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2019 | OriginalPaper | Chapter

Ethical Surveillance: Applying Deep Learning and Contextual Awareness for the Benefit of Persons Living with Dementia

Authors : Steve Williams, J. Mark Ware, Berndt Müller

Published in: Artificial Intelligence in Health

Publisher: Springer International Publishing

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Abstract

A significant proportion of the population has become used to sharing private information on the internet with their friends. This information can leak throughout their social network and the extent that personal information propagates can depend on the privacy policy of large corporations. In an era of artificial intelligence, data mining, and cloud computing, is it necessary to share personal information with unidentified people? Our research shows that deep learning is possible using relatively low capacity computing. When applied, this demonstrates promising results in spatio-temporal positioning of subjects, in prediction of movement, and assessment of contextual risk. A private surveillance system is particularly suitable in the care of those who may be considered vulnerable.

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Note that Google Timeline is only used for data gathering in this initial feasibility study. The full solution uses GPS data stored only locally on the mobile device and processed on the home hub.

Williams, S., Müller, B.: Agents and dementia—smart risk assessment. In: Criado Pacheco, N., Carrascosa, C., Osman, N., Julián Inglada, V. (eds.) EUMAS/AT-2016. LNCS (LNAI), vol. 10207, pp. 277–284. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59294-7_22CrossRef

Williams, S., Ware, J.M.: Is the use of ‘mobile computer technology’ appropriate for locating people with dementia? In: 2015 Proceedings of GIS Research UK (GISRUK), pp. 659–664. Figshare, Leeds (2015). https://doi.org/10.6084/m9.figshare.1491375

Read, S., Toye, C., Wynaden, D.: Experiences and expectations of living with dementia: a qualitative study. Collegian 24(5), 427–432 (2017). https://doi.org/10.1016/j.colegn.2016.09.003CrossRef

Silverstein, N.F.: Dementia and Wandering Behavior: Concern for the Lost Elder. Springer, New York (2006). ISBN 0-8261-0272-7

McShane, R., et al.: Getting lost in dementia: a longitudinal study of a behavioral symptom. Int. Psychogeriatr. 10(03), 253–260 (1998). http://www.ncbi.nlm.nih.gov/pubmed/9785146CrossRef

Ali, N., et al.: Risk assessment of wandering behavior in mild dementia. Int. J. Geriatr. Psychiatry 31, 367–374 (2016). https://doi.org/10.1002/gps.4336CrossRef

Martyr, A., et al.: Living well with dementia: a systematic review. Alzheimer’s Dement. J. Alzheimer’s Assoc. 13(7), 1567–1568 (2017). https://doi.org/10.1016/j.jalz.2017.07.725CrossRef

Cipriani, G., Lucetti, C., Nuti, A., Danti, S.: Wandering and dementia. Psychogeriatrics 14, 135–142 (2014). https://doi.org/10.1111/psyg.12044CrossRef

Riikonen, M., Mäkelä, K., Perälä, S.: Safety and monitoring technologies for the homes of people with dementia. Gerontechnology 9(1), 32–45 (2010). https://doi.org/10.4017/gt.2010.09.01.003.00CrossRef

10.

Mathews, L.: Data From 540,000 GPS Vehicle Trackers Leaked Online forbes.com (2017). https://www.forbes.com/sites/leemathews/2017/09/22/data-from-540000-vehicle-tracking-devices-leaked-online/#40b9c009274b. Accessed 19 Sept 2018

11.

Trackmageddon website: Multiple vulnerabilities in the online services of (GPS) location tracking devices (2018). https://0x0.li/trackmageddon/. 18 Aug 2018

12.

World Health Organisation: Ensuring a human rights-based approach for people living with dementia (2015). The need for a human-rights based approach: http://www.who.int/mental_health/neurology/dementia/dementia_thematicbrief_human_rights.pdf. Accessed Mar 2018

13.

LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521, 436–444 (2015). https://doi.org/10.1038/nature14539CrossRef

14.

Schmidhuber, J.: Deep learning in neural networks: an overview. Neural Networks 61, 85–117 (2014). https://doi.org/10.1016/j.neunet.2014.09.003CrossRef

15.

Brownlee, J.: How to Implement the Backpropagation Algorithm From Scratch in Python (2016). Machine Learning Mastery: https://machinelearningmastery.com/implement-backpropagation-algorithm-scratch-python/. Accessed Mar 2018

16.

Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735–1780 (1997). https://doi.org/10.1162/neco.1997.9.8.1735CrossRef

17.

Kwapisz, J.R., Weiss, G.M., Moore, S.A.: Activity recognition using cell phone accelerometers. ACM SIGKDD Explor. Newsl. 12(2), 74–82 (2010). https://doi.org/10.1145/1964897.1964918CrossRef

18.

Ramamurthy, S.R., Roy, N.: Recent trends in machine learning for human activity recognition—a survey. Data Min. Knowl. Discov. 8, 1–19 (2018). https://doi.org/10.1002/widm.1254CrossRef

19.

Arifoglu, D., Bouchachia, A.: Activity recognition and abnormal behaviour detection with recurrent neural networks. In: 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) (2017). Procedia Comput. Sci. 110, 86–93. https://doi.org/10.1016/j.procs.2017.06.121CrossRef

20.

Batista, E., Borras, F., Casino, F., Solanas, A.: A study on the detection of wandering patterns in human trajectories. In: 6th International Conference on Information, Intelligence, Systems and Applications (IISA), pp. 1–6. IEEE, Corfu (2015)

21.

Maneewongvatana, S., Mount, D.M.: Analysis of approximate nearest neighbor searching with clustered point sets. CoRR arXiv:cs/9901013v1 (1999)

22.

SciPy.Org: Interpolation (scipy.interpolate). https://docs.scipy.org/doc/scipy/reference/interpolate.html. Accessed 17 Mar 2018

23.

Google: Encoded Polyline Algorithm Format. Google Maps Api: https://developers.google.com/maps/documentation/utilities/polylinealgorithm?csw=1. Accessed 17 Mar 2018

24.

Zheng, Y., et al.: Geolife GPS trajectories 1.1. In: Geolife GPS Trajectory Dataset - User Guide. Microsoft Research (2011). https://www.microsoft.com/en-us/research/publication/Geolife-gps-trajectory-dataset-user-guide. Accessed 18 Sept 2018

25.

González, M.C., Hidalgo, C.A., Barabási, A.: Understanding individual human mobility patterns. Nature 453, 779–782 (2008). https://doi.org/10.1038/nature06958CrossRef

26.

Google Maps Platform: Snap to Roads. Roads API: https://developers.google.com/maps/documentation/roads/snap. Accessed 18 Sept 2018

27.

Fabrice Marchal: TrackMatching API. TrackMatching Website: https://mapmatching.3scale.net/mmswag. Accessed 18 Sept 2018

28.

Google Directions API: Google Directions API. Google Maps: https://developers.google.com/maps/documentation/directions/start. Accessed 18 Sept 2018

29.

Lambertus: YOURS Routing_API. Yet another OpenStreetMap Route Service: https://wiki.openstreetmap.org/wiki/YOURS#Routing_API. Accessed 18 Sept 2018

30.

Laure, P.-D., Yammine, P., Bastuji, H., Croisilef, B.: Sleep and Alzheimer’s disease. Sleep Med. Rev. 19, 29–38 (2015)CrossRef

31.

Hope, T., et al.: Predictors of institutionalization for people with dementia living at home with a carer. Int. J. Geriatr. Psychiatry 13(10), 682–690 (1998)CrossRef

32.

McCurry, S., Logsdon, R., Teri, L., Vitiello, M.: Sleep disturbances in caregivers of persons with dementia: contributing factors and treatment implications. Sleep Med. Rev. 11(2), 143–153 (2007)CrossRef

33.

Brodaty, H.D.: Family caregivers of people with dementia. Dialogues Clin. Neurosci. 11(2), 217–228 (2009). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3181916/. Accessed 17 Apr 2018

34.

Keill, A.K., et al.: Validity of wearable fitness trackers on sleep measure. Med. Sci. Sports Exerc. 48(5S), 10 (2016)CrossRef

35.

scikit-learn developers: sklearn.cluster.AgglomerativeClustering. http://scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html. Accessed 18 Sept 2018

36.

sklearn.cluster developers: sklearn.cluster.KMeans. scikit-learn: http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html. Accessed 18 Sept 2018

37.

Dark Sky Website: Dark Sky Weather API. https://darksky.net/dev. Accessed 18 Sept 2018

38.

Gibson, G., et al.: The everyday use of assistive technology by people with dementia and their family carers: a qualitative study. BMC Geriatr. 15, 89 (2015). https://doi.org/10.1186/s12877-015-0091-3CrossRef

Title: Ethical Surveillance: Applying Deep Learning and Contextual Awareness for the Benefit of Persons Living with Dementia
Authors: Steve Williams
J. Mark Ware
Berndt Müller
Publisher: Springer International Publishing
Book: Artificial Intelligence in Health
Print ISBN: 978-3-030-12737-4

Electronic ISBN: 978-3-030-12738-1

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-12738-1_3

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