Skip to content
/ Emitts Public

An iOS app to encourage movement via hand action recognition

License

Notifications You must be signed in to change notification settings

JGL/Emitts

Repository files navigation

Emitts

This project is part of the Making Movement Irresistable project - "Making Movement Irresistible (MMI) is a research project funded by Arts Council of Wales, National Lottery Health & Wellbeing award. The overarching aim is to develop an innovative suite of digital, online and wearable accessories that encourage improvisational movement interactions with older adults in a variety of residential settings."

This repository currently contains five different Xcode projects:

  1. 01_viaKodecoExampleCode
  2. 02_viaAppleExampleCode
  3. 03_visualisingGestures
  4. 04_viaSofiaDinizFreshStart
  5. 05_manualActionSelection

01_viaKodecoExampleCode is based on the following code:

https://github.com/raywenderlich/video-vii-materials/tree/versions/1.0

Which was associated with the following article: Detect Hand & Body Poses with Vision in iOS from Kodeco.com previously known as raywenderlich.com.

The original raywenderlich.com source code was released on 2021/06/01 and is licensed as in the raywenderlichlicense in the 01_viaKodecoExampleCode folder.

02_viaAppleExampleCode is based on the code released with the WWDC 2021 session "Classify hand poses and actions with Create ML".

03_visualisingGestures was inspired by the Paul Hudson video: SwiftUI Special Effects – TimelineView, Canvas, particles, and… AirPods?!".

04_viaSofiaDinizFreshStart was based around the BabyChat released by Sofia Diniz.

05_manualActionSelection is a combination of all of the above, made before the support of Greg Chiste at Apple Developer Technical Support, who bug fixed the Hand Action recognition.

About

An iOS app to encourage movement via hand action recognition

Topics

Resources

License

Stars

Watchers

Forks

Languages