Edge Impulse Inc. / Tutorial: Continuous motion recognition Public

Tutorial: Continuous motion recognition

This is the finished Edge Impulse project for the tutorial 'Continuous motion recognition'. From here you can acquire new training data, design impulses and train models.

Accelerometer

About this project

Classify Your Gestures

Snake motion gif

Have you ever wondered how you can use acceleration to predict the type of input motion? Clone this project to build an embedded ML project to detect various hand gestures from your device's accelerometer!

You can also follow our tutorial to guide you through building your continuous motion recognition model, from data collection to deployment on embedded devices.

Sensor & Block Information

  • Accelerometer data (.cbor files) @ 62.5 Hz
  • Spectral Features DSP block for time-based sensor data
  • Neural Network Classifier with prediction outputs: "idle", "snake", "updown", "wave"
  • Anomaly Detection block for anomaly score output of unknown motions (gestures/motions the model was not trained on)
idle.8.cbor.1q53os51
updown.9.cbor.1q53os98
snake.1.cbor.1q53os84
wave.7.cbor.1q53os9v
snake.3.cbor.1q53os95
wave.11.cbor.1q53os8q
updown.10.cbor.1q53os8s
updown.16.cbor.1q53os7n

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Dataset summary

Data collected
15m 16s
Sensors
accX, accY, accZ @ 62.5Hz
Labels
idle, snake, updown, wave

Project info

Project ID 14299
Project version 14
License BSD 3-Clause Clear
No. of views 71,741
No. of clones 963