Tech to Tango: Another data-informed personal dance ambition 💃

Mission accomplished?

Well, yes for the simple answer. And hopefully a bit more of an insight through this post to explain:

  • A determination to explore any impact on dance performance using data, an armoury of ‘blinged up’ tech tools and the influence of role models.
  • The eventual learning gains from stepping out of a dance comfort zone, into the unknown, to accelerate progress.
  • The 1980’s inspired gel hairstyling on the profile photo!

I took the opportunity to dance in Blackpool again earlier this year, and to qualify had to up the ante to reach a higher standard.

Hard work but also a chance to learn more through a data route and experience a new discipline along the way.

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Back to ‘core values’ to strengthen my core has become my biggest priority and that’s seen me stepping into the Thai kick-boxing arena.  Why? Because it feels like learning to dance felt right at the beginning – completely out of my comfort zone! It’s helping to build up stamina and confidence, but more than anything it’s introduced me to another world class role model, and she’s made a huge difference.

We’ve taken data from wearables and IOT projects to allow me to measure my own progress.  That’s always been important, alongside exams and belts, and I should add that I was always insistent about about the focus being on fitness and not contact.  In the past we’ve looked at sleep data in parallel to activity, and now recovery has a greater significance than physical exertion.

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Of course the data trail still includes a dance programme, although that took a tricky spin turn in the Spring when Things Hull  became connected in a somewhat accidental way.  I hadn’t intended to publish openly, but GPS gave too many clues to unusual logging of one of our data sets and questions were asked!

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Next steps see me taking a break between work projects to concentrate on dance, and that’s got tango written all over it.

From that, data will lead me to a next challenge and a September launch.  More to follow then 😀

Solving real life problems with Flotilla: Successful pairing of clean socks from the laundry basket

Our Flotilla kit from Pimoroni arrives and the first project is 4-fold:

  1. Check out ‘intuitiveness’ in the usual household fashion of what’s possible in 10 minutes without reading the instructions.
  2. Explore how we can expand IOT possibilities with Raspberry Pi and learn more about inputs/outputs with these new sensors.
  3. Have fun and a bit of mischief (that’ll be me reassigning chores and trying to make them exciting).
  4. Seeing an end to the realisation during work meetings that you’ve put on odd socks in the dark winter mornings.

Set up stage 1: A quick sudo aptget update and upgrade and we’re away:

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Set up stage 2: An even quicker reboot and we’re connecting and tinkering in Rockpool.

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Set up stage 3: A few decisions about colour sensors, RGB values and inputs/outputs. And then a quick test to get the ‘colour-o-meter’ working over random moving pets and confectionery wrappers.

 

Set up stage 4: The great sock-o-meter test (actually, the better test will be next week in brightly lit meeting rooms).

The mind wanders….

Bit of an update with another one to come mid-January:

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Update: I should’ve remembered that you can’t rush the full beauty of a Christmas amarylllis!  Here it is……..and the truth sensor worked.

PINK, definitely PINK 🙂

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