State of the Art of Audio- and Video-Based Solutions for AAL

Slavisa Aleksic; Michael Atanasov; Jean Calleja Agius; Kenneth Camilleri; Anto Cartolovni; Pau Climent-Peerez; Sara Colantonio; Stefania Cristina; Vladimir Despotovic; Hazim Kemal Ekenel; Ekrem Erakin; Francisco Florez-Revuelta; Danila Germanese; Nicole Grech; Steinunn Gróa Sigurðardóttir; Murat Emirzeoglu; Ivo Iliev; Mladjan Jovanovic; Martin Kampel; William Kearns; Andrzej Klimczuk; Lambros Lambrinos; Jennifer Lumetzberger; Wiktor Mucha; Sophie Noiret; Zada Pajalic; Rodrigo Rodriguez Peerez; Galidiya Petrova; Sintija Petrovica; Peter Pocta; Angelica Poli; Mara Pudane; Susanna Spinsante; Albert Ali Salah; Maria Jose Santofimia; Anna Sigridur Islind; Lacramioara Stoicu-Tivadar; Hilda Tellioglu; Andrej Zgank

doi:10.48550/arXiv.2207.01487

State of the Art of Audio- and Video-Based Solutions for AAL

Slavisa Aleksic, Michael Atanasov, Jean Calleja Agius, Kenneth Camilleri, Anto Cartolovni, Pau Climent-Peerez, Sara Colantonio, Stefania Cristina, Vladimir Despotovic, Hazim Kemal Ekenel, Ekrem Erakin, Francisco Florez-Revuelta, Danila Germanese, Nicole Grech, Steinunn Gróa Sigurðardóttir, Murat Emirzeoglu, Ivo Iliev, Mladjan Jovanovic, Martin Kampel, William KearnsAndrzej Klimczuk, Lambros Lambrinos, Jennifer Lumetzberger, Wiktor Mucha, Sophie Noiret, Zada Pajalic, Rodrigo Rodriguez Peerez, Galidiya Petrova, Sintija Petrovica, Peter Pocta, Angelica Poli, Mara Pudane, Susanna Spinsante, Albert Ali Salah, Maria Jose Santofimia, Anna Sigridur Islind, Lacramioara Stoicu-Tivadar, Hilda Tellioglu, Andrej Zgank

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Abstract

The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) remote monitoring of vital signs, (iii) emotional state recognition, (iv) food intake monitoring, activity and behaviour recognition, (v) activity and personal assistance, (vi) gesture recognition, (vii) fall detection and prevention, (viii) mobility assessment and frailty recognition, and (ix) cognitive and motor rehabilitation. For these application scenarios, the report illustrates the state of play in terms of scientific advances, available products and research project. The open challenges are also highlighted.

Original language	Undefined/Unknown
DOIs	https://doi.org/10.48550/arXiv.2207.01487
Publication status	Published - 26 Jun 2022

Keywords

cs.CY
cs.AI
cs.HC
cs.SD
eess.AS
I.2

Access to Document

10.48550/arXiv.2207.01487Licence: CC BY

2207.01487v2Licence: CC BY

Cite this

Aleksic, S., Atanasov, M., Agius, J. C., Camilleri, K., Cartolovni, A., Climent-Peerez, P., Colantonio, S., Cristina, S., Despotovic, V., Ekenel, H. K., Erakin, E., Florez-Revuelta, F., Germanese, D., Grech, N., Sigurðardóttir, S. G., Emirzeoglu, M., Iliev, I., Jovanovic, M., Kampel, M., ... Zgank, A. (2022). State of the Art of Audio- and Video-Based Solutions for AAL. https://doi.org/10.48550/arXiv.2207.01487

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abstract = "The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) remote monitoring of vital signs, (iii) emotional state recognition, (iv) food intake monitoring, activity and behaviour recognition, (v) activity and personal assistance, (vi) gesture recognition, (vii) fall detection and prevention, (viii) mobility assessment and frailty recognition, and (ix) cognitive and motor rehabilitation. For these application scenarios, the report illustrates the state of play in terms of scientific advances, available products and research project. The open challenges are also highlighted.",

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author = "Slavisa Aleksic and Michael Atanasov and Agius, {Jean Calleja} and Kenneth Camilleri and Anto Cartolovni and Pau Climent-Peerez and Sara Colantonio and Stefania Cristina and Vladimir Despotovic and Ekenel, {Hazim Kemal} and Ekrem Erakin and Francisco Florez-Revuelta and Danila Germanese and Nicole Grech and Sigur{\dh}ard{\'o}ttir, {Steinunn Gr{\'o}a} and Murat Emirzeoglu and Ivo Iliev and Mladjan Jovanovic and Martin Kampel and William Kearns and Andrzej Klimczuk and Lambros Lambrinos and Jennifer Lumetzberger and Wiktor Mucha and Sophie Noiret and Zada Pajalic and Peerez, {Rodrigo Rodriguez} and Galidiya Petrova and Sintija Petrovica and Peter Pocta and Angelica Poli and Mara Pudane and Susanna Spinsante and Salah, {Albert Ali} and Santofimia, {Maria Jose} and Islind, {Anna Sigridur} and Lacramioara Stoicu-Tivadar and Hilda Tellioglu and Andrej Zgank",

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Aleksic, S, Atanasov, M, Agius, JC, Camilleri, K, Cartolovni, A, Climent-Peerez, P, Colantonio, S, Cristina, S, Despotovic, V, Ekenel, HK, Erakin, E, Florez-Revuelta, F, Germanese, D, Grech, N, Sigurðardóttir, SG, Emirzeoglu, M, Iliev, I, Jovanovic, M, Kampel, M, Kearns, W, Klimczuk, A, Lambrinos, L, Lumetzberger, J, Mucha, W, Noiret, S, Pajalic, Z, Peerez, RR, Petrova, G, Petrovica, S, Pocta, P, Poli, A, Pudane, M, Spinsante, S, Salah, AA, Santofimia, MJ, Islind, AS, Stoicu-Tivadar, L, Tellioglu, H & Zgank, A 2022 'State of the Art of Audio- and Video-Based Solutions for AAL'. https://doi.org/10.48550/arXiv.2207.01487

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AU - Aleksic, Slavisa

AU - Atanasov, Michael

AU - Agius, Jean Calleja

AU - Camilleri, Kenneth

AU - Cartolovni, Anto

AU - Climent-Peerez, Pau

AU - Colantonio, Sara

AU - Cristina, Stefania

AU - Despotovic, Vladimir

AU - Ekenel, Hazim Kemal

AU - Erakin, Ekrem

AU - Florez-Revuelta, Francisco

AU - Germanese, Danila

AU - Grech, Nicole

AU - Sigurðardóttir, Steinunn Gróa

AU - Emirzeoglu, Murat

AU - Iliev, Ivo

AU - Jovanovic, Mladjan

AU - Kampel, Martin

AU - Kearns, William

AU - Klimczuk, Andrzej

AU - Lambrinos, Lambros

AU - Lumetzberger, Jennifer

AU - Mucha, Wiktor

AU - Noiret, Sophie

AU - Pajalic, Zada

AU - Peerez, Rodrigo Rodriguez

AU - Petrova, Galidiya

AU - Petrovica, Sintija

AU - Pocta, Peter

AU - Poli, Angelica

AU - Pudane, Mara

AU - Spinsante, Susanna

AU - Salah, Albert Ali

AU - Santofimia, Maria Jose

AU - Islind, Anna Sigridur

AU - Stoicu-Tivadar, Lacramioara

AU - Tellioglu, Hilda

AU - Zgank, Andrej

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AB - The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) remote monitoring of vital signs, (iii) emotional state recognition, (iv) food intake monitoring, activity and behaviour recognition, (v) activity and personal assistance, (vi) gesture recognition, (vii) fall detection and prevention, (viii) mobility assessment and frailty recognition, and (ix) cognitive and motor rehabilitation. For these application scenarios, the report illustrates the state of play in terms of scientific advances, available products and research project. The open challenges are also highlighted.

KW - cs.CY

KW - cs.AI

KW - cs.HC

KW - cs.SD

KW - eess.AS

KW - I.2

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DO - 10.48550/arXiv.2207.01487

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BT - State of the Art of Audio- and Video-Based Solutions for AAL

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