Hands gesture recognition application with GAP8

Job number: I1902

The target of this project is to explore X111 Acconeer Pulsed Coherent Radar Technology for Hands Gesture Recognition on GAP8.

Responsabilities:

  • Develop low level communication between X111 Radar and Gap8 through SPI.
  • Collect data from X111 Radar to create and hand gesture Dataset of some hand gestures(i.e. a wave, a clap, and other distinctive gestures).
  • Develop an application in Tensorflow for hands gesture recognition.
  • Port the final application on GAP8.
  • Make sure a synthetic documentation is available for further maintenance.

Required skills:

  • Embedded Software student, Bachelor/Master’s degree.
  • C/C++, Python code proficiency.
  • Experience with 32-bit microcontrollers and classical interfaces.
  • [Machine Learning and Tensorflow knowledge very welcome]

Bonus skills:

  • Machine Learning with Tensorflow
  • Strong motivation and taste for code optimization (size and speed)
Job Category: Engineering
Job Type: Internship (6 Months)
Job Location: Villard-Bonnot

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2018-12-11T18:54:05+00:00December 11th, 2018|