Intro

“The signal in the physical world is the foundation of design. We can understand how the human system works in order to design the most effective signals in a world full of distractions.”
Dano Qualls

I am Muirén, and my specific focus with 🧙🏾‍♀️SpelKast🪄, is leveraging the potential of MIDI 2.0, to enable a flexible, highly adaptive cyber-physical framework for cooperative creation, community relationship management, and seamlessly immersive experience.

Foundational specifications for MIDI 2.0 were released in February 2020, which allowed MIDI Association members, including Operating System companies, to start practical implementation of the MIDI 2.0 specification.

This participatory action communication by demonstration extension of 👩🏽‍💻TinyMaker.Space🤖, serves as the organizing, evangelizing force, and funding source for my goal of establishing a permanent home and makerspace that is self-supporting through its own efforts, primarily through sales of uniquely crafted, tangible fusions of art and tech, as well as performing arts.

Create MIDI 2.0 Apps using Windows MIDI Services and C# Code

With host Pete Brown
Principal Software Engineer of the Windows Developer Platform team at Microsoft, focusing on client-side DEV on Windows apps and technology for musicians, music app developers and music hardware developers. Pete is also the current chair of the Executive Board of the MIDI Association

The open-source Windows MIDI Services project (https://aka.ms/midi) is nearing its first consumer release, and is getting ready to be in-boxed on Windows.

< p>In this session, learn about what the new MIDI stack brings, and then learn how to use the developer preview bits available today to create MIDI 2.0 and MIDI 1.0 apps for Windows, including virtual devices, USB, and more, all using C#.

Machine Learning Basics on Raspberry Pi with MediaPipe

Understand the fundamentals of gesture recognition: Discover how computer vision is used to identify and categorize hand gestures.
Explore MediaPipe’s capabilities: Learn how this powerful library simplifies the process of building gesture recognition applications.
Create your own Raspberry Pi app: Follow a step-by-step guide to build a Python app that can recognize static hand gestures.

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