Category: PFC

RSS de PFC 

Sorry, this entry is only available in European Spanish.

10 February 2015

PFC

They offer a final project to develop a touch system (based on Apple’s trackpad) as an input interface to a robotic system for surgery. The PFC is to develop a library of multitouch gestures intended to use the Apple touch device in surgical applications. For more information contact Jose M. Sabater (j.sabater @ umh.es).

23 March 2012

PFC

Are offered two final projects to develop an optical tracking system to record surgical operations. The system used is the OptiTrack V120: trio. The first PFC consists of implementing the system of 3D/3D registration algorithms that exist in the library ITK (www.itk.org) and implementation of a real example of surgical registry. The second PFC is the integration [...]

23 March 2012

PFC

They offer two final projects for the design, analysis and construction of a robot. During the development of PFC study will be conducted to detect the robot kinematic autocolisiones. After the design stage, the robot will be built in aluminum obtaining housing structure and external beautifying. For more information, contact Professor Carlos Pérez Vidal (carlos.perez @ umh.es).

5 December 2011

PFC

Arduino is an open computing platform based on a plate to the inputs and outputs can be connected to various sensors, LEDs, buttons and so on. PFCs are offered two for the application of this platform to control industrial systems and small robots. For more information, contact Professor Carlos Pérez Vidal (carlos.perez @ umh.es).

16 November 2011

PFC

They offer three PFC in order to perform the following research projects: – SCADA control and monitoring of a multiplace hyperbaric chamber automated by a PLC Siemens S7-300. They used open source libraries to implement OPC communication between the PLC and Linux operating systems, Mac OS and Windows. The implementation of SCADA will be done with [...]

15 November 2011

PFC

The goal of this project is to develop a brain-computer interface based on EEG signals that allows differentiating between several mental tasks. The brain activity will be registered using superficial electrodes. Processing algorithms and classifiers of the EEG signals will be developed to detect the mental tasks. More information, contact Prof. José María Azorín ().

17 October 2011