Capturing hand and finger movements within milliseconds is becoming increasingly important for many applications, from virtual reality to human-machine interaction and Industry 4.0. So far, it has required enormous technical effort, which in turn has limited the possible applications. Computer scientists at the Max Planck Institute for Informatics have now developed a software system that requires only the built-in camera of a laptop, due to the interaction of various neural networks. For the first time, the researchers will be presenting the program at stand G75 in hall 27 of the computer fair Cebit, which will take place in Hannover from June 11th onward.
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Running over long distances often causes knee injuries. Reasons include the powerful forces that act on the knee when the runner strikes the ground with the heel first. Using the middle or forefoot instead is not only healthier, but also ensures a more efficient running style. Scientists at the German Research Center for Artificial Intelligence (DFKI) and the Research Center for Digital Education (FoBiD) have therefore developed a wearable assistant that trains the runner to move properly. Visitors to the computer fair Cebit will be able to try it out on June 11 at booth G75 in hall 27.
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| Published in: | Proceedings of 3rd International Workshop on Semantic Matchmaking and Resource Retrieval (SMR2) |
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| Year: | 2009 |