Jorian Bos posted this:
Other at EIT Digital
Universitat Politècnica de Catalunya - UPC posted this:Motion Planning Procedure for the Virtual BronchoscopyA virtual bronchoscopy system that allows the navigation within the model of the lungs is been protected by Universitat Politecncica de Catalunya (UPC) and Bellvitge Biomedical Research Institute (IDIBELL). Partners to further develop the system and/or to establish commercial agreements along with technical cooperation are sought.
Daniel M. Vasconcelos posted this:
Intellectual Property Manager at INESC TEC
Universidad de Alcalá-OTRI posted this:Location system and navigation assistance for blind people, using artificial vision.Robesafe group from Alcalá University is developing an assistance navigation system for blind people to guide them in structured indoor environments (such as corridors, distributors, rooms ...) and outdoor environments as well, using the merger between a GPS sensor and artificial vision. The system will show the path to follow to get to a destination, using acoustic information obtained by a synthesizer voice, similar to how the current GPS navigators do it. The group is interested in reaching commercial agreements with technical assistance with companies dedicated to the designing of mobility assistance systems for blind people.
Research & Technology Organization
TicSalut Foundation posted this:Innovative ICT Virtual Reality tool for the personalized rehabilitation of motor deficits of the upper extremities after a brain lesion due to Stroke (Ictus)RGS is based on leading edge virtual reality and neurorehabilitation research, and clinical trials on more than 100 patients have shown significant improvements in the rehabilitation of deficits of the upper extremities. RGS is a generic paradigm for brain repair and neurorehabilitation that we will be applied in the future to a range of other deficits in stroke, for instance gait training, aphasia, depression and chronic pain and to other neuropathologies, for instance cerebral palsy and Traumatic Brain Injury (TBI). Technology Innovation: RGS is based on the integration of a wide range of highly innovative ICT technologies, such as Virtual Reality, learning and adaptive systems, image and scene analysis, wireless technologies, multimodal interfaces, simulation tools, sensors, tele-health and information systems. Despite this major integration effort combined with solid science and medical research it is nearly invisible for the End User, unobtrusive and low power consuming (home PC based). The RGS will contribute to directly improve the Quality of Life of the increasing number of patients in need of rehabilitation for motor deficits and will improve accessibility to healthcare therapy/home assistance and to a novel and highly innovative ICT based product. We are now listing the most important aspects: •Personalized Therapy. The RGS system can be personalized to the needs of every patient due to the self-learning and adaptive systems specifically developed, that automatically adapt the difficulty of the games to the performance of the patient in order to avoid frustration. Furthermore, with the aim of incentivising the patient the RGS system amplifies the movement of the impaired arm by successfully completing simple tasks in the virtual world in line with the movement made by the patient • Accessibility and Usability. The RGS is designed thinking about the patient and clinician needs. The system can run on a standard PC which will need only a normal internet connection. Additionally, the low cost of the system renders it an affordable solution for the target population of end users and healthcare agents. The final RGS is unobtrusive; its User interface also allows remote monitoring by the healthcare provider. The RGS incorporates learning and adaptive systems that will allow the system to automatically change the rehabilitation scenario based on the results of the previous exercises performed by the patient and be further supervised by the health care. •Tele-rehabilitation and increase of autonomy for everyone. The RGS will allow patients to design their own rehabilitation schedule and work at home, in coordination with everyday life activities and in consultation with their therapists, who will be able to individualize their therapy and follow their progress remotely (accuracy, speed, movement patterns…) and ensure the quality of the therapy. •Efficiency and more equal access to services. The self-managed RGS “home tele-assistance” will facilitate access to rehabilitation training at home to patients that may not have access to it or who may have had a restricted access due to the great demand from the elderly population and limitations from the healthcare systems; it will also avoid or minimize the cost and loss of time in transportation for both patients and clinicians to and from the hospital/rehabilitation centre designated by the health system or a private insurance company. (1~2 hours per day just in the ambulance).
Universidad de Alcalá-OTRI posted this:Face tracking and pose estimation with automatic 3D model construction.For the first time, this system of computer vision is able of recognizing the orientation of the human face, with no need of previous identification of the person or offline training. This system is innovative in the way of joining the three algorithms that uses for its functioning: SMAT, RANSAC and POSIT. To the best of our knowledge they had never been used before in that way.