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Detection of aberrant behaviour in home environments from video sequence

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Abstract

We introduce an application for the detection of aberrant behaviour within home based environments, with a focus on repetitive actions, which may be present in instance of persons suffering from dementia. Video based analysis has been used to detect the motion of a person within a given scene in addition to tracking them over the time. Detection of repetitive actions has been based on the analysis of a person’s trajectory using the principles of signal correlation. Along with the ability to detect repetitive motion the developed approach also has the ability to measure the amount of activity/inactivity within the scene during a given period of time. Our results showed that the developed approach had the ability to detect all patterns in the data set examined with an average accuracy of 96.67%. This work has therefore validated the proposed concept of video based analysis for the detection of repetitive activities.

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References

  1. Cook DJ, Das SK (2007) How smart are our environments? An updated look at the state of the art. Pervasive Mob Comput 3(2):53–73

    Article  Google Scholar 

  2. Rantz MJ, Skubic M, Miller SJ, Krampe J (2008) Using technology to enhance aging in place. In: Proceedings of the 6th international conference on smart homes and health telematics, pp 169–176

  3. Nugent CD, Moelaert F, Davies R, Donnelly M, Savenstedt S, Meiland F, Droes R-M, Hettinga M, Craig D, Mulvenna M, Bengstsson JE (2008) Evaluation of mobile and home based cognitive prosthetics. In: Proceedings of the 6th international conference on smart homes and health telematics, pp 18–25

  4. Craig D, Mirakhur A, Hart DJ, McIlroy SP, Passmore AP (2005) Cross-sectional study of neuropsychiatric symptoms in 435 patients with Alzheimer disease. Am J Geriatr Psychiatry 13(6):460–468

    Google Scholar 

  5. Cullen B, Coen RF, Lynch CA, Cunningham CJ, Coakley D, Robertson IH, Lawlor BA (2005) Repetitive behaviour in Alzheimers disease: description, correlates and functions. Int J Geriatr Psychiatry 20:686–693

    Article  Google Scholar 

  6. Alzheimer’s Society (2008) Unusual behaviour. http://alzheimers.org.uk/factsheet/525

  7. Alzheimer’s Association (2009) 2009 Alzheimer’s disease facts and figures. Alzheimers Dement 5:234–270

    Article  Google Scholar 

  8. Wimoa A, Winblada B, Jönssonb L (2007) An estimate of the total worldwide societal costs of dementia in 2005. Alzheimers Dement 3(2):81–91

    Article  Google Scholar 

  9. Zuidema SU, Derksen E, Verhey FRJ, Koopmans RTCM (2007) Prevalence of neuropsychiatric symptoms in a large sample of Dutch nursing home patients with dementia. Int J Geriatr Psychiatry 22(7):632–638

    Article  Google Scholar 

  10. Lauriks S, Reinersmann A, Vanderroest H, Meiland F, Davies R, Moelaert F, Mulvenna M, Nugent C, Droes R (2007) Review of ict-based services for identified unmet needs in people with dementia. Ageing Research Reviews 6(3):223–246

    Article  Google Scholar 

  11. Nugent CD, Finlay DD, Davies R, Mulvenna MD, Wallace J, Paggetti C, Tamburini E (2007) The next generation of mobile medication management solutions. IJEH 3(1):7–31

    Article  Google Scholar 

  12. Robinson L, Hutchings D, Corner L, Beyer F, Dickinson H, Vanoli A, Finch T, Hughes J, Ballard C, May C, Bond J (2006) A systematic literature review of the effectiveness of non-pharmacological interventions to prevent wandering in dementia and evaluation of the ethical implications and acceptability of their use. Health Technol Assess 10(26):9–108

    Google Scholar 

  13. Miskelly F (2005) Electronic tracking of patients with dementia and wandering using mobile phone technology. Age Ageing 34(5):497–499

    Article  Google Scholar 

  14. Hoey J, von Bertoldi A, Poupart P, Mihailidis A (2007) Assisting persons with dementia during handwashing using a partially observable markov decision process. In: Proceedings of the 5th international conference on computer vision systems

  15. Zheng H, Black ND, Harris ND (2005) Position-sensing technologies for movement analysis in stroke rehabilitation. Med Biol Eng Comput 43(4):413–420

    Article  Google Scholar 

  16. Philipose M, Fishkin KP, Perkowitz M, Patterson DJ, Fox D, Kautz H, Hahnel D (2004) Inferring activities from interactions with objects. IEEE Pervasive Computing 3(4):50–57

    Article  Google Scholar 

  17. Poland MP, Gueldenring D, Nugent CD, Wang H, Chen L (2009) Spatiotemporal data acquisition modalities for smart home inhabitant movement behavioural analysis. In: Proceedings of the 7th international conference on smart homes and health telematics, pp 294–298

  18. Murakita T, Ikeda T, Ishiguro H (2004) Human tracking using floor sensors based on the markov chain monte carlo method. In: Proceedings of the 17th international conference on pattern recognition, pp 917–920

  19. Anderson D, Luke RH, Keller JM, Skubic M, Rantz M, Aud M (2009) Linguistic summarization of video for fall detection using voxel person and fuzzy logic. Comput Vis Image Underst 113:80–89

    Article  Google Scholar 

  20. Scott GJ, Keller JM, Skubic M, Luke RH III (2007) Face recognition for homeland security: a computational intelligence approach. In: Proceedings of the 18th IASTED international conference: modelling and simulation, pp 471–476

  21. Zhou Z, Chen X, Chung Y-C, He Z, Han TX, Keller JM (2008) Activity analysis, summarization, and visualization for indoor human activity monitoring. IEEE Trans Circuits Syst Video Technol 18(11):1489–1498

    Article  Google Scholar 

  22. Toyama K, Krumm J, Brumitt B, Meyers B (1999) Wallflower: principles and practice of background maintenance. In: The Proceedings of the seventh IEEE international conference on computer vision, pp 255–261

  23. McKenna SJ, Jabri S, Duric Z, Rosenfeld A, Wechsler H (2000) Tracking groups of people. Comput Vis Image Underst 80(1):45–56

    Google Scholar 

  24. Power PW, Schoonees JA (2002) Understanding background mixture models for foreground segmentation. In: Proceedings image and vision computing New Zealand, pp 267–271

  25. Bobick AF, Davis JW (2001) The recognition of human movement using temporal templates. IEEE Trans Pattern Anal Mach Intell 23(3):257–267

    Article  Google Scholar 

  26. Krumm J, Harris S, Meyers B, Brumitt B, Hale M, Shafer S (2000) Multi-camera multi-person tracking for easyliving. In: Proceedings of the international workshop on visual surveillance, pp 3–10

  27. Piccardi M (2004) Background subtraction techniques: a review. In: IEEE international conference on systems, man and cybernetics, pp 3099–3104

  28. Nugent CD, Mulvenna MD, Hong X, Devlin S (2009) Experiences in the development of a smart lab. Int J Biomed Eng Technol 2(3):319–331

    Article  Google Scholar 

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Authors and Affiliations

  1. Czech Technical University in Prague, Prague, Czech Republic

    Zdenka Uhríková & Václav Hlaváč

  2. School of Computing and Mathematics, University of Ulster, Jordanstown, Northern Ireland, UK

    Chris D. Nugent

  3. Belfast City Hospital, Queen’s University of Belfast, Belfast, Northern Ireland, UK

    David Craig

Authors
  1. Zdenka Uhríková
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  2. Chris D. Nugent
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  3. David Craig
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  4. Václav Hlaváč
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Corresponding author

Correspondence to Zdenka Uhríková.

Additional information

This work was supported by European Commission Project MEST-CT-2005-021024 and by Czech Ministry of Education project 1M0567.

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Uhríková, Z., Nugent, C.D., Craig, D. et al. Detection of aberrant behaviour in home environments from video sequence. Ann. Telecommun. 65, 571–581 (2010). https://doi.org/10.1007/s12243-010-0179-x

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  • DOI: https://doi.org/10.1007/s12243-010-0179-x

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