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TicSalut Foundation posted this:

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).

Yissum - Research Development Company of the Hebrew University posted this:

Cryptography, Cloud Technology OLD: Secure Search of Encrypted Cloud Data Project ID : 10-2016-4286
Improved and Secure Search Function for Encrypted Cloud Data

Yissum - Research Development Company of the Hebrew University posted this:

Cluster5 License Non Exclusively to HumanEyes Project ID : 10-2006-1016

Yissum - Research Development Company of the Hebrew University posted this:

Danny doesn't even know what this is about Project ID : 10-2008-2153
Method and System for Linear Processing of an Input Using a Gaussian Belief Propagation

Yissum - Research Development Company of the Hebrew University posted this:

* Reading texts of all sorts is an activity done by an enormous number of people, for professional, cultural and entertainment reasons. Virtually all books and magazines that people read today are identical across different readers. * I propose to print books on-demand, along with information personalized to the reader needs, using a personal reader profile built before the printing process. * A good example where this would be very useful is when the text is written in a foreign language. This happens quite often, e.g. with professional textbooks, instructional material, and novels (think how many people who are not English speakers had read Harry Potter #6 in English because they couldn't wait six months until the translation!) * In the case of reading in a foreign language, the personalized information printed could include translations of selected words (or expressions), and comments on cultural items (e.g., taken from an encyclopedia). The selections of words to translate will be based on a model of the reader's foreign language knowledge, created from a short test or from a more extensive interaction with the reader. * One possible graphical layout would have the text in the center of the page, surrounded by the glosses in an attractive way. * Word memorization hints could be added to the glosses. For example, we can use a small bar to show the pages in which a word appears, thus helping the reader decide how much effort to invest in learning that word (we could also do that for many books together, and for the word's general frequency in the language). We could point the reader to similar words in languages s/he knows. * In the case of reading in your native language, the personalized information printed could include explanations or encyclopedic/web search entries on various terms or names that appear in the text. * IP: I think that both the system and key algorithms (preparation of the graphical layout, modeling the reader's knowledge, memorization hints) are patentable. * Potential customers/partners: -- Ideal for a company such as Amazon, whose contact with its customers is already interactive and who has a database of books in electronic form (suitable for digital printing. Amazon has recently acquired a digital printing company). -- Ideal for Google, Yahoo and Microsoft, all of whom have large projects for digitizing libraries. -- Ideal for the huge academic publishers such as Elsevier, who seek high adde Project ID : 10-2006-705
Personalized, Adaptive Annotations of Texts