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)
snake.8.cbor.1q53os8j
idle.5.cbor.1q53os5n
idle.15.cbor.1q53os8v
updown.13.cbor.1q53oscn
idle.9.cbor.1q53osce
updown.3.cbor.1q53os6g
wave.11.cbor.1q53os8q
wave.17.cbor.1q53osb9

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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 70,079
No. of clones 957