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Physiological monitoring to determine levels of stress

 

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iPhysio now Live

Published on May , 2012

 

iPhysio, our new and ground breaking software for the physiological monitoring of human activities, was recently launched at Counter Terror Expo.  It has been devel [...]

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Recent blog posts

Counter Terror Expo 2012 - Visit us on Stand E110

Published on Apr , 2012

We will be exhibiting our Intelligence Capabilities using Authority Miner, demonstrating our Stress in the Workplace solutions [...]

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Newsletter no.11 - A E Solutions (BI) Ltd Exhibiting & Presenting at Counter Terror Expo 2012

Published on Mar , 2012

A E Solutions Exhibiting at Counter Terror Expo 2012

We will be exhibiting our Intelligence Capabilities using Authority Miner®, our intelligence workbench tool with [...]

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Physiological Monitoring - smart solutions for duty of care | Contingency Today

Published on Mar , 2012

Physiological monitoring solutions are successfully used by UK police forces' traffic motorcyclist units, fire fighters as well as crime scene investigators and fingerprint bureau experts.

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New and launching products | CT Expo What's New magazine

Published on Mar , 2012

A E Solutions will be launching iPhysio at the show, which is multiple person physiological monitoring software that will be demonstrated together with automated analys [...]

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1. ADDERLEY, R., MUSGROVE, P. B., (1999), Data mining at the West Midlands Police: A study of bogus official burglaries. BCS Special Group Expert Systems, ES99, London, Springer-Verlag, pp 191-203.

2. ADDERLEY, R., MUSGROVE, P. B., (2001), General review of police crime recording and investigation systems. A user's view. Policing: An International Journal of Police Strategies and Management, 24(1) pp 110-114.

3. ADDERLEY, R. & MUSGROVE, P.B. (2001), Data mining case study: Modelling the behaviour of offenders who commit serious sexual assaults, ACM Special Interest Group on Knowledge Discovery and Data Mining (2001) Proceedings: seventh ACM SIGKDD international conference on knowledge discovery and data mining, 2001, August 26-29 2000, (San Francisco). Association for Computing Machinery Inc. pp 215-220.

4. ADDERLEY, R. & MUSGROVE, P.B. (2003), Modus operandi modelling of group offending: a data mining case study, The International Journal of Police Science and Management 5(4) pp267-276.

5. ADDERLEY, R. (2003), The use of data mining techniques in active crime fighting, International conference on computer, communication and control technologies and the 9th international conference on information systems analysis and synthesis, 2003, 31 July – 3 August 2003. (Orlando): CCCT. pp356-361.

6. ADDERLEY, R (2005), The use of data mining techniques in operational crime fighting in ZURADA, J., KANTARDZIC, M., (eds) New Generations of Data Mining Applications. pp 525-543, Wiley & Sons, New Jersey

7. ADDERLEY, R., (2004), Using data mining techniques to solve crime, 2nd Symposium on Intelligence and Security Informatics, 2004, 10-11 June. (Tucson) JCDL 2004. pp 418-425.

8. ADDERLEY, R., BOND, J., TOWNSLEY, M. (2006), The use of data mining techniques to model crime scene investigator performance, Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI-2006, 11-13 December 2006 (Cambridge), London, Springer-Verlag, pp 19-32.

9. ADDERLEY, R., BOND, J., TOWNSLEY, M. (2006), The use of data mining techniques to model crime scene investigator performance, Knowledge Based Systems 20(2) pp 170-176.

10. ADDERLEY, R., BOND, J., TOWNSLEY, M. (2006), Predicting Crime Scene Attendance, The International Journal of Police Science and Management V9(4) pp 312-323.

11. GROVER, V., ADDERLEY, R., BRAMER, M. (2006), Review of crime prediction techniques. Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI-2006, London, Springer-Verlag, pp 233-237.

12. ADDERLEY, R., BOND, J. (2008), The Effects of Deprivation on the Time Spent Examining Crime Scenes and the Recovery of DNA and Fingerprints, Journal of Forensic Science 53(1) pp 178-182.

13. ADDERLEY, R., BOND, J., (2007), Police Forensic science performance indicators - a new approach to data validation Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI-2007, London, Springer-Verlag, pp 163-174.

14. ADDERLEY, R., BOND, J., (2007), Predicting Crime Scene Attendance. Policing; An International Journal of Police Strategies & Management 7(42) pp 292-305.

15. ADDERLEY, R., BADII, A., WU, C., (2008), The Automatic Identification and Prioritisation of Criminal Networks from Police Crime Data Proceedings EuroISI 2008, European Conference on Intelligence and Security Informatics London, Springer-Verlag, pp 5-14.

16. T. Winkler, T. Kostoulas, R. Adderley, C. Bonkowski, T. Ganchev, J. Kohler, N. Fakotakis, (2008). "The MoveOn Motorcycle Speech Corpus", in Proc. of the LREC'2008, Marrakech, Morocco.

17. Adderley, Richard; Smith, Michelle (2010). "Position Paper: Assessing Stress in Operational Police Officers". IPES/DCAF Working Paper Series, No 22 (July).

18. Adderley, R., Smith, M. (2010). Position paper: Assessing stress in immersive training environments. 6th Nordic Conference on human-computer interaction, workshop. Reykjavik, Iceland. 16-20 October 2010.

19. Adderley, R., Badii, A., Chojnacki, S. (2010). Investigating distraction burglary offences by the use of text mining. Submitted to: The International Journal of Police Science and Management.

20. M. Baumer, P. Seidler, R. Torkar, P. Tomaszewski, L.-O. Damm and R. Feldt. "Predicting fault inflow in highly iterative software development processes: An industrial evaluation," In Proceedings of the 19th International Symposium on Software Reliability Engineering (ISSRE 2008), Seattle, USA, 2008.

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