A Preliminary Review of Behavioural Biometrics for Health Monitoring in the Elderly

Jordi Solé-Casals, Mihaela Vancea, Jaume Miquel March

Abstract

This article explores the potential of ICT-based biometrics for monitoring the health status of the elderly people. It departs from specific ageing and biometric traits to then focus on behavioural biometric traits like handwriting, speech and gait to finally explore their practical application in health monitoring of elderly.

References

  1. Abdelkader, C. B., Ross Cutler, Larry Davis. Viewinvariant Estimation of Height and Stride for Gait Recognition. Biometric Authentication. Lecture Notes in Computer Science Volume 2359, 2002, pp 155-167 Date: 28 May 2002.
  2. Asicioglu, F., N. Turan. Handwriting changes under the effect of alcohol, Forensic Sci.Int. 132 (2003) 201- 210.
  3. Barth J., Klucken J., Kugler P., Kammerer T., Steidl R., Winkler J, Hornegger J, Eskofier B. Biometric and mobile gait analysis for early diagnosis and therapy monitoring in Parkinson's disease. Conf Proc IEEE Eng Med Biol Soc. 2011; 2011:868-71. doi: 10.1109/IEMBS.2011.6090226.
  4. Broderick, M., A. Van Gemmert, H. Shill, G. Stelmach. Hypometria and bradykinesia during drawing movements in individuals with Parkinson's disease Exp. Brain Res., 197 (3) (2009), pp. 223-233.
  5. Clarke, R. Human identification in information systems: Management challenges and public information issues. Available in http://www.anu.edu.au/people/ Roger.Clarke/ DV/HumanID.html, Dec. 1994 - Accessed 22/10/2014.
  6. Caples, S. M., A. S. Gami, V. K. Somers Obstructive sleep apnea. Ann. Intern. Med., 142 (3) (2005), pp. 187- 197.
  7. Drotár, Peter, Jirí Mekyska, Irena Rektorová, Lucia Masarová, Zdenek Smékal, Marcos Faundez-Zanuy. Analysis of in-air movement in handwriting: A novel marker for Parkinson's disease. Comput Methods Programs Biomed. 2014 Sep 17. pii: S0169- 2607(14)00320-4. doi: 10.1016/j.cmpb.2014.08.007.
  8. Eurostat (2012) Statistics Explained Archive, Vol. 2 Social Statistics (http://epp.eurostat.ec.europa.eu/ cache/ITY_OFFPUB/KS-FM-13-002/EN/KS-FM-13- 002-EN.PDF/) - Accessed 22/10/2014.
  9. El Sayed M., Alsebai A., Salaheldin A., El Gayar N., ElHelw M. Ambient and wearable sensing for gait classification in pervasive healthcare environments. Proceedings of the 12th IEEE International Conference on e-Health Networking Applications and Services (Healthcom); Lyon, France. 1-3 July 2010; pp. 240-245.
  10. Faundez-Zanuy, M., E. Sesa-Nogueras, J. Roure-Alcobé, J. Garré-Olmo, K. Lopez-de-Ipiña, J. Solé-Casals, “Online Drawings for Dementia Diagnose: In-Air and Pressure Information Analysis”, XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 IFMBE Proceedings Volume 41, 2014, pp 567-570.
  11. Foley, R. G., A Lamar Miller. The effects of marijuana and alcohol usage on handwriting, Forensic Sci.Int. 14 (1979) 159-164.
  12. Forbes, K. E., M. F. Shanks, A Venneri. The evolution of dysgraphia in Alzheimer's disease, Brain Res.Bull. 63 (2004) 19-24.
  13. Kushida, C. A., M. R. Littner, T. Morgenthaler, C. A. Alessi, D. Bailey, J. Coleman, L. Friedman, M. Hirshkowitz, S. Kapen, M. Kramer, T. Lee-Chiong, D.L. Loube, J. Owens, J.P. Pancer, M. Wise. Practice parameters for the indications for polysomnography and related procedures: an update for 2005.
  14. López-de-Ipiña, K., J. B. Alonso, C. M. Travieso, J. Solé- Casals, H. Egiraun, A. Ezeiza, N.Barroso, M. Faundez-Zanuy, M. Ecay-Torres, P. Martinez-Lage, U. Martinez-de-Lizardui, “On the selection of noninvasive methods based on speech analysis oriented to automatic Alzheimer Disease diagnosis”, Sensors, vol. 5, pp. 6730-6745, 2013. DOI: 10.3390/s130506730.
  15. López-de-Ipiña, K., J. B. Alonso, J. Solé-Casals, N. Barroso, P. Henriquez, M. Faundez-Zanuy, C. M. Travieso, M. Ecay-Torres, P. Martínez-Lage, H. Eguiraun, “On Automatic Diagnosis of Alzheimer's Disease Based on Spontaneous Speech Analysis and Emotional Temperature”, Cognitive Computation, 2013. 10.1007/s12559-013-9229-9.
  16. López-de-Ipiña, K., J. Solé-Casals, , H. Eguiraun, J.B. Alonso, C.M. Travieso, A. Ezeiza, N. Barroso, M. Ecay-Torres, P. Martinez-Lage, B. Beitia. Feature selection for spontaneous speech analysis to aid in Alzheimer's disease diagnosis: A fractal dimension approach. Computer Speech & Language Available online 27 August 2014. DOI: 10.1016/ j.csl.2014.08.002.
  17. Mortaza N1, Abu Osman NA, Mehdikhani M. Are the spatio-temporal parameters of gait capable of distinguishing a faller from a non-faller elderly? Eur J Phys Rehabil Med. 2014 Apr 24.
  18. Neils-Strunjas, J., K Groves-Wright, P Mashima, S Harnish. Dysgraphia in Alzheimer's disease: a review for clinical and research purposes, J.Speech Lang.Hear.Res. 49 (2006) 1313-1330.
  19. Patel, Shyamal, Hyung Park, Paolo Bonato, Leighton Chan and Mary Rodgers. A review of wearable sensors and systems with application in rehabilitation Journal of NeuroEngineering and Rehabilitation 2012, 9:21 doi:10.1186/1743-0003-9-21.
  20. Phillips, J. G., RP Ogeil, F Müller. Alcohol consumption and handwriting: A kinematic analysis, Human Movement Science. 28 (2009) 619-632.
  21. Rosenblum, S., S Parush, P Weiss. The in Air Phenomenon: Temporal and Spatial Correlates of the Handwriting Process, Perceptual & Motor Skills. 96 (2003) 933.
  22. Sasse, M. Angela, and Kat Krol. "Usable biometrics for an ageing population." (2013): 303-320.
  23. Solé-Casals, J., C. Munteanu, O.Capdevila Martín, F. Barbé, C. Queipo, J.Amilibia, J. Durán-Cantolla. Detection of severe obstructive sleep apnea through voice analysis. Applied Soft Computing, Volume 23, October 2014, Pages 346-354 DOI: 10.1016/j.asoc.2014.06.017.
  24. Stone E., Skubic M., Rantz M., Abbott C., Miller S. Average in-home gait speed: Investigation of a new metric for mobility and fall risk assessment of elders. Gait & Posture. 2014 Sep 6. DOI: 10.1016/ j.gaitpost.2014.08.019.
  25. Tao, W., Tao Liu, Rencheng Zheng,Hutian Feng. Gait Analysis Using Wearable Sensors. Sensors (Basel). 2012; 12(2): 2255-2283. doi: 10.3390/s120202255.
  26. Tucha, O., S Walitza, L Mecklinger, D Stasik, T Sontag, KW Lange. The effect of caffeine on handwriting movements in skilled writers, Human Movement Science. 25 (2006) 523-535.
  27. Tucha, O., L. Mecklinger, J. Thome, A. Reiter, G.L. Alders, H. Sartor, M. Naumann, K.W. Lange Kinematic analysis of dopaminergic effects on skilled handwriting movements in Parkinson's disease J. Neural Transm., 113 (5) (2006), pp. 609-623 http://dx.doi.org/10.1007/s00702-005-0346-9.
  28. Turcot K, Aissaoui R, Boivin K, Pelletier M, Hagemeister N, de Guise J. A. New accelerometric method to discriminate between asymptomatic subjects and patients with medial knee osteoarthritis during 3-d gait. IEEE Trans Biomed Eng. 2008 Apr; 55(4):1415- 22.
  29. Verghese J., Lipton R. B., Hall C. B., Kuslansky G., Katz M. J., Buschke H. Abnormality of gait as a predictor of non-Alzheimer's dementia. N Engl J Med. 2002 Nov 28; 347(22):1761-8.
  30. Werner, P., S. Rosenblum, G Bar-On, J. Heinik, A. Korczyn. Handwriting process variables discriminating mild Alzheimer's disease and mild cognitive impairment, J.Gerontol.B Psychol.Sci.Soc.Sci. 61 (2006) p228-36.
  31. Zanuy, M. F. and M. Chetouani, “Nonlinear predictive models: overview and possibilities in speaker recognition,” Workshop on Nonlinear Speech Processing, Springer, 2005, pp. 170-189.
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Paper Citation


in Harvard Style

Solé-Casals J., Vancea M. and Miquel March J. (2015). A Preliminary Review of Behavioural Biometrics for Health Monitoring in the Elderly . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MPBS, (BIOSTEC 2015) ISBN 978-989-758-069-7, pages 365-371. DOI: 10.5220/0005321603650371


in Bibtex Style

@conference{mpbs15,
author={Jordi Solé-Casals and Mihaela Vancea and Jaume Miquel March},
title={A Preliminary Review of Behavioural Biometrics for Health Monitoring in the Elderly},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MPBS, (BIOSTEC 2015)},
year={2015},
pages={365-371},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005321603650371},
isbn={978-989-758-069-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MPBS, (BIOSTEC 2015)
TI - A Preliminary Review of Behavioural Biometrics for Health Monitoring in the Elderly
SN - 978-989-758-069-7
AU - Solé-Casals J.
AU - Vancea M.
AU - Miquel March J.
PY - 2015
SP - 365
EP - 371
DO - 10.5220/0005321603650371