المؤلفون: Berardini, Daniele, Moccia, Sara, Migliorelli, Lucia, Pacifici, Iacopo, di Massimo, Paolo, Paolanti, Marina, Frontoni, Emanuele

المساهمون: Berardini, Daniele, Moccia, Sara, Migliorelli, Lucia, Pacifici, Iacopo, di Massimo, Paolo, Paolanti, Marina, Frontoni, Emanuele

مصطلحات موضوعية: Bidirectional LSTM, convolutional neural network, fall detection, fine tuning, RGB videos

وصف الملف: ELETTRONICO

Relation: volume:1; numberofpages:9; journal:EXPERIMENTAL RESULTS; https://hdl.handle.net/11564/828518; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85103738185; https://www.cambridge.org/core/journals/experimental-results/article/fall-detection-for-elderlypeople-monitoring-using-learned-features-and-recurrent-neural-networks/E8F8812710F14796A0B15F42D937EB08

الاتاحة: https://hdl.handle.net/11564/828518
https://doi.org/10.1017/exp.2020.3
https://www.cambridge.org/core/journals/experimental-results/article/fall-detection-for-elderlypeople-monitoring-using-learned-features-and-recurrent-neural-networks/E8F8812710F14796A0B15F42D937EB08

المؤلفون: Pacifici, Iacopo, Sernani, Paolo, Falcionelli, Nicola, Tomassini, Selene, Dragoni, Aldo Franco

المصدر: Data in Brief ; volume 33, page 106455 ; ISSN 2352-3409

الاتاحة: http://dx.doi.org/10.1016/j.dib.2020.106455
https://api.elsevier.com/content/article/PII:S2352340920313378?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S2352340920313378?httpAccept=text/plain

المؤلفون: Berardini, Daniele, Moccia, Sara, Migliorelli, Lucia, Pacifici, Iacopo, di Massimo, Paolo, Paolanti, Marina, Frontoni, Emanuele

المساهمون: Ramírez Rivera, Adín

المصدر: Experimental Results ; volume 1 ; ISSN 2516-712X

الاتاحة: http://dx.doi.org/10.1017/exp.2020.3
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S2516712X20000039

المؤلفون: Sernani, Paolo

المساهمون: Pacifici, Iacopo, Falcionelli, Nicola, Tomassini, Selene, Dragoni, Aldo Franco, Iacopo Pacifici

المصدر: 10.17632/dzgczt98cz ; oai:easy.dans.knaw.nl:easy-dataset:189940 ; oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:189940 ; 10.17632/dzgczt98cz.1 ; 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 ; 10|re3data_____::db814dc656a911b556dba42a331cebe9 ; 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 ; 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14

مصطلحات موضوعية: Artificial Intelligence, Signal Processing, Gesture Recognition, Interdisciplinary sciences, info, stat

Relation: http://dx.doi.org/10.17632/dzgczt98cz; https://dx.doi.org/10.17632/dzgczt98cz; http://dx.doi.org/10.17632/dzgczt98cz.1; https://dx.doi.org/10.17632/dzgczt98cz.1

الاتاحة: https://doi.org/10.17632/dzgczt98cz
https://doi.org/10.17632/dzgczt98cz.1