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sakian

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Orthodox Privilege 6 years ago

What isn't true? Do you believe that girls are equally interested in computers compared to boys at 13 years old?

Orthodox Privilege 6 years ago

Maybe I'm missing something, but I don't understand why his comments are deemed sexist. Isn't he saying that 13 year old girls aren't as interested in computers as much as 13 year old boys? What am I missing?

I guess I'll give an opposing view of LabVIEW since I've worked on and off with LabVIEW over the past 7 years. I don't think it's too different from other text-based languages where it can be turned into a huge mess if the code is not organized properly. This is probably compounded by LabVIEW being targeted towards people who don't start with software backgrounds and don't understand best practices of software design. Using design methods and frameworks like the actor framework (comes with LabVIEW) can go pretty far to develop clean code that can rival or exceed the best examples of text-based source code.

Definitely LabVIEW has it's strong areas though. Anything to do with more complex UIs is probably not something you want to use LabVIEW for. I'd probably say LabVIEW is definitely strongest when paired with National Instrument's hardware (CompactRIO) which gives you access to data faster than you can do with any other system that I've seen. It's also super easy to develop FPGA applications which is a big plus when working with high-frequency data processing.

Overall I think it fills its niche quite well and don't think it's dissimilar to any other language where you can also make a mess of things if you don't know how to best structure the code.

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I've actually thought about using those Decawave chips for tracking players in hockey. You could mine a wealth of analytics from this including who wins puck battles and face-offs, zone entries and exits, player acceleration and speed, how player dynamics change through a shift and through the game, etc.

Couple technical issues with this kind of system though, including position resolution (maybe Kalman filter with an IMU to improve?), determine players that are active on the ice as opposed to being on the bench (maybe position based), tracking all players and puck simultaneously, plus making the hardware small enough for placing it in the players clothing and in the puck.

Business problem would be in trying to get teams signed up to collect data. Getting data from one team would be good, but from both teams and the puck would be best. You almost need to get a league to agree to use the system. Then you have to deal with data ownership issues, CBA agreement, etc. Plus the whole barrier of people in hockey thinking this stuff is useless and unless you've #playedthegame you shouldn't be making the decisions.

There are a few companies doing something similar. Zebra technologies is using RF tracking in the NFL (they do warehouse tracking normally). A bunch of others try to do it through IR systems with cameras or video processing of broadcast video, but these methods have their own issues (occlusion, HW needs to be visible, etc.).

In any case, the wealth of data and statistics you could mine would be fascinating to say the least.