May is that time of the year when the Master students are counting down the days to finish their theses. And after a period of hard work developing new Information and Communication solutions, this is also the moment to test their features. They know they can count on the volunteers of COLABORAR to help in that important phase.
In the scope of the Master Thesis EMGesture, we asked participants to use sensors of surface electromyography and also inertial measurement sensors attached to the arm and perform some hand, wrist and forearm gestures. At the same time, students were verifying the correct functioning and accuracy of the system by analysing the detection of arm movements and the recognition of the hand gestures.
This technology is very promising, as it can be applied not only in the context of human-computer interaction, but also in the areas of functional rehabilitation and fall prevention.
