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Student placement, Internship

Sensor testing for myocontrol of a prosthetic hand

Starting date

15 August 2018

Duration of contract

3-4 months

Type of employment

Full-time (part-time possible)

"Cutting-edge research requires excellent minds – particularly more females – at all levels. Launch your mission with us and send in your application now!" Prof. Pascale Ehrenfreund - Chair of the DLR Executive Board

Your mission:

At the Institute of Robotics and Mechatronics of the DLR, namely within the Adaptive Biointerfaces Group (http://www.dlr.de/rm/en/desktopdefault.aspx/tabid-3793), our research topics include the detection of human motion intention from diverse biosignals from the muscles, such as: electromyography, force myography, tactile myography.

In the framework of rehabilitation and pain therapy (http://www.dlr.de/rm/en/desktopdefault.aspx/tabid-3817/6237_read-9003), we aim to detect this intent from a trans-radial amputee, that is, we want to reconstruct the intended configuration of the missing hand and wrist, and we have information of the stump only at our disposal. By blending these advanced sensors, material science, machine learning and a fully integrated training process, we want to give them back a maximum of functionality, i.e. a maximum number of DOFs with proportional force control as well as precision: https://www.youtube.com/watch?v=y6uI5FLB9Q4 (https://www.youtube.com/watch?v=y6uI5FLB9Q4).

Our setup already includes the machine learning and sensor drivers, your task will be to test different sensors (pressure based), imagine a way to integrate them in a bracelet in order to get the best signal possible and to optimize their processing, eventually mixing them to get better results.

Work Breakdown

  • getting familiar with the existing hardware and software (our prosthetic software, bio-signals input devices, the different sensors)
  • eventually suggest a design of a bracelet/ sensor housing in order to improve the performance of the sensors and 3D print it
  • try different processing techniques on the sensor data
  • online analysis with an experiment

Your qualifications:

  • good skills in programming (C#, C)
  • good knowledge of signal and image processing would be a big plus
  • ideally, knowledge of CAD design tools (Creo / Solidworks / etc.)
  • autonomy and inventivity

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy puts great value on a healthy work-life balance as well as equal opportunities for men and women. Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

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Technical contact

Mathilde Connan
Institute of Robotics und Mechatronics

Phone: +49 8153 28-1115

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Vacancy 23070

HR department Oberpfaffenhofen

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DLR site Oberpfaffenhofen

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DLR-Institute of Robotics and Mechatronics

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