Full Body Acting Rehearsal in a Networked Virtual Environment-A Case Study

In order to rehearse for a play or a scene from a movie, it is generally required that the actors are physically present at the same time in the same place. In this paper we present an example and experience of a full body motion shared virtual environment (SVE) for rehearsal. The system allows actors and directors to meet in an SVE in order to rehearse scenes for a play or a movie, that is, to perform some dialogue and blocking (positions, movements, and displacements of actors in the scene) rehearsal through a full body interactive virtual reality (VR) system. The system combines immersive VR rendering techniques as well as network capabilities together with full body tracking. Two actors and a director rehearsed from separate locations. One actor and the director were in London (located in separate rooms) while the second actor was in Barcelona. The Barcelona actor used a wide field-of-view head-tracked head-mounted display, and wore a body suit for real-time motion capture and display. The London actor was in a Cave system, with head and partial body tracking. Each actor was presented to the other as an avatar in the shared virtual environment, and the director could see the whole scenario on a desktop display, and intervene by voice commands. A video stream in a window displayed in the virtual environment also represented the director. The London participant was a professional actor, who afterward commented on the utility of the system for acting rehearsal. It was concluded that full body tracking and corresponding real-time display of all the actors' movements would be a critical requirement, and that blocking was possible down to the level of detail of gestures. Details of the implementation, actors, and director experiences are provided

Co-Occurring Psychiatric and Substance Use Disorders: Clinical Survey Among a Rural Cohort of Italian Patients

Purpose: Dual diagnosis (DD) is the co-occurrence of both a mental illness and a substance use disorder (SUD). Lots of studies have analysed the integrated clinical approach, which involves both psychiatry and toxicology medical experts. The purpose of this study is to analyse the socio-demographic characteristics and treatment strategies of patients with DD in a rural area of Italy. Patients and Methods: Clinical data of 750 patients were collected in 2016 through the analysis of health plan records. Results: The rate of co-occurring disorders is highly variable among people with SUD. In the considered area, patients with DD are 24%, of these only 46.1% have been treated with an integrated clinical program. Moreover, this percentage is further reduced (35.8%) if only patients with heroin use disorder are considered. Conclusion: A comprehensive revision of DD treatment is needed, especially for people suffering from heroin use disorder and living in remote areas. Meticulous data analysis from other addiction health services of rural areas could be necessary to identify a science-based clinical intervention

Networks for Future Services in a Smart City:Lessons Learned from the Connected OFCity Challenge 2017

The drive toward ubiquitous communications has long been encompassed by the concept of a connected or smart city. The idea that data transfer and real-time data analysis can enhance the quality of life for urban inhabitants is compelling, and one can easily envision the provision of exciting new services and applications that such an information-driven city could provide. The challenge in achieving a truly smart city stems largely from communications technologies-fixed line, wireless, backhaul, and fronthaul-and how these are combined to provide fast, reliable, and secure communications coverage. Here, we report on the key observations from the Connected OFCity Challenge competition, held at OFC 2017, which addressed the fixed and wireless access network requirements for smart cities. It is shown that from a technological perspective, future optical networks will be capable of securely supporting extremely low-latency and high-bandwidth applications. However, as shown by using Networked Music Performance as a particularly challenging example application, how readily this is achieved will depend on the interplay between wired and wireless access services. © 1979-2012 IEEE

Construct and criterion validity of patient-reported outcomes (PROs) for depression: A clinimetric comparison

Background: A number of patient-reported outcomes (PROs) have been developed but insufficient attention has been devoted to the assessment of their clinimetric properties. Clinimetrics, the science of clinical measurements, has been considered an emerging approach for evaluating reliability and validity of PROs. This is the first study using clinimetric principles to compare the construct and criterion validity of the Major Depression Inventory (MDI), the Beck Depression Inventory-II (BDI-II), the World Health Organization Well-Being Index (WHO-5), three of the most widely used PROs for the assessment of depression. Methods: Construct validity was evaluated via Item Response Theory (IRT) models (i.e., combining Rasch and Mokken analyses). Using the ICD-10 diagnostic algorithm for any depression as the gold standard, Receiver Operating Characteristic (ROC) curves were performed to examine the criterion validity of PROs. Results: One hundred healthy subjects (73% females, 32.6 ± 10.5 years) participated in the study, giving a response rate of 90.1%. When using IRT analyses, MDI and WHO-5 were found to be reliable and unidimensional, while BDI-II showed lack of unidimensionality. ROC analyses supported the diagnostic accuracy of MDI and the screening properties of WHO-5. Limitations: The main limitations of the present study are that healthy subjects were assessed only via only self-reported measures and a cross-sectional design was used. Conclusions: WHO-5 and MDI outperformed BDI-II in terms of construct and criterion validity. WHO-5 should be considered when screening for depression, while MDI should be used as a valid diagnostic instrument and as a unidimensional measure to assess depression severity

Efficient Augmented Reality on Low-Power Embedded Systems

In this paper we propose a development technique for low-power devices with limited computing capacity to obtain efficient, high-performance and non-CPU-invasive Augmented Reality (AR) applications. The paper will discuss how to exploit both the available hardware and software resources. Many boards on the market are equipped with CPUs with low computing power together with GPUs for 2D/3D graphics and multimedia. The paper analyses the strengths of these architectures and how to exploit them. The Operating System (O.S.) also provides features that allow greater control over the system (e.g., avoid wasting resources) and its performance. The techniques proposed are then used, as an example, in the development of an AR application for remote assistance