Privacy concerns may discourage users who would (and certainly transactions). However, attributes like length otherwise join beneficial data mining tasks for intelligence and/or of the call, age of the customer, and so on will be common. security. We propose an efficient protocol that allows parties to Similar for goverment agencies, financial institutions, and any share data in a private way with no restrictions and without .. . T loss of accuracy. Our method has the immediate application that grou of orgnistuion tha operate on a common domain. This horizontally partitioned databases can be brought together and case has been studied much less, with essentially one method made public without disclosing the source/owner of each record. introduced in 2002 [9] and slightly refined later [10]. At another level, we have an additional benefit that we canThe idea that data owners on a common domain share their apply our protocol to privately discover association rules. Our data for the common good collides with privacy rights and protocol is more efficient than previous methods. The effects of the needs for security. Privacy concerns have been influencing our protocol are less than others: 1) each party can identify only ta ners and pentin them co havin maxium
In current physical rehabilitation protocols, patients typically perform exercises without feedback or guidance following the initial demonstrations from the physiotherapist. This paper proposes a system providing continuous visual feedback and guidance to patients to improve quality of motion performance and adherence to instructions. The system consists of body-worn inertial measurement units which continuously measure the patient's pose. The measured pose is overlaid with the instructed motion on a visual display shown to the user during exercise performance. Two user studies were conducted with healthy participants to evaluate the usability of the visual guidance tool. Motion data was collected by the inertial measurement sensors and used to evaluate quality of motion, comparing user performance with and without visual feedback and with or without exercise guidance. The quantitative and qualitative results of the studies confirm that performing the exercises with the visual guidance tool promotes more consistent exercise performance and proper technique.
There has been a great deal of discussion of the challenges on privacy, data interoperability and quality of Educational Professional Personal Record (EPPR). Therefore, there is a need to reassess the current models, in which various parties generate, exchange and observe a huge amount of personal data with regard to EPPR. Ethereum blockchain has shown that trusted, auditable transactions is detectible using a decentralized network of nodes accompanied by a general ledger. Thus, due to the fast-moving development of educational and professional data generators such as online universities and distance learning, requires learners to engage in detail into their EPPR as well as the educational and professional data generators. In this paper, we propose a novel decentralized framework to manage EPPR using Ethereum blockchain technology. The framework provides the owner of the EPPR a comprehensive immutable log and ease of access to their educational records across the educational record editors and consumers. Furthermore, it provides a recommender engine to endorse skills and competencies to the education record owners and similar candidates for educational records editors and consumers. Ethereum blockchain can provide solutions in terms of exchanging of data among parties by ensuring privacy, accountability and data interoperability. The aim of the proposed framework is to enable educational stakeholders (universities and employing agencies) to participate in the network as blockchain miners rewarded by pseudonymized data in compliance with General Data Protection Rules in United Arab Emirates.
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