The university was founded in 1879. It has the highest proportion of foreign students out of universities in Germany, with 20.9% in the summer semester of 2007, roughly 5,598 students. The university alumni and professor list include National Academies elections, two National Medal of Science laureates and ten Nobel Prize winners.
The TU Berlin is a member of TU9, an incorporated society of the largest and most notable German institutes of technology and of the Top Industrial Managers for Europe network, which allows for student exchanges between leading European engineering schools. It also belongs to the Conference of European Schools for Advanced Engineering Education and Research. As of 2013, TU Berlin is ranked 41st (2012: 45th) in the world in the field of Engineering & Technology and 1st in Germany (46th worldwide) in Mathematics according to QS World University Rankings. The university is known for its high ranked engineering programmes, especially in mechanical engineering and engineering management.
Technical University of Berlin research articles from Innovation Toronto
Scientists working at Korea University, Korea, and TU Berlin, Germany have developed a brain-computer control interface for a lower limb exoskeleton by decoding specific signals from within the user’s brain.
Using an electroencephalogram (EEG) cap, the system allows users to move forwards, turn left and right, sit and stand simply by staring at one of five flickering light emitting diodes (LEDs).
The results are published today (Tuesday 18th August) in the Journal of Neural Engineering.
Each of the five LEDs flickers at a different frequency, and when the user focusses their attention on a specific LED this frequency is reflected within the EEG readout. This signal is identified and used to control the exoskeleton.
A key problem has been separating these precise brain signals from those associated with other brain activity, and the highly artificial signals generated by the exoskeleton.
“Exoskeletons create lots of electrical ‘noise’” explains Klaus Muller, an author on the paper. “The EEG signal gets buried under all this noise – but our system is able to separate not only the EEG signal, but the frequency of the flickering LED within this signal.”
Although the paper reports tests on healthy individuals, the system has the potential to aid sick or disabled people.
“People with amyotrophic lateral sclerosis (ALS) [motor neuron disease], or high spinal cord injuries face difficulties communicating or using their limbs” continues Muller. “Decoding what they intend from their brain signals could offer means to communicate and walk again.”
The control system could serve as a technically simple and feasible add-on to other devices, with EEG caps and hardware now emerging on the consumer market.