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

Steve Williams; John Ware; Berndt Muller

doi:10.1007/978-3-030-12738-1_3

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

Steve Williams, John Ware, Berndt Muller

Ysgol Cyfrifadureg a Mathemateg

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i gynhadledd › adolygiad gan gymheiriaid

55 Wedi eu Llwytho i Lawr (Pure)

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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.

Iaith wreiddiol	Saesneg
Teitl	Artificial Intelligence in Health
Is-deitl	First International Workshop, AIH 2018, Stockholm, Sweden, July 13-14, 2018, Revised Selected Papers
Golygyddion	Fernando Koch, Andrew Koster, David Riaño, Sara Montagna, Michael Schumacher, Anette ten Teije, Christian Guttmann, Manfred Reichert, Isabelle Bichindaritz, Pau Herrero, Richard Lenz, Beatriz López, Cindy Marling, Clare Martin, Stefania Montani, Nirmalie Wiratunga
Cyhoeddwr	Springer
Tudalennau	29-47
ISBN (Electronig)	978-3-030-12738-1
ISBN (Argraffiad)	978-3-030-12737-4
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1007/978-3-030-12738-1_3
Statws	Cyhoeddwyd - 21 Chwef 2019
Digwyddiad	First International Workshop, Artificial Intelligence in Health 2018 - Stockholm, Sweden Hyd: 13 Jul 2018 → 14 Jul 2018

Cyfres gyhoeddiadau

Enw	Lecture Notes in Artificial Intelligence
Cyhoeddwr	Springer
Cyfrol	11326
ISSN (Argraffiad)	0302-9743

Gweithdy

Gweithdy	First International Workshop, Artificial Intelligence in Health 2018
Teitl cryno	AIH2018
Gwlad/Tiriogaeth	Sweden
Dinas	Stockholm
Cyfnod	13/07/18 → 14/07/18

Mynediad at Ddogfen

10.1007/978-3-030-12738-1_3Trwydded: CC BY-NC-ND

SW-MJW-BM-AIH2018-LNAI reviewedII-finalLlawysgrif awdur wedi’i dderbyn, 3.87 MBTrwydded: Amhenodol

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Williams, S., Ware, J., & Muller, B. (2019). Ethical Surveillance: Applying Deep Learning and Contextual Awareness for the Benefit of Persons Living with Dementia. Yn F. Koch, A. Koster, D. Riaño, S. Montagna, M. Schumacher, A. T. Teije, C. Guttmann, M. Reichert, I. Bichindaritz, P. Herrero, R. Lenz, B. López, C. Marling, C. Martin, S. Montani, & N. Wiratunga (Gol.), Artificial Intelligence in Health: First International Workshop, AIH 2018, Stockholm, Sweden, July 13-14, 2018, Revised Selected Papers (tt. 29-47). (Lecture Notes in Artificial Intelligence ; Cyfrol 11326). Springer. https://doi.org/10.1007/978-3-030-12738-1_3

Williams, Steve ; Ware, John ; Muller, Berndt. / Ethical Surveillance: Applying Deep Learning and Contextual Awareness for the Benefit of Persons Living with Dementia. Artificial Intelligence in Health: First International Workshop, AIH 2018, Stockholm, Sweden, July 13-14, 2018, Revised Selected Papers. Gol. / Fernando Koch ; Andrew Koster ; David Riaño ; Sara Montagna ; Michael Schumacher ; Anette ten Teije ; Christian Guttmann ; Manfred Reichert ; Isabelle Bichindaritz ; Pau Herrero ; Richard Lenz ; Beatriz López ; Cindy Marling ; Clare Martin ; Stefania Montani ; Nirmalie Wiratunga . Springer, 2019. tt. 29-47 (Lecture Notes in Artificial Intelligence ).

@inproceedings{b79a4ba79485436c99e2acfc268b3f47,

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

abstract = "A significant proportion of the population has become used tosharing 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.",

keywords = "privacy, deep learning, assisted-living, mobile computing, ethics, mHealth, Wearable health, Dementia, safer walking, GPS, LSTM, RNN",

author = "Steve Williams and John Ware and Berndt Muller",

year = "2019",

month = feb,

day = "21",

doi = "10.1007/978-3-030-12738-1_3",

language = "English",

isbn = "978-3-030-12737-4",

series = "Lecture Notes in Artificial Intelligence ",

publisher = "Springer",

pages = "29--47",

editor = "Koch, {Fernando } and Andrew Koster and David Ria{\~n}o and Sara Montagna and Michael Schumacher and Teije, {Anette ten} and Christian Guttmann and Manfred Reichert and Isabelle Bichindaritz and Pau Herrero and Richard Lenz and Beatriz L{\'o}pez and Cindy Marling and Clare Martin and Montani, {Stefania } and {Wiratunga }, Nirmalie",

booktitle = "Artificial Intelligence in Health",

address = "Germany",

note = "First International Workshop, Artificial Intelligence in Health 2018, AIH2018 ; Conference date: 13-07-2018 Through 14-07-2018",

}

Williams, S, Ware, J & Muller, B 2019, Ethical Surveillance: Applying Deep Learning and Contextual Awareness for the Benefit of Persons Living with Dementia. yn F Koch, A Koster, D Riaño, S Montagna, M Schumacher, AT Teije, C Guttmann, M Reichert, I Bichindaritz, P Herrero, R Lenz, B López, C Marling, C Martin, S Montani & N Wiratunga (gol.), Artificial Intelligence in Health: First International Workshop, AIH 2018, Stockholm, Sweden, July 13-14, 2018, Revised Selected Papers. Lecture Notes in Artificial Intelligence , cyfrol. 11326, Springer, tt. 29-47, First International Workshop, Artificial Intelligence in Health 2018, Stockholm, Sweden, 13/07/18. https://doi.org/10.1007/978-3-030-12738-1_3

Ethical Surveillance: Applying Deep Learning and Contextual Awareness for the Benefit of Persons Living with Dementia. / Williams, Steve; Ware, John; Muller, Berndt.

Artificial Intelligence in Health: First International Workshop, AIH 2018, Stockholm, Sweden, July 13-14, 2018, Revised Selected Papers. gol. / Fernando Koch; Andrew Koster; David Riaño; Sara Montagna; Michael Schumacher; Anette ten Teije; Christian Guttmann; Manfred Reichert; Isabelle Bichindaritz; Pau Herrero; Richard Lenz; Beatriz López; Cindy Marling; Clare Martin; Stefania Montani; Nirmalie Wiratunga . Springer, 2019. t. 29-47 (Lecture Notes in Artificial Intelligence ; Cyfrol 11326).

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i gynhadledd › adolygiad gan gymheiriaid

TY - GEN

T1 - Ethical Surveillance: Applying Deep Learning and Contextual Awareness for the Benefit of Persons Living with Dementia

AU - Williams, Steve

AU - Ware, John

AU - Muller, Berndt

PY - 2019/2/21

Y1 - 2019/2/21

N2 - A significant proportion of the population has become used tosharing 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.

AB - A significant proportion of the population has become used tosharing 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.

KW - privacy

KW - deep learning

KW - assisted-living

KW - mobile computing

KW - ethics

KW - mHealth

KW - Wearable health

KW - Dementia

KW - safer walking

KW - GPS

KW - LSTM

KW - RNN

U2 - 10.1007/978-3-030-12738-1_3

DO - 10.1007/978-3-030-12738-1_3

M3 - Conference contribution

SN - 978-3-030-12737-4

T3 - Lecture Notes in Artificial Intelligence

SP - 29

EP - 47

BT - Artificial Intelligence in Health

A2 - Koch, Fernando

A2 - Koster, Andrew

A2 - Riaño, David

A2 - Montagna, Sara

A2 - Schumacher, Michael

A2 - Teije, Anette ten

A2 - Guttmann, Christian

A2 - Reichert, Manfred

A2 - Bichindaritz, Isabelle

A2 - Herrero, Pau

A2 - Lenz, Richard

A2 - López, Beatriz

A2 - Marling, Cindy

A2 - Martin, Clare

A2 - Montani, Stefania

A2 - Wiratunga , Nirmalie

PB - Springer

T2 - First International Workshop, Artificial Intelligence in Health 2018

Y2 - 13 July 2018 through 14 July 2018

ER -

Williams S, Ware J, Muller B. Ethical Surveillance: Applying Deep Learning and Contextual Awareness for the Benefit of Persons Living with Dementia. Yn Koch F, Koster A, Riaño D, Montagna S, Schumacher M, Teije AT, Guttmann C, Reichert M, Bichindaritz I, Herrero P, Lenz R, López B, Marling C, Martin C, Montani S, Wiratunga N, golygyddion, Artificial Intelligence in Health: First International Workshop, AIH 2018, Stockholm, Sweden, July 13-14, 2018, Revised Selected Papers. Springer. 2019. t. 29-47. (Lecture Notes in Artificial Intelligence ). https://doi.org/10.1007/978-3-030-12738-1_3

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

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