Tag Archives: Geo-Physics Research

The role of affective computing for ensuring safety in at-risk educational environments: The development of ‘VoisJet’ and ‘VoisEye’ for forensic phonetical analysis

The role of affective computing for ensuring safety in at-risk educational environments: The development of ‘VoisJet’ and ‘VoisEye’ for forensic phonetical analysis

Jonathan Bishop and Darren Bellenger

Abtract

This paper presents an introduction to the use of affective computing in at-risk educational environments, such as those that schools located in areas where there is armed conflict and for the safeguarding of children and at-risk adults more generally. This paper has discussed the improvement of the EigenFace based facial emotion recognition by continually streamlining the facial dataset used and its application in at-risk educational environments. One of these mimics the authors’ EigenFaces library and appears to have better performance in poor lighting and poor camera situations, making it possibly better for drone use. It is therefore paramount that as the authors develop the system further that they keep each component separate, in case it is decided to utilise commercial libraries (e.g. Microsoft Project Oxford) for certain aspects. A structure such as VoisOver that allows for third party technologies to be plugged in would mean the authors’ code can remain separate from that of third party plug-ins, namely specific algorithms for identifying the core 12 emotion sets the authors have devised in contexts that might not even have been considered yet. Such algorithms could work with the system described in this paper to make its operation in at-risk educational environments even more possible.

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Citation

Jonathan Bishop and Darren Bellenger (2016). The role of affective computing for ensuring safety in at-risk educational environments: The development of ‘VoisJet’ and ‘VoisEye’ for forensic phonetical analysis. The 2016 International Conference on Computational Science and Computational Intelligence (CSCI’2016). 15-17 December 2016, Las Vegas, NV. Available online at: http://resources.crocels.com/wp-content/uploads/sites/4/affective-computing-for-ensuring-safety-in-at-risk-educational-environments.pdf

The role of affective computing for improving situation awareness in unmanned aerial vehicle operations: A US perspective

The role of affective computing for improving situation awareness in unmanned aerial vehicle operations: A US perspective

Jonathan Bishop

Abstract

Unmanned aerial vehicles (UAVs), commonly known as drones, are a robotic form of military aircraft that are operated by humans remotely. Due to lack of situation awareness, such technology has led to the deaths of civilians through the inaccurate targeting of missile or gun attacks. This chapter presents the case for how a patented invention can be used to reduce civilian casualties through attaching an affect recognition sensor to a UAV that uses a database of strategies, tactics and commands to better instruct fighter pilots on how to respond while in combat so as to avoid misinterpreting civilians as combatants. The chapter discusses how this system, called VoisJet, can reduce many of the difficulties that come about for UAV pilots, including reducing cognitive load and opportunity for missing data. The chapter concludes that using UAVs fitted with VoisJet could allow for the reduction of the size of standing armies so that defence budgets are not overstretched outside of peacetime.

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Reference

Jonathan Bishop (2015). The role of affective computing for improving situation awareness in unmanned aerial vehicle operations: A US perspective. In: Jordi Vallverdú (Ed.). Synthesizing Human Emotion in Intelligent Systems and Robotics. IGI Global, Hershey, PA. (Pages 404-414). Available online at: http://resources.crocels.com/wp-content/uploads/sites/4/the-role-of-affective-computing-for-improving-situation-awareness-in-unmanned-aerial-vehicle-operations.pdf