There are a bunch of interesting applications of sensing with machine learning, but the most interesting to me is at 20 minutes in.
I have a friend with face blindness, and it has at times led to some awkward interactions when she sees people out of context. This would really help her (once they shrink it down a bit):
Of course we’re not really focusing on machine learning applications in this class, but the idea of using sensing to address a need for accessibility, which can have additional implications for a broader audience as well.
Author: Matt Franklin
I'm a recovering engineer + sales guy...
BSEE from UMD 2004, and then 15 years of working with signal processing, AV, control systems, networking, and other gadgetry (mostly B2B). Now I'm in the Master of Human-Computer Interaction program, graduating in August 2020.
I have pretty solid experience with:
- Linux
- audio
- video
- rs232/422/485/midi/dmx protocols
- sketchup and other cad tools
- soldering
- music (mostly guitar, but others too)
- general troubleshooting
- networking (wired + wireless)
- signal processing
- streaming video/audio
- python
I have some experience with or am mediocre at:
- woodworking
- welding
- laser cutting
- sewing
- reverse engineering
- ML (none really but I'm currently in a class)
- some javascript
- rusty with C++ and Java, but used to be decent
- tube amplifiers
- RF
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