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This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
tinymlinteractivespaces
About this project
Tiny ML in interactive spaces Arduino X K-WAY Challenge Project
This machine learning model is designed to activate lights, music and smart sculptures based on movements. The system uses movement sensors to detect movements wearing a K-way jacket and then triggers the interactive installations to turn on or off accordingly.
How it works
The system is trained on a dataset of movements and corresponding light activations. It then uses this information to make predictions about whether the interactive installations should be turned on or off in real-time based on the movements it senses.
Run this model
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Dataset summary
Data collected
16m 32sSensors
accX, accY, accZ, gyrX, gyrY, gyrZ, heading, pitch, roll, rotX, rotY, rotZ, rotW @ 9HzLabels
jump, run, sideProject info
| Project ID | 177048 |
| Project version | 1 |
| License | Apache 2.0 |
| No. of views | 3,167 |
| No. of clones | 0 |
