Proposta de um Ambiente Interacional baseado em um Espaço Inteligente Programável
Resumo
Nos últimos anos, a criação de espaços inteligentes tem sido o foco de muitos trabalhos. Uma das funcionalidades que se busca em alguns desses ambientes é a interação com usuários. Nesse sentido, esse trabalho propõe um Ambiente Interacional baseado em um Espaço Inteligente Programável, que garante flexibilidade e escalabilidade ao sistema. Assim, neste artigo alguns serviços essenciais, como detecção 2D e localização 3D de esqueletos, para suportar outros mais complexos, são desenvolvidos e testados. Para validação do ambiente proposto, uma aplicação que usa todos os serviços aqui apresentados é executada e avaliada.
Palavras-chave:
Espaço Inteligente, Ambiente Interacional, Visão Computacional, Detecção de Esqueletos, Mapas de Ocupação
Referências
Almonfrey, D., do Carmo, A. P., de Queiroz, F. M., Picoreti, R., Vassallo, R. F., andSalles, E. O. T. (2018). A flexible human detection service suitable for intelligentspaces based on a multi-camera network.International Journal of DistributedSensor Networks, 14(3):1550147718763550.
Bhardwaj, S., Ozcelebi, T., Lukkien, J. J., and Lee, K. M. (2018). Smart spaceconcepts, properties and architectures.IEEE Access, 6:70088–70112.
Carmo, A. P., Vassallo, R. F., Queiroz, F. M., Picoreti, R., Fernandes, M. R.,Gomes, R. L., Martinello, M., Dominicini, C. K., Guimarães, R., Garcia, A. S.,Ribeiro, M. R. N., and Simeonidou, D. (2019). Programmable intelligent spacesfor Industry 4.0: Indoor visual localization driving attocell networks.Transactionson Emerging Telecommunications Technologies, page e3610.
Casillas-Perez, D., Macias-Guarasa, J., Marron-Romera, M., Fuentes-Jimenez, D.,and Fernandez-Rincon, A. (2016). Full body gesture recognition for human-machine interaction in intelligent spaces. In Ortu ̃no, F. and Rojas, I., editors,Bioinformatics and Biomedical Engineering. IWBBIO 2016, volume 9656, Cham.Springer International Publishing.
Chen, R., Wang, X., Liu, Y., Wang, S., and Huang, S. (2019). A survey of pedestriandetection based on deep learning. InInternational Conference in Communicati-ons, Signal Processing, and Systems, pages 1511–1516. Springer.
dos-Santos, C. C., Samatelo, J. L. A., and Vassallo, R. F. (2020). Dynamic gesturerecognition by using cnns and star rgb: A temporal information condensation.Neurocomputing, in Press.
Fowler, M. and Lewis, J. (2014). Microservices a definition of this new architecturalterm.http://martinfowler.com/articles/microservices.html.
Garrido-Jurado, S., Mu ̃noz-Salinas, R., Madrid-Cuevas, F., and Mar ́ın-Jim ́enez, M.(2014). Automatic generation and detection of highly reliable fiducial markersunder occlusion.Pattern Recognition, 47(6):2280 – 2292.
Gherghescu, I. (2018). Interactive spaces a change in scenographic aesthetics. In2018IEEE 14th International Conference on Intelligent Computer Communication andProcessing (ICCP), pages 159–163.
Glas., D. F., Kamei, K., Kanda, T., Miyashita, T., and Hagita, N. (2015). Human-robot interaction in public and smart spaces.Intelligent Assistive Robots: RecentAdvances in Assistive Robotics for Everyday Activities, 106:235–273.
Joo, H., Liu, H., Tan, L., Gui, L., Nabbe, B., Matthews, I., Kanade, T., Nobuhara,S., and Sheikh, Y. (2015). Panoptic studio: A massively multiview system forsocial motion capture. In2015 IEEE International Conference on ComputerVision (ICCV), pages 3334–3342.
Mitra, S. and Acharya, T. (2007). Gesture recognition: A survey.IEEE Tran-sactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews),37(3):311–324.
M ̈oller, D. P. F. (2016).Ubiquitous Computing, pages 185–234. Springer Internati-onal Publishing, Cham.
Picoreti, R., Pereira do Carmo, A., Mendon ̧ca de Queiroz, F., Salles Garcia,A., Frizera Vassallo, R., and Simeonidou, D. (2018).Multilevel observabi-lity in cloud orchestration. In2018 IEEE 16th International Conference onDASC/PiCom/DataCom/CyberSciTech, pages 776–784.
Queiroz, F., Picoreti, R., Canuto, C., Fernandes, M., and Vassallo, R. (2018). Esti-mating tridimensional coordinates of skeleton joints in a multicamera system. InAnais do XIV Workshop de Vis ̃ao Computacional.
Redmon, J. and Farhadi, A. (2018). Yolov3: An incremental improvement.arXiv.
Ryan, M.-L. (1999). Immersion vs. interactivity: Virtual reality and literary theory.SubStance, 28(2):110–137.
Vega-Barbas, M., Pau, I., Augusto, J. C., and Seoane, F. (2018). Interaction patternsfor smart spaces: A confident interaction design solution for pervasive sensitiveiot services.IEEE Access, 6:1126–1136.
Wang, X., Bernardos, A. M., Besada, J. A., Metola, E., and Casar, J. R. (2015). Agesture-based method for natural interaction in smart spaces.Journal of AmbientIntelligence and Smart Environments, 7:535–562.
Wei, S.-E., Ramakrishna, V., Kanade, T., and Sheikh, Y. (2016). Convolutional posemachines.2016 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), pages 4724–4732.
Zhang, H.-B., Zhang, Y.-X., Zhong, B., Lei, Q., Yang, L., Du, J.-X., and Chen,D.-S. (2019). A comprehensive survey of vision-based human action recognitionmethods.Sensors, 19(5):1005.
Bhardwaj, S., Ozcelebi, T., Lukkien, J. J., and Lee, K. M. (2018). Smart spaceconcepts, properties and architectures.IEEE Access, 6:70088–70112.
Carmo, A. P., Vassallo, R. F., Queiroz, F. M., Picoreti, R., Fernandes, M. R.,Gomes, R. L., Martinello, M., Dominicini, C. K., Guimarães, R., Garcia, A. S.,Ribeiro, M. R. N., and Simeonidou, D. (2019). Programmable intelligent spacesfor Industry 4.0: Indoor visual localization driving attocell networks.Transactionson Emerging Telecommunications Technologies, page e3610.
Casillas-Perez, D., Macias-Guarasa, J., Marron-Romera, M., Fuentes-Jimenez, D.,and Fernandez-Rincon, A. (2016). Full body gesture recognition for human-machine interaction in intelligent spaces. In Ortu ̃no, F. and Rojas, I., editors,Bioinformatics and Biomedical Engineering. IWBBIO 2016, volume 9656, Cham.Springer International Publishing.
Chen, R., Wang, X., Liu, Y., Wang, S., and Huang, S. (2019). A survey of pedestriandetection based on deep learning. InInternational Conference in Communicati-ons, Signal Processing, and Systems, pages 1511–1516. Springer.
dos-Santos, C. C., Samatelo, J. L. A., and Vassallo, R. F. (2020). Dynamic gesturerecognition by using cnns and star rgb: A temporal information condensation.Neurocomputing, in Press.
Fowler, M. and Lewis, J. (2014). Microservices a definition of this new architecturalterm.http://martinfowler.com/articles/microservices.html.
Garrido-Jurado, S., Mu ̃noz-Salinas, R., Madrid-Cuevas, F., and Mar ́ın-Jim ́enez, M.(2014). Automatic generation and detection of highly reliable fiducial markersunder occlusion.Pattern Recognition, 47(6):2280 – 2292.
Gherghescu, I. (2018). Interactive spaces a change in scenographic aesthetics. In2018IEEE 14th International Conference on Intelligent Computer Communication andProcessing (ICCP), pages 159–163.
Glas., D. F., Kamei, K., Kanda, T., Miyashita, T., and Hagita, N. (2015). Human-robot interaction in public and smart spaces.Intelligent Assistive Robots: RecentAdvances in Assistive Robotics for Everyday Activities, 106:235–273.
Joo, H., Liu, H., Tan, L., Gui, L., Nabbe, B., Matthews, I., Kanade, T., Nobuhara,S., and Sheikh, Y. (2015). Panoptic studio: A massively multiview system forsocial motion capture. In2015 IEEE International Conference on ComputerVision (ICCV), pages 3334–3342.
Mitra, S. and Acharya, T. (2007). Gesture recognition: A survey.IEEE Tran-sactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews),37(3):311–324.
M ̈oller, D. P. F. (2016).Ubiquitous Computing, pages 185–234. Springer Internati-onal Publishing, Cham.
Picoreti, R., Pereira do Carmo, A., Mendon ̧ca de Queiroz, F., Salles Garcia,A., Frizera Vassallo, R., and Simeonidou, D. (2018).Multilevel observabi-lity in cloud orchestration. In2018 IEEE 16th International Conference onDASC/PiCom/DataCom/CyberSciTech, pages 776–784.
Queiroz, F., Picoreti, R., Canuto, C., Fernandes, M., and Vassallo, R. (2018). Esti-mating tridimensional coordinates of skeleton joints in a multicamera system. InAnais do XIV Workshop de Vis ̃ao Computacional.
Redmon, J. and Farhadi, A. (2018). Yolov3: An incremental improvement.arXiv.
Ryan, M.-L. (1999). Immersion vs. interactivity: Virtual reality and literary theory.SubStance, 28(2):110–137.
Vega-Barbas, M., Pau, I., Augusto, J. C., and Seoane, F. (2018). Interaction patternsfor smart spaces: A confident interaction design solution for pervasive sensitiveiot services.IEEE Access, 6:1126–1136.
Wang, X., Bernardos, A. M., Besada, J. A., Metola, E., and Casar, J. R. (2015). Agesture-based method for natural interaction in smart spaces.Journal of AmbientIntelligence and Smart Environments, 7:535–562.
Wei, S.-E., Ramakrishna, V., Kanade, T., and Sheikh, Y. (2016). Convolutional posemachines.2016 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), pages 4724–4732.
Zhang, H.-B., Zhang, Y.-X., Zhong, B., Lei, Q., Yang, L., Du, J.-X., and Chen,D.-S. (2019). A comprehensive survey of vision-based human action recognitionmethods.Sensors, 19(5):1005.
Publicado
30/06/2020
Como Citar
CUSTODIO, Pedro Vinicius dos Santos; DE QUEIROZ, Felippe Mendonça ; ALMONFREY, Douglas; COTTA, Wagner Augusto Aranda; DO CARMO, Alexandre Pereira; VASSALLO, Raquel Frizera.
Proposta de um Ambiente Interacional baseado em um Espaço Inteligente Programável. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 12. , 2020, Cuiabá.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 181-190.
ISSN 2595-6183.
DOI: https://doi.org/10.5753/sbcup.2020.11224.
