01:05:19
👏🏼
Dylan Murphy
01:05:21
thank you!
Alexis Cox
01:05:22
Great job everyone!
Caleb Ellinger
01:05:23
Thank you!
Mattan Pelah
01:05:26
Thank you!
Elena Malchevskaya
01:05:29
Thank you!
Layla Feaster
01:05:38
👏
Moises Medina Restrepo
01:05:52
👏
Erin Murphy
01:05:54
Thank you Alicia!
John Stainbrook
01:06:02
👏🏻
Jenna Johnson
01:06:05
Thank you!
Shaniyah Jennings
01:06:14
Thank you!