Multimodal Affective State Recognition in Serious Games Applications

A challenging research issue, which has recently attracted a lot of attention, is the incorporation of emotion recognition technology in serious games applications, in order to improve the quality of interaction and enhance the gaming experience. To this end, in this paper, we present an emotion recognition methodology that utilizes information extracted from multimodal fusion analysis to identify the affective state of players during gameplay scenarios. More specifically, two monomodal classifiers have been designed for extracting affective state information based on facial expression and body motion analysis. For the combination of different modalities a deep model is proposed that is able to make a decision about player’s affective state, while also being robust in the absence of one information cue. In order to evaluate the performance of our methodology, a bimodal database was created using Microsoft’s Kinect sensor, containing feature vectors extracted from users' facial expressions and body gestures. The proposed method achieved higher recognition rate in comparison with mono-modal, as well as early-fusion algorithms. Our methodology outperforms all other classifiers, achieving an overall recognition rate of 98.3%

Tools for user interaction in immersive environments

REVERIE -- REal and Virtual Engagement in Realistic Immersive Environments -- is a large scale collaborative project co-funded by the European Commission targeting novel research in the general domain of Networked Media and Search Systems. The project aims to bring about a revolution in 3D media and virtual reality by developing technologies for safe, collaborative, online environments that can enable realistic interpersonal communication and interaction in immersive environments. To date, project partners have been developing component technologies for a variety of functionalities related to the aims of REVERIE prior to integration into an end-to-end system. In this demo submission, we first introduce the project in general terms, outlining the high-level concept and vision before briefly describing the suite of demonstrations that we intend to present at MMM 2014

A network application approach towards 5G and beyond critical communications use cases.

Low latency and high bandwidth heralded with 5G networks will allow transmission of large amounts of Mission-Critical data over a short time period. 5G hence unlocks several capabilities for novel Public Protection and Disaster Relief (PPDR) applications, developed to support first responders in making faster and more accurate decisions during times of crisis. As various research initiatives are giving shape to the Network Application ecosystem as an interaction layer between vertical applications and the network control plane, in this article we explore how this concept can unlock finer network service management capabilities that can be leveraged by PPDR solution developers. In particular, we elaborate on the role of Network Applications as means for developers to assure prioritization of specific emergency flows of data, such as high-definition video transmission from PPDR field users to remote operators. To demonstrate this potential in future PPDR-over-5G services, we delve into the transfer of network-intensive PPDR solutions to the Network Application model. We then explore novelties in Network Application experimentation platforms, aiming to streamline development and deployment of such integrated systems across existing 5G infrastructures, by providing the reliability and multi-cluster environments they requireThe author(s) declare financial support was received for the research, authorship, and/or publication of this article. This project has received funding from the EU’s Horizon 2020 innovation action program under Grant agreement No 101016521 (5G-EPICENTRE)

5G-PPP Software Network Working Group:Network Applications: Opening up 5G and beyond networks 5G-PPP projects analysis

As part of the 5G-PPP Initiative, the Software Network Working Group prepared this white paper to demystify the concept of the Network Applications. In fact, the Network Application ecosystem is more than the introduction of new vertical applications that have interaction capabilities. It refers to the need for a separate middleware layer to simplify the implementation and deployment of vertical systems on a large scale. Specifically, third parties or network operators can contribute to Network Applications, depending on the level of interaction and trust. Different implementations have been conducted by the different projects considering different API types and different level of trust between the verticals and the owner of 5G platforms. In this paper, the different approaches considered by the projects are summarized. By analysing them, it appears three options of interaction between the verticals and the 5G platform owner: - aaS Model: it is the model where the vertical application consumes the Network Applications as a service. The vertical application deployed in the vertical service provider domain. It connects with the 3GPP network systems (EPS, 5GS) in one or more PLMN operator domain. - Hybrid: it is the model where the vertical instantiates a part of its Vertical App in the operator domain like the EDGE. The other part remains in the vertical domain. A similar approach has been followed in TS 23.286 related to the deployment of V2X server. - Coupled/Delegated: it is the model where the vertical delegates its app to the operator. The Network Applications will be composed and managed by the operator. This approach is the one followed in the platforms like 5G-EVE. In addition, the paper brings an analysis of the different API type deployed. It appears that the abstraction from network APIs to service APIs is necessary to hide the telco complexity making APIs easy to consume for verticals with no telco expertise and to adress data privacy requirements

Beneficial effect of the oxygen free radical scavenger amifostine (WR-2721) on spinal cord ischemia/reperfusion injury in rabbits

<p>Abstract</p> <p>Background</p> <p>Paraplegia is the most devastating complication of thoracic or thoraco-abdominal aortic surgery. During these operations, an ischemia-reperfusion process is inevitable and the produced radical oxygen species cause severe oxidative stress for the spinal cord. In this study we examined the influence of Amifostine, a triphosphate free oxygen scavenger, on oxidative stress of spinal cord ischemia-reperfusion in rabbits.</p> <p>Methods</p> <p>Eighteen male, New Zealand white rabbits were anesthetized and spinal cord ischemia was induced by temporary occlusion of the descending thoracic aorta by a coronary artery balloon catheter, advanced through the femoral artery. The animals were randomly divided in 3 groups. Group I functioned as control. In group II the descending aorta was occluded for 30 minutes and then reperfused for 75 min. In group III, 500 mg Amifostine was infused into the distal aorta during the second half-time of ischemia period. At the end of reperfusion all animals were sacrificed and spinal cord specimens were examined for superoxide radicals by an ultra sensitive fluorescent assay.</p> <p>Results</p> <p>Superoxide radical levels ranged, in group I between 1.52 and 1.76 (1.64 ± 0.10), in group II between 1.96 and 2.50 (2.10 ± 0.23), and in group III (amifostine) between 1.21 and 1.60 (1.40 ± 0.19) (p = 0.00), showing a decrease of 43% in the Group of Amifostine. A lipid peroxidation marker measurement ranged, in group I between 0.278 and 0.305 (0.296 ± 0.013), in group II between 0.427 and 0.497 (0.463 ± 0.025), and in group III (amifostine) between 0.343 and 0.357 (0.350 ± 0.007) (p < 0.00), showing a decrease of 38% after Amifostine administration.</p> <p>Conclusion</p> <p>By direct and indirect methods of measuring the oxidative stress of spinal cord after ischemia/reperfusion, it is suggested that intra-aortic Amifostine infusion during spinal cord ischemia phase, significantly attenuated the spinal cord oxidative injury in rabbits.</p

A network application approach towards 5G and beyond critical communications use cases

Low latency and high bandwidth heralded with 5G networks will allow transmission of large amounts of Mission-Critical data over a short time period. 5G hence unlocks several capabilities for novel Public Protection and Disaster Relief (PPDR) applications, developed to support first responders in making faster and more accurate decisions during times of crisis. As various research initiatives are giving shape to the Network Application ecosystem as an interaction layer between vertical applications and the network control plane, in this article we explore how this concept can unlock finer network service management capabilities that can be leveraged by PPDR solution developers. In particular, we elaborate on the role of Network Applications as means for developers to assure prioritization of specific emergency flows of data, such as high-definition video transmission from PPDR field users to remote operators. To demonstrate this potential in future PPDR-over-5G services, we delve into the transfer of network-intensive PPDR solutions to the Network Application model. We then explore novelties in Network Application experimentation platforms, aiming to streamline development and deployment of such integrated systems across existing 5G infrastructures, by providing the reliability and multi-cluster environments they require

Offline and Online Adaptation in Prosocial Games

Personalization and maintenance of high levels of engagement still remain two of the main challenges in the design of serious games. Towards this end, in this paper we propose a novel adaptation approach for both online and offline adaptation in prosocial games. In this paper, we describe the implementation of an artificial intelligence driven adaptation manager, whose purpose is to direct players towards game content the players are most likely to enjoy (measured in their engagement responses). As a consequence, we demonstrate how the adaptation manager can be used to increase the chances of players attaining the game’s specific prosocial learning objectives.. Each mechanism (offline and online) processes different information about the player and concerns different types of factors affecting engagement and prosocial behavior. More specifically, the online mechanism maintains a player engagement profile for game elements related to the provision of Corrective Feedback and Positive Reinforcement, in order to adapt existing game content in real time. On the other hand, off-line adaptation matches players to game scenarios according to the players’ prosocial ability and the game scenarios’ ranking. The efficiency of the proposed adaptation manger as a tool for enhancing students’ prosocial skills development is demonstrated through a small scale experiment, under real-conditions in a school environment, using the prosocial game of Path of Trust

User Evaluation of Industry 4.0 Concepts for Worker Engagement

Industry is undergoing a digital transition that will change the design and setup of human-machine systems. One part of this change is increasing possibilities of workers to influence their work. In this paper, we present four components of the Factory2Fit project that contribute to this change by engaging workers: (1) knowledge sharing and collaboration via a discussion platform; (2) visualisation of information via augmented reality (AR) glasses; (3) participatory design of workplaces and tasks by means of a 3D simulation software programme, and (4) an on-site training tool utilising a training platform. The demonstrators were evaluated with workers to identify foreseen benefits, challenges and impact on their work. Most of the concepts seem to be well accepted and they have high potential to improve work well-being and work performance. The results of this study are encouraging, but long-term field studies with actual prototypes will be needed to evolve the concepts