Perception of Human Activities - A Means to Support Connectedness Between the Elderly and Their Caregivers

Kadian Davis, Evans Owusu, Carlo Regazzoni, Lucio Marcenaro, Loe Feijs, Jun Hu

Abstract

This position paper describes a smart-phone based activity recognition system for improving social connectedness between caregivers and their elderly relatives. Sensing technologies can enable real-time monitoring to provide activity recognition in order to support health and safety among the elderly who are living independently. However, most existing activity recognition systems are focused on using sensors for unidirectional monitoring of emergency cases in particular, fall detection. Motivated by the desire to utilize bidirectional activity recognition to improve connectedness between an ageing population and their caregivers, we describe our planned approach to investigate how the perception of a caregiver’s activities by a senior citizen and vice versa can aid in improving social connectedness. To investigate this perception, activity states will be transformed into an information visualization into the caregiver’s home and vice versa without overt communication from participants. Findings are expected to provide further insight on the extent to which perception of human activities increase social connectedness.

References

  1. Anguita, D., Ghio, A., Oneto, L., Parra, X., and ReyesOrtiz, J. L. (2012). Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine. In Ambient assisted living and home care, pages 216-223. Springer.
  2. Aron, A., Aron, E. N., and Smollan, D. (1992). Inclusion of other in the self scale and the structure of interpersonal closeness. Journal of personality and social psychology, 63(4):596.
  3. Becker, T., Leese, M., Clarkson, P., Taylor, R., Turner, D., Kleckham, J., and Thornicroft, G. (1998). Links between social networks and quality of life: an epidemiologically representative study of psychotic patients in south london. Social Psychiatry and Psychiatric Epidemiology, 33(7):299-304.
  4. Blake, R. and Shiffrar, M. (2007). Perception of human motion. Annu. Rev. Psychol., 58:47-73.
  5. Bourke, A., O'Brien, J., and Lyons, G. (2007). Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm. Gait & Posture, 26(2):194-199.
  6. Cavaco, C. A. d. Q. S. (2014). New visualization model for large scale biosignals analysis.
  7. Chavarriaga, R., Sagha, H., Calatroni, A., Digumarti, S. T., Tröster, G., Millán, J. d. R., and Roggen, D. (2013). The opportunity challenge: A benchmark database for on-body sensor-based activity recognition. Pattern Recognition Letters, 34(15):2033-2042.
  8. Consolvo, S., McDonald, D. W., Toscos, T., Chen, M. Y., Froehlich, J., Harrison, B., Klasnja, P., LaMarca, A., LeGrand, L., Libby, R., et al. (2008). Activity sensing in the wild: a field trial of ubifit garden. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 1797-1806. ACM.
  9. Consolvo, S., Roessler, P., and Shelton, B. E. (2004). The carenet display: lessons learned from an in home evaluation of an ambient display. In UbiComp 2004: Ubiquitous Computing, pages 1-17. Springer.
  10. Cook, D., Schmitter-Edgecombe, M., Crandall, A., Sanders, C., and Thomas, B. (2009). Collecting and disseminating smart home sensor data in the casas project. In Proceedings of the CHI Workshop on Developing Shared Home Behavior Datasets to Advance HCI and Ubiquitous Computing Research.
  11. Dadlani, P., Gritti, T., Shan, C., de Ruyter, B., and Markopoulos, P. (2014). Sopresent: An awareness system for connecting remote households. Ambient Intelligence, page 67.
  12. Davis, K., Hu, J., Feijs, L., and Owusu, E. B. (2015). Social hue: A subtle awareness system for connecting the elderly and their caregivers. In Pervasive Computing and Communications Workshops (PERCOM Workshops), 2015 IEEE International Conference on. IEEE. In press.
  13. De Greef, P. and Ijsselsteijn, W. A. (2001). Social presence in a home tele-application. CyberPsychology & Behavior, 4(2):307-315.
  14. Halmos, P. (2013). Solitude and privacy: A study of social isolation, its causes and therapy. Routledge.
  15. Kaye, J., Levitt, M. K., Nevins, J., Golden, J., and Schmidt, V. (2005). Communicating intimacy one bit at a time. In CHI'05 extended abstracts on Human factors in computing systems, pages 1529-1532. ACM.
  16. Landabaso, M. and Letter, L. D. (2013). Guide to social innovation. page 71.
  17. Markopoulos, P. and Mackay, W. (2009). Awareness systems: Advances in theory, methodology and design. Springer Science & Business Media.
  18. Metaxas, G., Metin, B., Schneider, J., Markopoulos, P., and De Ruyter, B. (2007). Daily activities diarist: supporting aging in place with semantically enriched narratives. In Human-Computer Interaction-INTERACT 2007, pages 390-403. Springer.
  19. Mynatt, E. D., Rowan, J., Craighill, S., and Jacobs, A. (2001). Digital family portraits: supporting peace of mind for extended family members. In Proceedings of the SIGCHI conference on Human factors in computing systems, pages 333-340. ACM.
  20. Rashidi, P. and Mihailidis, A. (2013). A survey on ambientassisted living tools for older adults. IEEE journal of biomedical and health informatics, 17(3):579-590.
  21. Ravi, N., Dandekar, N., Mysore, P., and Littman, M. L. (2005). Activity recognition from accelerometer data. In AAAI, volume 5, pages 1541-1546.
  22. Reisberg, B., Finkel, S., Overall, J., Schmidt-Gollas, N., Kanowski, S., Lehfeld, H., Hulla, F., Sclan, S. G., Wilms, H.-U., Heininger, K., et al. (2001). The alzheimer's disease activities of daily living international scale (adl-is). International Psychogeriatrics, 13(02):163-181.
  23. Rodriguez-Martin, D., Sama, A., Perez-Lopez, C., Catala, A., Cabestany, J., and Rodriguez-Molinero, A. (2013). Svm-based posture identification with a single waistlocated triaxial accelerometer. Expert Systems with Applications, 40(18):7203-7211.
  24. Romero, N., Markopoulos, P., Van Baren, J., De Ruyter, B., Ijsselsteijn, W., and Farshchian, B. (2007). Connecting the family with awareness systems. Personal and Ubiquitous Computing, 11(4):299-312.
  25. Sheldon, J. H. et al. (1948). The social medicine of old age. report of an enquiry in wolverhampton. The Social Medicine of Old Age. Report of an Enquiry in Wolverhampton.
  26. Stafford, M., McMunn, A., Zaninotto, P., and Nazroo, J. (2011). Positive and negative exchanges in social relationships as predictors of depression: evidence from the english longitudinal study of aging. Journal of Aging and Health.
  27. Steptoe, A., Shankar, A., Demakakos, P., and Wardle, J. (2013). Social isolation, loneliness, and all-cause mortality in older men and women. Proceedings of the National Academy of Sciences, 110(15):5797-5801.
  28. Troje, N. F. (2002). Decomposing biological motion: A framework for analysis and synthesis of human gait patterns. Journal of vision, 2(5):2.
  29. Umberson, D. and Montez, J. K. (2010). Social relationships and health a flashpoint for health policy. Journal of health and social behavior, 51(1 suppl):S54-S66.
  30. Ustev, Y. E., Durmaz Incel, O., and Ersoy, C. (2013). User, device and orientation independent human activity recognition on mobile phones: challenges and a proposal. In Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication, pages 1427-1436. ACM.
  31. Van Bel, D. T., IJsselsteijn, W. A., and de Kort, Y. A. (2008). Interpersonal connectedness: conceptualization and directions for a measurement instrument. In CHI'08 extended abstracts on Human factors in computing systems, pages 3129-3134. ACM.
Download


Paper Citation


in Harvard Style

Davis K., Owusu E., Regazzoni C., Marcenaro L., Feijs L. and Hu J. (2015). Perception of Human Activities - A Means to Support Connectedness Between the Elderly and Their Caregivers . In Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AgeingWell, ISBN 978-989-758-102-1, pages 194-199. DOI: 10.5220/0005490601940199


in Bibtex Style

@conference{ict4ageingwell15,
author={Kadian Davis and Evans Owusu and Carlo Regazzoni and Lucio Marcenaro and Loe Feijs and Jun Hu},
title={Perception of Human Activities - A Means to Support Connectedness Between the Elderly and Their Caregivers},
booktitle={Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AgeingWell,},
year={2015},
pages={194-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005490601940199},
isbn={978-989-758-102-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AgeingWell,
TI - Perception of Human Activities - A Means to Support Connectedness Between the Elderly and Their Caregivers
SN - 978-989-758-102-1
AU - Davis K.
AU - Owusu E.
AU - Regazzoni C.
AU - Marcenaro L.
AU - Feijs L.
AU - Hu J.
PY - 2015
SP - 194
EP - 199
DO - 10.5220/0005490601940199