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  1. Time-series
  2. Motion and Vibration Classification

Continuous motion recognition

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Last updated 2 months ago

Task: Motion and Vibration Classification

License:

Description

  • Idle - board sits idly on your desk. There might be some movement detected, e.g. from typing while the board is present.

  • Snake - board moves over the desk as a snake.

  • Updown - board moves up and down in a continuous motion.

  • Wave - board moves left and right like you're waving to someone.

Compatible Blocks

Dataset Details

  • Total Data Items: 101

  • Labeling Method: single label

  • Train/Test Split: 84.16% / 15.84%

Training Set

Testing Set

Total Data Items

85

16

Labels

idle, snake, updown, wave

anomaly, idle, snake, updown, wave

Usage

  • Download

    • HuggingFace - Soon

    • Kaggle - Soon

  • Import this dataset to your Edge Impulse project

Citation

If you use this dataset in your research paper, please cite it using the following BibTeX:

@misc{edgeimpulse_dataset_497631,
    title = {Motion Classification - Continuous motion recognition},
    author = {Edge Impulse},
    year = {2024},
    url = {https://studio.edgeimpulse.com/public/497631/latest},
    note = {Apache 2.0}
}

This is a prebuilt dataset, collected by Edge Impulse teams, for a gesture recognition system based on continuous motion, for the . It contains 15 minutes of data sampled from a MEMS accelerometer at 62.5Hz over the following four classes:

Snake
Updown
Wave

Feature extraction: (FFTs or Wavelets)

Learning block: + optionally or

Not sure what to choose? Try out this dataset with the .

Clone the

To clone and use this project, visit the , click on the Clone button on the top-right corner and follow the cloning instructions.

This project uses the Edge Impulse Exporter Format (info.labels). See this for more info.

Edge Impulse also supports different and that you can import into your project to build your edge AI models:

Continous Motion Recognition tutorial
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